Prompt-to-product workflows
Natural-language prompting and agentic tools replace direct code writing with a loop of specifying, generating, reviewing, testing, and iterating.
54%
Best tweets about No-Code
50 Best Tweets About No-Code (2026)
A curated collection of the sharpest, most-shared X posts about no-code—saved so you do not have to dig through the timeline yourself. Updated weekly.
Builders shipping real products without writing a line of backend code.
- Creators
- 47
- Updated
Original Xholic analysis
What 50 top No-Code posts reveal
No-code discussion is led by prompt-to-product workflows: builders describe requirements, generate output with AI or visual tools, and iterate through review and testing. Posts frequently point to niche and internal tools as use cases, while cautioning that security, testing, UX, operational visibility, and maintenance still matter for production use. The data contains 50 tweets; prompt-to-product workflows are the largest measured theme at 54% (27 tweets). IDs: 2026058635718398029, 2033480990417469946, 2079095746369135008
- Dominant tone
- Positive
- Median score
- 11.1
- Leading format
- Other
- Recent posts
- 32%
74% of posts
All-time engagement
58% of posts
Published in 90 days
Conversation map
The themes creators return to
Democratized building
Non-technical founders, operators, designers, and domain experts use AI and no-code tools to turn ideas into working products without traditional programming skills.
50%
Rapid MVP shipping
Fast, low-cost creation unlocks niche apps, micro-products, MVPs, and rapid validation by solo builders and small teams.
40%
Builder role shift
The builder role shifts from syntax and implementation toward problem selection, product judgment, clear requirements, design taste, distribution, and iteration.
34%
No-code product stack
Visual platforms and connected services enable websites, full-stack apps, databases, authentication, payments, deployment, and CMS workflows without custom backend work.
26%
Production readiness and guardrails
Real products still require engineering discipline: planning, testing, security, deployment, observability, maintenance, and human-centered UX.
22%
Workflow automation
Drag-and-drop and AI-generated automations connect business systems, data sources, forms, communications, and AI steps into operational workflows.
20%
Bespoke internal tools
Builders create bespoke internal apps, operational tools, dashboards, and automations to replace spreadsheets, manual work, and generic SaaS.
14%
Tone and stance
Sentiment Positive leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 31
- Median reposts
- 3
- Median replies
- 8
- Median views
- 2.1K
Posts with media make up 44% of this collection. Their median all-time score is 30.9, compared with 5.49 for text-only posts.
Format mix
- Other 58% · score 5.49
- List 36% · score 21.2
- Question 6% · score 20.3
Consensus and debate
Where creators agree, and where they do not
Shared view
Intent becomes the working interface
The largest measured theme, prompt-to-product workflows (27 of 50 tweets; 54%), describes builders specifying intent in natural language, having agents generate output, then reviewing, testing, and iterating. These posts place particular emphasis on clear requirements and feedback.
Shared view
Internal tools are a recurring use case
Posts describe bespoke internal tools, dashboards, and apps aimed at replacing spreadsheet-based or manual processes. Examples include agency HR, AI-content, and shipment-tracking tools, plus an internal app builder connected to company data and APIs.
Shared view
Builder work shifts toward judgment and direction
Several posts characterize the builder’s work as moving toward requirements, specifications, feedback, product decisions, and understanding how software is maintained and deployed, while agents handle more implementation work.
Open debate
Lower-code building does not eliminate engineering needs
Some posts argue that direct code and systems knowledge remain useful for complex work, and that maintaining an app requires understanding how it is built, maintained, and deployed. Others warn that long-running agents and multi-step automations need debugging capability, guardrails, testing, and logs.
Open debate
Fast generation is distinct from production readiness
Posts distinguish generating a runnable app from operating a usable product. They call out testing, security review, edge cases, observability, user flows, UX, and iteration as work to address before or after launch.
Open debate
Accessibility can create governance challenges
Posts express both accessibility and governance concerns around automation. One argues that uncoordinated employee-built agents can create duplicated, undocumented workflows, while another warns that complex flows require visibility, guardrails, testing, and logs.
What performs
Patterns behind standout posts
The largest engagement outliers combined theses with specifics
The five measured engagement outliers had all-time scores from 450.99 to 1,713.35, versus an overall median all-time score of 11.05. Their posts include expansive arguments about AI-assisted building, concrete workflows, or detailed product and tool descriptions.
Media posts had a higher median score than text-only posts
In the supplied analytics, posts with media had a median all-time score of 30.94, compared with 5.49 for text-only posts. Media appeared in 22 of 50 tweets (44%).
Statistical standouts
- View standout post 1 Score 1713.3 · 155.05× median
- View standout post 2 Score 716.0 · 64.79× median
- View standout post 3 Score 689.4 · 62.39× median
- View standout post 4 Score 683.9 · 61.89× median
- View standout post 5 Score 451.0 · 40.81× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 16% of the selected posts.
-
1. Vaishnavi
@_vmlops
2 posts
-
2. andrew chen
@andrewchen
2 posts
-
3. The Jobfather ® 🇯🇲🇨🇦🇬🇧
@TheJobfather__
2 posts
-
4. Aje | the Gohighlevel Guy
@Aje_Dynamicz
1 post
-
5. Alex Barashkov
@alex_barashkov
1 post
-
6. AllurePixel
@AllurePixel
1 post
Non-engineers are presented as potential builders
Posts position non-engineers and product professionals as potential builders. One post reports that 40 PMs with no coding experience shipped eight listed products in eight weeks; others compare agentic tools with the accessibility of spreadsheets.
The no-code stack is composable
Tool-oriented posts describe connected workflows spanning visual builders, databases, authentication, payments, deployment, forms, communications, CRMs, spreadsheets, and AI steps rather than relying on one product alone.
Since the previous snapshot
What changed since Aug 7, 2026
- 50% of the selected posts remained.
- The creator count changed by +2.
- The leading sentiment remained stable.
How this analysis was made
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 50-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best No-Code tweets
Top No-Code tweets from 47 creators
Ranked 01–50
- 01
@naval ·
Vibe Coding Is the New Product Management “There’s been a shift—a marked pronouncement in the last year and especially in the last few months—most pronounced by Claude Code, which is a specific model that has a coding engine in it, which is so good that I think now you have vibe coders, which are people who didn’t really code much or hadn’t coded in a long time, who are using essentially English as a programming language—as an input into this code bot—which can do end-to-end coding. Instead of just helping you debug things in the middle, you can describe an application that you want. You can have it lay out a plan, you can have it interview you for the plan. You can give it feedback along the way, and then it’ll chunk it up and will build all the scaffolding. It’ll download all the libraries and all the connectors and all the hooks, and it’ll start building your app and building test harnesses and testing it. And you can keep giving it feedback and debugging it by voice, saying, “This doesn’t work. That works. Change this. Change that,” and have it build you an entire working application without your having written a single line of code. For a large group of people who either don’t code anymore or never did, this is mind-blowing. This is taking them from idea space, and opinion space, and from taste directly into product. So that’s what I mean—product management has taken over coding. Vibe coding is the new product management. Instead of trying to manage a product or a bunch of engineers by telling them what to do, you’re now telling a computer what to do. And the computer is tireless. The computer is egoless, and it’ll just keep working. It’ll take feedback without getting offended. You can spin up multiple instances. It’ll work 24/7 and you can have it produce working output. What does that mean? Just like now anybody can make a video or anyone can make a podcast, anyone can now make an application. So we should expect to see a tsunami of applications. Not that we don’t have one already in the App Store, but it doesn’t even begin to compare to what we’re going to see. However, when you start drowning in these applications, does that necessarily mean that these are all going to get used or they’re competitive? No. I think it’s going to break into two kinds of things. First, the best application for a given use case still tends to win the entire category. When you have such a multiplicity of content, whether in videos or audio or music or applications, there’s no demand for average. Nobody wants the average thing. People want the best thing that does the job. So first of all, you just have more shots on goal. So there will be more of the best. There will be a lot more niches getting filled. You might have wanted an application for a very specific thing, like tracking lunar phases in a certain context, or a certain kind of personality test, or a very specific kind of video game that made you nostalgic for something. Before, the market just wasn’t large enough to justify the cost of an engineer coding away for a year or two. But now the best vibe coding app might be enough to scratch that itch or fill that slot. So a lot more niches will get filled, and as that happens, the tide will rise. The best applications—those engineers themselves are going to be much more leveraged. They’ll be able to add more features, fix more bugs, smooth out more of the edges. So the best applications will continue to get better. A lot more niches will get filled. And even individual niches—such as you want an app that’s just for your own very specific health tracking needs, or for your own very specific architectural layout or design—that app that could have never existed will now exist.”
Watch video
- 02
@sharbel ·
Vapi charges $0.05/minute per call. Retell charges $0.07/minute per call. A 10-person sales team running 8 hours of AI calls a day pays Vapi $1,200/month. $14,400/year. Someone built the open source alternative to both. It's called Dograh. 1,516 stars on GitHub. You open the drag-and-drop workflow builder. You name your bot. You describe the use case in a sentence. You have a working voice agent in under 2 minutes. No API contracts. No per-minute billing. No vendor lock-in. Here's what it does: → Drag-and-drop workflow builder for inbound and outbound voice agents. No code required. → Bring your own LLM. OpenAI, Anthropic, or any provider you already use. → Bring your own STT. Swap speech-to-text engines without rebuilding your agent. → Bring your own TTS. Full control over voice, latency, and cost. → Outbound calling campaigns. Dial lists, lead qualification, follow-ups. → Inbound call handling. Receptionists, support bots, appointment schedulers. → WebRTC and VoIP support. Real phone calls and browser-based voice. → Built on Pipecat and FastAPI. Production-grade Python backend. → Next.js frontend. Runs entirely in your browser. No desktop app needed. → One Docker command to self-host everything. Running in under 60 seconds. → Full source-level customization. Every line of code is yours to modify. → Data residency on your own infrastructure. No call audio leaves your server. Here's the wildest part: There is no Dograh cloud you are forced to use. There is no per-minute meter running on someone else's servers. There is no closed-source black box deciding what your voice agent can and cannot do. Vapi is SaaS only. Retell is SaaS only. Both are proprietary. Neither lets you see the code. Neither lets you change the code. Neither lets you own the infrastructure. Dograh can never lock you out. Because the code is sitting on your own machine. Vapi: $0.05/minute. A 10-person team at 8 hours/day of calls pays $14,400/year. Retell: $0.07/minute. Same team. Same usage. $20,160/year. Dograh: $0. Unlimited agents. Unlimited calls. Your hardware. Your data. Forever. 344 forks. Built in Python. Maintained by YC alumni and exit founders. BSD-2-Clause licensed. Self-hosted. Free forever. 100% Open Source.
- 03
@businessbarista ·
One of the most productive engineers I know cannot read code. @mvanhorn is not an engineer by training. He co-founded June, has 44,000 GitHub stars, and got contributions merged into Go & Python. I had him build live for an hour & walk me through his process. My fav lessons & quotes from the convo: 1) He never reads code. He does not have an IDE installed. In his words, "I fundamentally believe that very soon no humans should ever write any code and that no humans should ever read any code." 2) Every project starts with the agent writing itself a plan.md file using Compound Engineering. Agents are lazy, he says, and the plan keeps them honest. He never reads the plan either. "Plans are for agents, you silly human." 3) His CLIs leave notes for themselves. Each run records what it learned in a markdown file, so the next run starts where the last one ended. He calls them self-healing. 4) His agent has an email address. From Telegram on his phone, he sends a task. It emails his Mac, authenticated, and the work starts while he is at his kids' soccer practice. 5) He feeds whole transcripts, not summaries. After a two-hour meeting with a Google Ventures researcher, his agent read the researcher's entire book, wrote itself a report on every chapter, and turned it all into a plan for his business. 6) Him yapping to his agents is like nerd ASMR. "Go agent go" is how he likes to finish telling the agent what to do. 7) How he thinks about this next chapter of building: "Every generation of tools moves the engineer's job up a level. The code was never the point. The problem was."
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- 04
@andrewchen ·
prediction re the end of spreadsheets AI code gen means that anything that is currently modeled as a spreadsheet is better modeled in code. You get all the advantages of software - libraries, open source, AI, all the complexity and expressiveness. think about what spreadsheets actually are: they're business logic that's trapped in a grid. Pricing models, financial forecasts, inventory trackers, marketing attribution - these are all fundamentally *programs* that we've been writing in the worst possible IDE. No version control, no testing, no modularity. Just a fragile web of cell references that breaks when someone inserts a row. The only reason spreadsheets won is that the barrier to writing real software was too high. A finance analyst could learn =VLOOKUP in an afternoon but couldn't learn Python in a month. AI code gen flips that equation completely. Now the same analyst describes what they want in plain English, and gets a real application - with a database, a UI, error handling, the works. The marginal effort to go from "spreadsheet" to "software" just collapsed to near zero. this is a massive unlock. There are ~1 billion spreadsheet users worldwide. Most of them are building janky software without realizing it. When even 10% of those use cases migrate to actual code, you get an explosion of new micro-applications that look nothing like traditional software. Internal tools that used to live in a shared Google Sheet now become real products. The "shadow IT" spreadsheet that runs half the company's operations finally gets proper infrastructure. The interesting second-order effect: the spreadsheet was the great equalizer that let non-technical people build things. AI code gen is the *next* great equalizer, but the ceiling is 100x higher. We're about to see what happens when a billion knowledge workers can build real software.
- 05
@rauchg ·
Code is an output. Nature is healing. For too long we treated code as input. We glorified it, hand-formatted it, prettified it, obsessed over it. We built sophisticated GUIs to write it in: IDEs. We syntax-highlit, tree-sat, mini-mapped the code. Keyboard triggers, inline autocompletes, ghost text. “What color scheme is that?” We stayed up debating the ideal length of APIs and function bodies. Is this API going to look nice enough for another human to read? We’re now turning our attention to the true inputs. Requirements, specs, feedback, design inspiration. Crucially: production inputs. Our coding agents need to understand how your users are experiencing your application, what errors they’re running into, and turn *that* into code. We will inevitably glorify code less, as well as coders. The best engineers I’ve worked with always saw code as a means to an end anyway. An output that’s bound to soon be transformed again.
- 06
@alex_barashkov ·
It’s never been easier to build your own creative apps. npx @pixel-point/toolcraft create - Give your agent references from Pinterest - Write a short prompt describing your visual idea - Get a full-fledged creative environment with a canvas, controls, and export built in
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- 07
@warikoo ·
In the last 10 days - Designed a fully working website from scratch, in 5 hrs - Drafted ~95%-ready legal documents for a new product in under 2 hrs - Created 100% ready presentations from mockups, in under 30 mins - Built a custom app for personal use in 3 hrs All using English as the programming and design language. "I don't know how to code' isn't the obstacle anymore. It is the willingness to do.
- 08
@DeRonin_ ·
My tech stack for solo building (no-code): Framer – landing pages & websites Webflow – advanced site building Bubble – full web apps Airtable – database Zapier & n8n – automation Make – advanced workflows Stripe – payments Versel – deployment process for web apps Supabase – backend + auth + storage, all-in-one Tally – forms to be honest, I mostly use Claude Max, but there you usually have to work with code if you're just starting out, this stack will be more than enough but it really depends on how complex the thing you want to build is in many cases, working directly with code is still the better option no-code builders can leave gaps or not fully implement your idea that's the reality, but they're still very useful
- 09
@gregisenberg ·
a post called "the west forgot how to code" is going viral among devs. the thesis: AI assisted devs ship faster but understand nothing. the next generation will be illiterate at the layer that matters. tbh, this panic happens every single decade. - assembly devs said C devs were illiterate. - C devs said java devs were illiterate. - java devs said react devs were illiterate. - react devs said no-code builders were illiterate. every single one of them was correct. every single one of them was also irrelevant within 10 years. the pattern is always the same. the new generation abstracts away the thing the old generation spent a career mastering. the old generation calls it dangerous. the new generation ships 10x faster & doesn't care. the market rewards speed. the cycle repeats. what's interesting is that the "illiterate" generation always wins. they win because they ship faster, build with less ego, & don't carry the baggage of what code is supposed to look like. they haven't been taught what's "proper." so they just build what works. the mass commoditization of coding is the mass democratization of building. the thing that used to take a team of 10 and $2 million now takes one person and a weekend. this means more competition. but it also means more weird, specific, niche products that never would have existed because the cost to build was too high. a million micro-products serving a million micro-audiences. the entire long tail of software just got unlocked. the people writing these posts are mourning a world where knowing how to code was a moat. it was. for decades. knowing how to code meant you had leverage that most people didn't have. that leverage is evaporating and it's uncomfortable. and I get it. I studied computer science at university. but the thing that replaced it is way more interesting. the new leverage is knowing what to build, who to build it for, and how to get it in front of them. that's harder to learn from a tutorial. that's harder to automate. & that's where the real compounding happens. the real question is "what happens when 100x more people can build" and the answer is a lot of garbage and a few things that change everything. that's always the answer. that was the answer with blogs, with youtube, with podcasts, with mobile apps. the gatekeepers always mourn the gate. that's terrifying if your identity is "I am a coder." it's the greatest opportunity in history if your identity is "I build things people want." okay, i had too much coffee. back to building.
- 10
@patrick_oshag ·
Some early thoughts after building real apps by myself for the first time… We built an internal tool called Conveyor It’s an app builder, and internal App Store It is connected to all of our data, context, and external data APIs I’m completely and utterly useless as an engineer, but I’m good at knowing what I want a tool to do. I’d previously struggled to make useful programs with pure CLIs. Our wrapper made it easy for me. In the first 3 days of having this tool, I’ve built several fairly complicated applications, two of which I’ve used a ton for real work. I’ve only used a couple hundred million tokens so far. Some early feelings: 1) It’s obvious to my that my companies Positive Sum and Colossus will have fully bespoke operating systems, built in house. They will manage as much of our work as possible. This is already exploding for things like research and reporting. Every business will want this for themselves. Sure we won’t built our own slack, but we will built everything that pertains specifically to our shape as a firm, which is a lot. 2) x402 protocol (which enables AI agents and users to pay for API access and digital services instantly, without accounts or subscriptions) is immediately interesting to me. Many times I’ve wished I could just stream payments for individual data points. 3) right now each loop of prompt to output takes 5 to 15 minutes. As models and ASICs (@Etched !) make this faster, it’s going to be so much more fun. Even 5 minutes makes it hard to get in the flow. Can’t wait for seconds instead of minutes. 4) it’s so much easier to design things by starting with a shitty first draft of an app and seeing what’s wrong and iterating than nailing a full design ahead of time. When I had directed the design of software before this was always maddening and slow. 5) this has made me realize that my imagination had atrophied. Use it or lose it is real. Very quickly I’m finding it easier to have good ideas by building more stuff. I encourage everyone to do the same. So fun and rewarding. 6) We need more compute
- 11
@oguzgibibiri ·
g'Xero everyone 🙌🏻 Finally, I'm number #1 on the @CodeXero_xyz 7-day leaderboard! CodeXero is bringing no-code and prompt-based dApp building closer to mainstream Web3 adoption. In my opinion, removing the need for deep technical skills opens the door for more creators, founders and non-developers to turn ideas into real on-chain products. For me, this shift is important because innovation shouldn’t be limited to engineers creativity, speed and experimentation should matter just as much. If prompt-driven builders continue to improve, Web3 could move from a developer-only space into a more open, creator-driven ecosystem.
- 12
@itsolelehmann ·
what's happening inside Anthropic right now is genuinely fascinating: DESIGNERS are now shipping production code with no engineer in the loop at all these are non-technical people with zero coding background. engineers on the team said designers are making "large state management changes you typically wouldn't see a designer making" think about what that means for a second. at every tech company in the world, designers and engineers are two separate roles. designers make mockups, engineers write code. that's been the deal for decades. at anthropic, that line is completely disappearing now. here's what their designers actually do now: it starts with a screenshot. 1) a designer takes their figma mockup and pastes the image directly into claude code. 2) claude looks at the image and generates a fully functional prototype from it. working code that engineers can immediately build on. this alone replaced the entire traditional cycle of: make static design → write spec → hand to engineer → wait → review → give feedback → wait again → repeat. but that's just prototyping. from there, designers implement front-end changes themselves. typefaces, colors, spacing, layout, etc directly in the codebase. no ticket filed, no engineer pulled in. and it goes further than visual polish. designers are now making state management changes (the code that controls how data moves through the app, even junior engineers find this tricky) and for their ongoing backlog of polish and bug fixes, they don't even open claude code. they just file a github issue (basically task description) describing what they want changed… and claude automatically proposes a code solution. then the designer reviews it and ships it. so there's a persistent stream of improvements flowing into production without pulling a single engineer off their work. they also use claude code to map out edge cases during the design phase. the stuff that used to only get discovered later when engineers actually built the thing. so now the designs are better AND they ship faster because the edge cases are already handled before engineering starts. one detail i love: they set up a custom memory file that tells claude: "you're working with a designer who has little coding experience. give detailed explanations. make smaller, incremental changes." claude adapted its entire approach based on that one file. here are some cool numbers, straight from the product design team: • claude code is now open alongside figma 80% of the time • 2-3x faster execution across the board. the designers' reaction when it all clicked: "holy crap, I'm a developer workflow" the boundaries between roles are dissolving. quietly. i think what's happening internally at anthropic is 2-3 years ahead of what will happen to the rest of the world
- 13
@Aje_Dynamicz ·
Vibe Coding has officially arrived inside n8n and it's going to change how a lot of freelancers and developers build automations... Instead of spending time searching for the right node, connecting everything manually, and configuring each step one by one, you can now describe the workflow you want in plain language and let AI build the foundation for you. For freelancers, this means: Faster delivery times More projects completed in less time Reduced setup fatigue Lower barrier to offering automation services For developers, it means... Rapid prototyping Less time on repetitive workflow setup More focus on logic, optimization, and business outcomes Easier collaboration with non-technical teams The biggest win is that automation becomes accessible to more people. A marketer, operations manager, or business owner can explain a process in natural language and get a working workflow without needing deep technical knowledge. That doesn’t replace developers; it makes developers more productive. The real value shifts from dragging nodes around to designing better systems, solving complex problems, and refining workflows that create measurable results. AI-generated workflows won’t eliminate expertise. They’ll simply remove a lot of the repetitive work that slows experts down. The future of automation isn’t just no-code. It’s intent-driven building where ideas turn into workflows in minutes instead of hours...
- 14
- 15
@davidonchainx ·
The time between having an idea and shipping it has never been shorter in human history 6 months ago I got quoted $30K by a dev agency to build out my idea for the Creatorverse A few months later I built the whole thing myself using Claude even though I can't write a single line of code In the last 4 months I've generated over $120K in revenue through my fully vibe coded platform None of this was possible just a few years ago A new generation of builders is emerging and they look nothing like the builders who came before them They're not just engineers and computer science graduates anymore They're anyone with an idea, a deep understanding of their problem, and the determination to build the solution The barrier to building is gone The only barrier left is deciding to start
- 16
@CodeXero_xyz ·
What CodeXero actually does under the hood: → takes your description/prompt → parses intent, not syntax → breaks it into discrete executable tasks → writes and audits the contract logic → deploys onchain The interface is a prompt, the output is a live dApp and everything in between is what used to take weeks.
- 17
@Layton_Gott ·
In 2-3 years nobody is going to care if you can write code from scratch. They're going to care if you can build products. Every month AI gets better at writing code. Every month the gap between "vibe coder" and "traditional coder" gets smaller. Every month the thing that actually matters shifts further from syntax to vision. The devs clowning on vibe coders right now sound exactly like the people who said "real programmers don't use IDEs" in 2005. I build Scribe almost entirely with Claude Code. I describe what I want. It builds it. I review it, test it, and ship it. The product works. Users don't care how it was made. The skill that lasts isn't writing code. It's knowing what to build, how to architect it, and how to get it in front of people. Learn to code if you want to. But don't let anyone tell you it's a requirement to build software anymore. It's not.
- 18
@shushant_l ·
I'm amazed most people still think you need to code everything manually. Here's how to build complete apps faster with vibe coding and AI. --- 1. Vibe coding lets you describe your app in plain English instead of writing every line of code. --- 2. Your AI assistant generates functional code, while you guide, refine, and debug the project. --- 3. The workflow follows a simple loop: Describe, Generate, Review, Iterate, and Deploy. --- 4. Start with a detailed prompt that clearly explains your app and desired features. --- 5. Let AI generate the frontend, backend, UI, and database structure automatically. --- 6. Review every output instead of assuming AI-generated code is production-ready. --- 7. Keep improving your prompts instead of rewriting everything from scratch. --- 8. Deploy only after testing your application thoroughly in a real environment. --- 9. Lovable is ideal for building polished full stack apps with minimal effort. --- 10. https://t.co/H9g78AyOFv is great for quickly prototyping ideas directly in the browser. --- 11. Cursor is one of the best AI-powered code editors for developers. --- 12. Claude Code provides a powerful terminal-based AI coding workflow. --- 13. Replit helps you build and deploy complete applications from your browser. --- 14. GitHub Copilot speeds up coding by assisting with suggestions, debugging, and code completion. --- 15. Give AI technical context before asking it to generate code. --- 16. Clearly describe features from the user's perspective to get better results. --- 17. Explain how new features should integrate with your existing application. --- 18. Ask AI to create implementation plans, write tests, and review edge cases. --- 19. Always check AI-generated code for security issues before shipping it. --- 20. Remember that your role is becoming the architect, while AI handles much of the implementation. --- To learn more, check the infographic. ---
- 19
@Hartdrawss ·
Read this if you're Vibe Coding and want to ship something real ! 40 things every vibe coder needs to know : 1. your CLAUDE[.]md is more important than your first prompt 2. never store API keys in frontend code 3. use clerk or supabase auth, dont build it yourself 4. validate every input with zod before it touches your database 5. rate limit your login and register routes from day one 6. httpOnly cookies for tokens, not localStorage 7. never return raw database objects in API responses 8. parameterized queries only, no string concatenation 9. run npm audit before every client delivery 10. env vars in .env, never in source code, never in git 11. read every line of code the AI generates before you push 12. add sentry on day one, not after something breaks 13. mobile layout is not an afterthought, check it every build 14. write a README before you write your first component 15. use stripe for payments, build nothing custom 16. tailwind and shadcn will save you 40 hours per project 17. vercel for deploys, stop overthinking infrastructure 18. posthog for analytics from the start 19. supabase RLS policies before you go live, not after 20. test the actual user flow before you call it done 21. onboarding is a feature, not a nice-to-have 22. first user action should happen in under 60 seconds 23. empty states need copy that tells users what to do next 24. error messages should explain what went wrong and how to fix it 25. your loading state is part of the product experience 26. build the happy path first, then handle the edge cases 27. one clear CTA per screen, not four 28. if a user has to ask how to use it, the UI failed 29. ship to 5 real users before you optimise anything 30. document your API before your first client handoff 31. use feature flags so you can turn things off without a deploy 32. backups are not optional, test the restore too 33. dont run the database as root 34. CORS locked to your domain, not wildcard 35. SSL certificate before the first external user 36. console.log statements cleaned before production 37. write the client update email before you write the code 38. charge a deposit before you write a single line 39. scope creep kills margin, get change requests in writing 40. the client paying late is data, not a surprise save this. build something real.
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@Div_pradeep ·
🚨BREAKING: Researchers just showed AI agents controlled in plain English beat coded agents. Not slightly. By up to 55%. Here is what they found. A team at Tsinghua built agents where the entire control logic is written in natural language. No code. Just instructions describing steps, rules, and failure handling. Then a runtime executes those instructions directly. They tested it against traditional code-based agents on real tasks. Same model. Same tools. Same setup. Only difference: control layer. Results: → English-controlled agent: 47.2% → Code-controlled agent: 30.4% That is a massive gap. But the real difference shows up during failure. When things broke: → Code agents got stuck in loops → English agents adapted One agent switched from GUI to command line to fix a system issue. Another rewrote outputs and verified them instead of retrying blindly. Same intelligence. Better control. They also made the system modular. Add a “self-evolution” block → performance improves Add persistent state → performance improves Remove it → gains disappear cleanly Like Lego. But for AI behavior. And here is the bigger shift. The paper reframes “prompt engineering” into something else: Context engineering. Not one prompt. An entire system of instructions, memory, and decisions written in plain language. Which means: You no longer need to code agents. You need to design them. Because the control layer is no longer software. It is language. And that changes who can build AI.
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@andrewchen ·
why are spreadsheets the GOAT of no code tools? - unintimidating interface, just type numbers in a grid - easy to make something useful - shareable with a link - copy and make your own - insanely deep use cases (as a database, CRM, forecasting tools, etc) - finance team loves it, and they approve the budgets lol how many of these translate to agentic coding tools? - it's chat, could the UI be simpler? - you can build one-shot apps easily - insanely deep - share the output with a link - finance loves it as it gives more leverage and will cut SaaS costs There's more to do, but history rhymes. It has to be easier to share the code (not just the output), better management of forks, and more demonstration of operating leverage. But it's so powerful that it's inevitable agentic coding spreads as wall-to-wall as spreadsheets have And as I argued before, agentically coded apps I think will ultimately subsume spreadsheets completely. Maybe some will still want a grid UI, but underneath will be agentically created code
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@sourfraser ·
I have zero coding experience, yet I've built 3 internal tools that help run our agency. No developer or budget needed. Just a few spare hours. These are the 3 internal tools we use every day at Fraggell: 1) HR App We were paying £40/month for some bloated HR platform. Using maybe 10% of the features. So I built my own. • Staff log in • Request holidays • Report sick or WFH. It tracks everyone's holiday balance. Syncs to a team calendar that feeds straight into Google Calendar. Also groups people by department. So when someone requests time off, we never approve it if someone else in the same team is already out. First vibe code thing I ever built and it only took an afternoon. 2) Fraggell AI Studio The team was jumping between like four different AI video platforms depending on the client. So I built one platform that wraps all of them: • Sora, VO 3.1, Kling. • Every resolution • Every aspect ratio. • Character consistency for Sora built in. • Upscaling. And a filter system so they can label everything by brand when they're working across multiple clients at once. It’s also ludicrously cheaper than paying for all the subscriptions separately. 3) UGC Shipment Tracker UGC shipments are the bane of our lives. We were manually copying tracking numbers for every single creator. It was a nightmare. My business partner built this. One dashboard with every shipment going out to creators across the entire company. Auto-tracks delivery. If a creator gets their product and doesn't send footage within 5 days, it automatically pings the relevant team member. If they still don't respond, it escalates. We call them. None of this required a developer. Just a bit of time and a clear brief on what you actually need. If you're running an agency and you've got manual processes eating your team's time, build the tool. It probably takes a day.
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@iamberzio ·
Wild to think how fast building in Web3 is changing. With @CodeXero_xyz , you can literally take an idea in your head and turn it into a working dApp without touching code. Running on Sei and powered by Cluster Protocol, it’s built for speed, but the real unlock is accessibility. You don’t need to be a full stack engineer anymore. Creativity matters more than syntax now. This is what vibe coding actually feels like: • test ideas quickly • iterate in public • ship products that real users can try Web3 isn’t just for hardcore devs anymore. If you’ve got an idea and curiosity, you’ve got everything you need to start. The future of building feels a lot more human and a lot more fun .
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@StevenCravotta ·
The future of apps is not the solo genius coder. It's the non-technical founder using AI to move 10x faster. 1: Sketch the screens. 2: Use Stitch to design it. 3: Use Rork or Anything to build 80% of the MVP. 4: Pay a dev to finish the hard parts. If you still build like it's 2015, you lose.
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@betomoedano ·
AI has changed the way software is built. As an experienced engineer, I can confidently say that it’s absolutely possible to build, deploy, and maintain an app without writing a single line of code. Writing code by hand is no longer necessary. But that doesn’t mean anyone can simply prompt an AI to build an app and succeed. This is why experienced engineers are seeing incredible productivity gains. They already have the knowledge and mental models needed to guide AI in building real software. Non-technical people who want to build an app without learning to code don’t need to learn coding syntax. They need to understand how mobile apps are built, maintained, and deployed.
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@gaetano_nyc ·
A lot of my clients are telling me that deals are stalling in the pipeline because of "buy vs build" dilemma. With coding assistants and low-code development apps, companies are going for more open source solutions and building on their own instead of buying SaaS... especially for basic things like a simple iPaaS, data integrations, reporting and dashboarding tools, etc. One customer even built their own solution and canceled his SaaS subscription. This is not being talked about enough.
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@toddsaunders ·
"Blue collar workers can't build software." This is favorite commentary every time I post about blue collar builders. It's funny..... because they said the same thing about Shopify merchants. Nobody looked at someone setting up a Shopify store and said "wow, look at this non-technical person learning to code." They said "that person is building a business." The software was incidental, but the outcome was the point. Same thing is happening right now in the trades. A plumber using Claude Code isn't "learning to code." He's building a quoting tool that works the way his business actually works. Because the one he's paying $1,200 a month for doesn't. The framing is completely wrong. These aren't non-technical people becoming technical. These are domain experts who finally have tools that speak their language, and solve their deepest most nuanced problems that only they understand. The right question to be asking at this point is "what happens when the people closest to the problem can finally build the solution?" IMO what happens is better software that actually has domain expertise well beyond a workflow and inference. Nobody calls a Shopify merchant a "software developer." Stop calling a tradesperson with Claude Code one as well. They're builders. That's what they've always been.
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@JustAnotherPM ·
Here's what 40 PMs with zero coding experience shipped in 8 weeks: • Room redesign AI from photos • Sari recommendation engine • AI resume coach • Invoice reader • Brand-aware social media generator • Makeup review browser extension • Exam prep app for 8th graders • Mechanic price validator All live. All working. All at real URLs.
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@ericdjav ·
I use Claude to build my entire app. Here's my actual workflow: → I describe the feature in plain English → Claude writes the code → I review, test, iterate → Ship to 2,580 users I don't write code. I write product specs to an AI that writes code. My job title should be "AI Product Director" but I still call myself a founder. The skill ceiling moved from "can you code this?" to "can you describe what to build clearly enough?" That's the real AI shift nobody's talking about.
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@AllurePixel ·
Collins named "vibe coding" Word of the Year I've been doing it for 1 months with zero coding background Here's what nobody tells you 41% of all code written in 2026 is AI-generated MIT called it a top 10 breakthrough technology 63% of vibe coding users are non-developers Sounds like the future arrived and it's easy It's not I'm building a full-stack web app from scratch Next.js, Supabase, real-time charts, gamification engine, 6 content modules, auth system, the works My dev environment is a $10/month VPS, Cursor, and Claude Code in a terminal I don't know what a hook is I still google what DNS means sometimes It works Not perfectly, not easily, but it works I went from literally not knowing what a terminal is to having a working app with 27 completed development phases, real users coming soon, and a Product Hunt launch in the pipeline The era of "just have an idea" is here
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@arrakis_ai ·
holy sht.. AI just changed how software gets built. Codex App might be the closest thing to a GPT-3 moment for development. For years, AI coding tools lived inside terminals. Claude Code, Codex CLI, all incredibly powerful, but they still felt like tools built by developers, for developers. Flexible? absolutely. But also fragmented, full of setup, plugins, MCP servers, and custom workflows. Great for engineers. Not exactly a product for everyone else. What Codex changes isn’t just the model. It’s the interface of development. Instead of stitching together tools, environments and scripts, you simply talk to the system. Behind the scenes, agents read your codebase, modify files, install dependencies and execute tasks. Software creation starts to feel less like programming and more like delegating work. The moment it clicked for me was simple. During the OpenClaw wave I bought a Mac mini and set up a fresh environment. Normally the first installs would be npm or brew. This time it was Codex. I gave it full access and asked it to install everything needed to run the project. Dependencies, environment setup, configuration, runtime. All from a single prompt. Watching the system configure itself without touching the terminal once felt like looking at the next interface of computing. Not because AI wrote code. But because the computer started executing intentions instead of commands. Most people think AI will democratize coding by generating code faster. But that’s not the real shift. The real shift is that software development is slowly moving from writing code to assigning tasks to agents. Historically computing had three main interfaces. CLI for engineers, GUI for consumers, APIs for systems. AI introduces a new one. The agent interface. You don’t operate the software anymore. You tell systems what outcome you want and they orchestrate the process. If that interface becomes mainstream, the impact goes far beyond coding. It changes how startups are built, how products are shipped, and how technical the world needs to be to create software. Codex App might be one of the first glimpses of that future.
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@jspeiser ·
The funny thing about no-code tools like OpenClaw: they’ll get so advanced that non‑technical peeps like me can’t safely run them alone. Once you have: • Bots that remember things and act over days, they start “going off script” and you need someone who can debug their memory. • Multiple AI providers, rate limits, apis, and costs to juggle, you need someone who understands how the pipes actually work. • Automations that can send emails, change data, touch customers, you need guardrails, testing, and logs or they’ll quietly break things. • Giant drag‑and‑drop flows with 30+ steps, it’s no longer “no‑code”, it’s just messy code in boxes. In the end, you don’t replace developers. You just move the code from a text editor into a flowchart. Am I wrong?
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@chhddavid ·
$270k. that's what it used to cost to make a website look like real expert humans made it. thats over. I've been vibe coding websites and mobile apps for over a year and I honestly believe there's no difference between "indie hacker" and "VC-backed SaaS with 35 employees" anymore... but this is different. type out your thoughts and ai... adapts. design, code, monetization, launch, email marketing - you're not doing anything anymore, just approving/disapproving AI's decisions the skill now is SHIPPING. knowing what sticks and what doesn't, then doubling down on what actually works an old friend of mine has 0 technical ability. literally none. created his own calorie tracking app two weeks ago and it's better than half the agency work I've seen the last 6 months. took him <18 hours... and he didn't code/design/write a single thing. he just took an already-validated idea and made it his own... https://t.co/h8lDo5BTV6
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@heyDhavall ·
Meet Ycode: The Open-Source Alternative to Webflow and Framer Designers, founders, and agencies do not need another closed website builder. They need the speed of visual development with the freedom to actually own their stack. Ycode is now open source, giving you a powerful way to build and manage custom websites visually, without being locked into platforms like Webflow or Framer. 🔗 https://t.co/PaoXh8yF9Z Think of Ycode as a visual website builder with more control. You can design pages, manage dynamic CMS content, and launch faster with a modern visual editor, while choosing whether to self-host it yourself or use Ycode Cloud. Key Features: • Open-source visual website builder with built-in CMS • Strong alternative to Webflow and Framer • Build custom websites visually without giving up flexibility • Self-host on your own infrastructure or use Ycode Cloud • Dynamic CMS workflows for content-driven sites • Built for designers, founders, and agencies who want more ownership If Webflow and Framer feel limiting, Ycode gives you another path. Build visually. Own the stack. Stay in control.
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@kritarthmittal ·
the biggest advantage in business used to be capital. then it became distribution. now it's speed. a year ago, even building with AI felt like work. you still needed devs, designers, multiple tools, and plenty of trial and error. today my workflow is much simpler. build an app with superapp ai. generate ugc with arcads. automate the backend with n8n. ship. the crazy part isn't that these tools are perfect. they're not. they break, hallucinate, and overpromise all the time. the crazy part is that i barely think about hiring anymore. my first instinct isn't "who can do this?" it's "which tool should i use?" that shift happened much faster than i expected. last week i built an app and created ads for it in less time than it took me to edit the launch video. not mockups. not concepts. something real. which makes me think the bottleneck is moving. building is becoming easier. getting people to care is becoming harder. soon, almost everyone will be able to build products. the winners won't be the people with the best technical skills. they'll be the people with the best ideas, the best distribution, and the ability to test faster than everyone else. most importantly, we're still using the worst versions of these tools we'll ever see. next year's models will be faster. cheaper. more capable. what feels impressive today will eventually feel ordinary. i don't think we've fully processed how much that changes the way companies get built. what AI tools have become part of your daily workflow? always looking for underrated ones to try.
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@Iam_Mayor_ ·
I just realized something about being a developer in 2026… It’s no longer about who can code. It’s about who can ship faster with context. Back then, knowing syntax made you valuable. Now AI knows syntax better than you. So what actually separates devs today? → Understanding real-world problems → Knowing what not to build → Turning ideas into working products quickly → And most importantly… taste. Yes, taste. The ability to look at a product and say: “This feels right” or “This will flop.” Most developers are still stuck in tutorial mode, building clones. The real winners are building: • tools for niche markets • solutions for everyday frustrations • systems that make money, not just sense Here’s the shift nobody is talking about: We’re moving from code-first developers to decision-first builders. The best devs I’ve seen lately don’t even start with code. They start with: “What problem is worth solving?” “Who will actually pay for this?” “How fast can I validate this idea?” Then they use AI, no-code, APIs—whatever works. They don’t care about being “perfect engineers.” They care about being effective creators. And honestly? That mindset is what will separate the next generation of devs. Not React. Not Python. Not even AI. Just execution.
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@degensing ·
everyone's shipping faster. that's the problem. vibe coding, no-code, ai scaffolding. the floor dropped out. a working app in 48 hours is table stakes now. so why are most products still broken? because "working" means two different things: • working code runs without errors. • working products run without confusion. • working code passes the build. • working products survive the second session. one is a technical bar. the other is a human one. founders optimized for the first bar and called it shipping. then wondered why retention was flat and support queues were full. the real cost of shipping fast isn't technical debt. it's the gap between "it works" and "it works for someone." speed got you to launch. iteration is what gets you to product. what did your last v1 teach you that your plan didn't?
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@EugenioFierro3 ·
Canva Code 2.0 turns prompts into published sites Canva just opened up its AI coding tool to its entire community, over 265 million monthly users, free accounts included. Describe a website, app or interactive experience in plain language, then edit it like any other Canva design. No code editor, no technical intimidation. 🚀 Starting this week, Canva Code 2.0 is available to the entire Canva community across every pricing tier, including free accounts. It's Canva's most aggressive move yet into the fast-growing vibe coding market, a category that barely existed 18 months ago but has already produced billion-dollar startups like Lovable and Replit. 🎯 Where rivals such as Lovable, Replit and https://t.co/NnxcsnQG1l focus on generating functional code from text, Canva is betting on a different problem. Danny Wu, Canva's Head of AI Products, put it bluntly: "We are deliberately targeting non-technical users. Canva Code isn't a tool we're building for developers." His argument is that most vibe-coded output looks generic, and in a world flooded with AI content, that sameness is what actually costs you attention. ⚡ The technical upgrades back that up. Canva says it has cut code generation time by 75% and the median time from prompt to published site by 30%. You can now start a Canva Code project right inside another design, as a page, in a whiteboard or a deck, import HTML from other AI tools, and pick from more than 50 new templates before dragging in assets from Canva's 120-million-item library. 🌍 When it's time to ship, you can buy a custom domain inside Canva, publish to a free domain, or lock things down for a team with single sign-on. Since Canva Code first launched a year ago, the community has already built more than six million sites, from classroom hubs to real estate listings. Why it matters: for creators, small businesses and educators, this lowers the barrier to shipping a working landing page, quiz or calculator without hiring a developer. But it's worth being precise about the boundaries here too: Wu himself admitted Canva Code is "probably not going to be suitable" for sites with complex backends or hundreds of thousands of daily visitors, and there's currently no e-commerce support built in. What strikes me most isn't the speed numbers, it's the honesty. Admitting what a product can't do is rare in AI marketing, and it actually makes it easier to decide whether Canva Code is the right tool for a quick prototype versus a real Lovable or Replit build. Whether "making the output look good" is enough to hold its own against dedicated vibe-coding platforms racing toward serious revenue is the real test still ahead. 📱 Want AI updates on WhatsApp? DM me "AI" and I'll send you access. 🔔 Follow me for the last AI updates! #AInews #CanvaCode #VibeCoding #AITools #NoCode
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@DrilonAjdinii ·
It's interesting how the perception of no-code has flipped. Back then if you couldn't write production-level code you were basically invisible in tech. Now somehow every founder using AI tools is "not really building" and it's not humanly possible to ship fast without it being considered cheating LOL
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@piyush784066 ·
10 No Code Tools That Let You Build Without a Developer 1. https://t.co/uFoIrhUztN — Builds fully functional web apps with complex logic without any coding 2. Webflow — Designs and launches professional websites with CMS without touching code 3. Glide — Turns any spreadsheet into a polished mobile app in minutes for free 4. Softr — Builds client portals member sites and internal tools from Airtable for free 5. Adalo — Creates native mobile apps with real functionality without any coding at all
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@anulagarwal ·
i uninstalled all IDEs/code editors from my system earlier this year. not because i became a better developer. because the models and agentic coding tools became too good i don’t really read the code anymore -> i just prompt, wait, test, complain, iterate. this works for almost any digital product you want to build: apps, games, websites, tools. in most cases, i create a base template with 75% of the features already built, so i don’t have to prompt and test the same things again and again. the funny part is, i used to think coding was the hard part. now the hard part is explaining exactly what i want without sounding like a client from hell. sometimes, you are not the developer anymore. you are just the QA intern for a very confident robot.
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@_vmlops ·
A NON-DEVELOPER JUST SHIPPED 70K LINES IN 30 DAYS Here's what he learned: ▫️ start with a PRD...AI executes your mess faster, it doesn't fix it ▫️ new session per new thing...plan smart, build cheap ▫️ UI first, backend second ▫️ tests from day one... regressions will wreck you ▫️ git from line one..he started at 16k & regretted it ▫️ two models > one... the original author always misses things ▫️ security basics before you build, not after you don't need to be a developer to ship real things you need to be organised, patient & paranoid in the right places https://t.co/AUYbwAtXgD
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@constellationr ·
Innovation doesn’t always start with IT. Explore the ShortList for Citizen Developer Low-Code Platforms by @holgermu to see which tools are enabling teams to build and automate faster: https://t.co/GFcujJrfR4 @airtable @bubble @ClarisOfficial @Creatio_Global @make_hq @glideapps @google @IFTTT @MSPowerApps @NinoxDB @retool @Quickbase @kissflow @Salesforce
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@rfradin ·
"In 2026, every employee will be a developer." That’s the marketing pitch for the no-code revolution. To me, it sounds like an operational risk. If you have 5,000 employees and they all start building their own autonomous agents to solve their own problems, you don't get digital transformation. You get a digital junk drawer. Here is what that looks like in practice: - Ten different employees building ten slightly different agents to process the same invoice. - Zero documentation on how any of them work. - No ability to take a win from one department and scale it to the enterprise. The problem isn't the intent; employees are trying to be productive. The problem is the redundancy. Without visibility, everyone builds from scratch because they don't know a solution already exists, or is under construction. We are moving from a phase of creation to a phase of curation.
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@ZvonimirSabljic ·
People don't want to write code with AI help. They want AI to do the work. Users would describe what they wanted — "build me a project management tool with Kanban boards" — and Pythagora would generate it. They'd ship it without opening the test suite, without touching the generated code. They just wanted the finished product. Most AI coding tools are still built around making people faster developers. We stopped building that and started building something where you describe the job and AI handles it. No code, no code review, no terminal.
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@_vmlops ·
OPENAI JUST SHIPPED SITES IN CODEX turn any idea into a deployed app in minutes, from a conversation → no infra setup → no deployment code → auth, storage + db out of the box → share with your team via chatgpt login the use cases they showed: → account lens (pre-meeting intel for execs) → event summit prep hub → compass memo (investment proposals) and you can keep refining through chat no context switching, no engineers needed from trusted context to a working app your whole team can open this is what "agentic workspace" actually looks like in production
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@edmundtian ·
I haven't coded in over 3 years. Last week I downloaded Claude Code and holy shit this is literally 20x easier than it was in 2022. You tell Claude Code what you want to build and it will 1. design the system architecture 2. write the code 3. run it to make sure it works 4. if not, repeat from step 1 until it does Ppl used to call it your own personal junior dev. But now it's more like your personal army of TECH LEADS. The technical barrier to building software is now zero. Everyone should be tinkering with this today. Especially ppl like creators who have the marketing side down. 🎒 Here's your vibe-coding starter pack: Vercel = one-click deploy. Supabase = auth + database in minutes. Stripe = handle payments and subscriptions. Claude Code = writes code, runs it, debugs it, fixes it.
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