Tools, Stacks, and Setup Guides
Curated tool lists (Cursor, Lovable, Bolt, v0, Replit, Claude Code), recommended beginner stacks (NextJS + Supabase + Stripe + Vercel), and getting-started tutorials.
30%
Browse the best tweets about vibe coding, prompt-to-app workflows, rapid prototyping, launches, failures, and lessons from AI-assisted builders. Updated every two weeks.
Builders showing what they made, how they prompted it, what broke, and what it took to turn a prototype into a real product.
Original Xholic analysis
Across 50 posts from 46 creators on vibe coding, the dominant theme (30% of posts) is tooling and stack guides — Cursor, Lovable, Bolt, v0, Replit, Claude Code, and beginner stacks like NextJS + Supabase + Stripe + Vercel. The sharpest competing thread is skepticism about the prototype-to-production gap (26% hype-vs-reality, 14% prototype-to-production), while success stories and democratization claims account for 14%. Sentiment runs 56% positive vs 40% negative, and stance is 66% supportive vs 34% critical. Story-format posts dominate volume at 46%, but list-format posts perform far better by engagement (median all-time score 54.4 vs 14.5 for stories).
56% of posts
All-time engagement
46% of posts
Published in 90 days
Conversation map
Curated tool lists (Cursor, Lovable, Bolt, v0, Replit, Claude Code), recommended beginner stacks (NextJS + Supabase + Stripe + Vercel), and getting-started tutorials.
30%
Pushback on overpromising: 'one prompt from a million-dollar startup' illusions, vibe coding as gambling, false competence, no real enterprise adoption, and the honeymoon being over.
26%
Spec-first planning, context files, tiny feature-by-feature prompts, review loops, CodeRabbit-style checks, and treating agents as collaborators you verify rather than trust.
20%
Non-coders shipping real things: revenue wins, employees building internal tools, civic activism sites in hours, and life-changing leverage for people who never wrote code.
14%
Vibe coding works for demos and MVPs but breaks down at auth, security, payments, scale, debugging, and edge cases — the 'working app' vs. 'production-grade system' divide.
14%
What vibe coding can and can't build: CRUD apps, dashboards, and bots are fine; database engines, iOS past feature #5, and systems programming are the gap.
6%
Studies and opinions showing professionals never fully 'give into the vibes' — AI amplifies existing discipline, and outcomes diverge sharply by who is prompting.
4%
You can build without being a 'real dev,' but you still need basics: env vars, git, package management, terminal errors, reading docs, and knowing just enough to ship.
2%
Tone and stance
Performance benchmark
Posts with media make up 18% of this collection. Their median all-time score is 28.5, compared with 26.3 for text-only posts.
Format mix
Consensus and debate
Shared view
Posts across multiple authors converge on the same breakdown point: vibe-coded apps work until auth, security, payments, workflow logic, scale, and debugging enter the picture. This appears in 2030937856798265448, 2040663472887976145, 2037394653415092555, 2042227349635092529, 2040013389179633873, and 2013936722699075792 — including from otherwise supportive voices (e.g., 2036909734423650625 praises prototyping for PM
Shared view
A recurring formulation: AI accelerates whatever structure the builder already has — 'with structure, it accelerates the build; without structure, it accelerates chaos' (2033544363557437472), 'it amplified the gap between people who understand systems and people who don't' (2040013389179633873). Fernando makes the same point about experienced devs vs non-programmers (2028524693293031773).
Shared view
Even vibe coding's advocates agree basics are non-negotiable: env vars, git, package.json, reading terminal errors, and reading docs. Alex Nguyen's 'you don't need to be a real dev, you just need to know just enough to ship' post is the clearest articulation and one of the highest-engagement posts in the dataset (2009524774960275627).
Shared view
Multiple builders describe workflows that keep AI speed but add verification: kickstarting in Lovable/Bolt/v0 then reviewing with CodeRabbit (1955960818576843260), spec-first planning (2033544363557437472, 2054996712784318859), and treating agents as collaborators whose output you check against tests (2106738609055232481).
Open debate
Success-story posts report real outcomes — Modest Mitkus reports a vibe-coded app hitting $1,000 in a single day three months after learning to build (2033894903026172340), and Anubhav retells a civic-activism site built in 2 hours that allegedly forced a government ministry to act within 72 (2058503376652890154). Skeptics counter that vibe coding manufactures overconfidence: Santiago describes meeting a self-styled'
Open debate
Rahul (themishra4402) draws a hard line: Chrome extensions, dashboards, CRUD apps, MVPs, and bots are vibe-codable; database engines, programming languages, and distributed systems runtimes are not (2103467405037228440). Aditi notes a related pattern — everyone ends up building web apps, nobody's vibe coding Android or iOS apps (2059154953114193949), while Rouzbeh claims iOS specifically breaks down around feature #5
Open debate
The single most divisive strand is small but high-performing: Guri Singh's post summarizing a claimed UC San Diego field study states that zero of the observed experienced developers 'fully gave in to the vibes' (2046908145667359167). This aligns directionally with Fernando's opinion (2028524693293031773), but the study claim is asserted within the post itself and is not independently corroborated anywhere in this
What performs
Median engagement across the 50 posts: 74 likes, 5,251 views, 27 replies, 7 reposts, and a median all-time score of 27.38.
The top outlier by a wide margin is the 'ideas guys discover their ideas kinda sucked' post at 4,973.95 all-time score — 181.66x the median (2076733368256090581). The next four are the skill-floor checklist (2009524774960275627, 41.5x), the Google AI Studio announcement (2034347641740337653, 23.32x), the 'easy until auth/payments' post (2030937856798265448, 19.3x), and the claimed UC San Diego study summary (2046908
Story posts are the most common format (46%, 23 posts) but have the lowest median all-time score of the four formats (14.51). List posts (26%, 13 posts) more than double that at 54.38, and predictions (16%) and announcements (12%) sit between at 33.11 and 32.65.
The skill-floor theme has only 1 post but the highest median all-time score of any theme (1136.35), and expert-vs-novice has 2 posts at a median of 232.19. By contrast, the democratization/success-stories theme (7 posts) has the lowest theme median at 11.45, and the prototype-to-production gap theme (7 posts) sits at 12.76. Skepticism-themed content (hype vs. reality, median 52.08) outperforms tooling guides (median
Only 18% of posts carry media, with a modest engagement edge (media median 28.46 vs text 26.29). The dataset skews older: median post age is 211 days, only 7 posts (14%) were published within 90 days, and the newest post is dated 2026-10-13.
Statistical standouts
Creator landscape
The five most represented creators account for 18% of the selected posts.
1. Alex Nguyen
@alexcooldev
2 posts
2. Layton Gott
@Layton_Gott
2 posts
3. Viktor Seraleev
@seraleev
2 posts
4. Sergio Pereira
@SergioRocks
2 posts
5. Vaishnavi
@_vmlops
1 post
6. Sush
@2sush
1 post
50 posts come from 46 distinct creators; the top five voices account for only 18% of placements, so no single account dominates the conversation.
Two posts — the skill-floor checklist (2009524774960275627, 41.5x the median) and the MVP workflow guide (1955960818576843260) — give alexcooldev a creator median all-time score of 595.37, the highest among multi-post creators in this set.
AlexFinn's beginner stack post (1986612006464725217) puts their median at 299.34. Sergio Pereira (SergioRocks) contributes two complementary posts on the spec-first workflow and why vibe coding builds demos rather than products (2033544363557437472, 2042227349635092529). Layton Gott and Viktor Seraleev each post twice, both leaning critical — sloppy output is a builder problem, not a method problem (2049164122864939
Since the previous snapshot
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 Vibe Coding tweets
Ranked 01–50
@alexcooldev ·
Every vibe coder should understand: The basics (non-negotiable): - .env (what goes in, what should never be pushed) - npm run dev (local development) - package.json (scripts, deps, versions) - npm run build (what actually ships) - npm packages (install, remove, update) - git add .env (never do this 💀) - http://localhost:3000 is not a real URL - environment variables ≠ hardcoded values - errors in terminal matter (don’t ignore them) Nice-to-have (but will save you days): - npm i --legacy-peer-deps (when deps fight each other) - .gitignore (what should never be tracked) - basic git commands (clone, pull, commit, push) - DB schemas / SQL (if your app touches data) - auth basics (users, sessions, tokens) - common dev jargon: divs, components, modals, cards, etc. - reading docs instead of guessing - knowing when to ask AI better questions You don’t need to be a “real dev.” You just need to know just enough to ship. Happy vibe coding.
@OfficialLoganK ·
Tomorrow we will unveil the all new vibe coding experience in @GoogleAIStudio, the team has spent 4 months rebuilding it all from scratch and smoothing out rough edges to help everyone bring their ideas to life. This is a big step forward, but just the start : )
@aryanlabde ·
Vibe coding a product is so easy. Until you’re hit with: - auth - security - workflow logic - context windows - confirmation emails - payment integration That’s where you wish you knew how to code.
@heygurisingh ·
Vibe coders are not going to like this. UC San Diego just published the first real field study of experienced developers using AI agents. They watched 13 of them code in the wild and surveyed 99 more. Zero of them vibe coded. Not one developer "fully gave in to the vibes." Not one trusted the agent to ship. The researchers found the opposite of what every Cursor demo on your timeline implies. Experienced devs plan before they prompt. They load the agent with heavy context. They verify every diff and refuse to merge code they haven't actually read. "Flow and joy" coding, the whole Karpathy vibe coding pitch, got quietly rejected by every professional in the study. They said it's fine for throwaway prototypes. Not for anything that ships. The devs still liked using agents. They just don't let the agent drive. Turns out the people who've shipped software for a decade know something the vibe coding influencers don't. Huang et al., UC San Diego. December 2025. Paper in comments.

@themishra4402 ·
vibe coders can build Chrome extensions Dashboards CRUD apps Internal tools MVPs Automation scripts Discord / Telegram bots nobody is vibe coding a database engine a programming language a browser engine a networking stack a hypervisor a distributed systems runtime That’s the gap.
@AlexFinn ·
Here's the best tech stack for vibe coding your first app Each are easy to use and have a free tier If you've never built an app before, take this list, give it to your AI of choice and you'll be set: Web framework: NextJS Database: Supabase Authentication: Clerk Payments: Stripe Styling: Tailwind 3D assets: ThreeJS AI API: logic- Tough tasks: GPT5, cheap tasks Claude Haiku Emails: Resend AI app I use to build it all: Claude Code Copy and paste that stack into an AI, give it an idea for an app (or ask it to brainstorm ideas for you) then say start building. You'll get V1 of your app 0 technical experience needed for this Any questions let me know!
@ModestMitkus ·
My vibe-coded app just hit $1,000 in a single day. Three months ago, I didn't know how to build an iOS app. I still barely do. People joke about vibe coding, saying that it writes slop code (as if junior-mid code is any better). Many people miss the point that some actually take it seriously and achieve pretty nice results. I didn't have technical skills, but I always wanted to build things. Not some random Notion templates as I did before (and still reached $30k/month xD), but real functional products written in code. Vibe coding literally gave me a cheat code that I can use in real life. I can turn all my ideas into functional products and make money from them. It literally changed my life and now I can't stop. For some AI is here to take their jobs, for some it's life changing opportunity and massive leverage.

@ujjwalscript ·
The “Vibe Coding” honeymoon is officially OVER. For a while, it felt magical. Prompt in, product out. No deep context, no architecture, no trade-offs. Just vibes. But reality is catching up: • Systems still need to scale • Edge cases still exist • Debugging still hurts • And someone still has to own the code AI didn’t replace engineering, it amplified the gap between people who understand systems and people who don’t. “Vibe coding” is great for getting started. But shipping real, reliable software? That still requires thinking. The engineers who win won’t be the ones who vibe the fastest - they’ll be the ones who understand what the vibe produced.
@svpino ·
Last year, I met a person who has never written a single line of code in his life, yet he feels he can build anything he wants. He told me point-blank: "I challenge you to tell me something I can't build using AI." I tried to explain, but I couldn't find the right words. The most fascinating aspect of vibe-coding is how it has convinced so many people to believe they are better and more capable than they really are.
@trikcode ·
Vibe coding creates a dangerous illusion: You think you built it. You think you understand it. You push to production. Your users find the bugs you never could. Because you can't debug what you didn't write.
@Hartdrawss ·
VIBE CODING skill levels ( 1 - 30 ) level 1: opened cursor for the first time level 2: asked AI to explain what a component is level 3: copy-pasted code without knowing what it does level 4: fixed a bug by prompting instead of reading docs level 5: built your first landing page with AI level 6: shipped something small that actually works level 7: your app has a real URL people can visit level 8: someone used your app who isn't you level 9: built an MVP in under a day level 10: you have a claude.md file doing the heavy thinking level 11: your cursor rules are tighter than most devs' architecture level 12: you stopped calling yourself "non-technical" level 13: you rebuilt a $5k app in under 3 hours level 14: a client paid you to build with AI level 15: you closed a $3k+ deal as a solo builder level 16: you're shipping faster than teams of 5 level 17: your AI workflow is a system, not just vibes level 18: you've replaced a dev agency with just you and claude level 19: you have a repeatable build process for every project level 20: clients come back for more level 21: you're charging what agencies charge, solo level 22: you're closing $10k+ deals level 23: you teach other founders how to ship with AI level 24: you have a waitlist for your builds level 25: AI is your moat and you've stoped explaining it to people level 26: you're productizing your workflow into a course or tool level 27: your build process has become your content level 28: sponsors are paying you to talk about your stack level 29: you have inbound you can't keep up with level 30: vibe coding isn't a skill anymore, it's your identity 1 to 15 → you're learning to build 15 to 30 → the build is building you what level are you at?
@vivoplt ·
Vibe-coding tools you should know about • claudeai - AI for coding + debugging • cursor_ai - AI code editor • Replit - cloud coding + instant deployment (mobile app) • vercel - hosting • github - AI coding assistant • NanoBanana - Image generation • midjourney - More image options beyond NanoBanana • rainbowdotme - Web3 wallet connections • RevenueCat - For subscriptions • Lovable - AI app and website builder • rork - For mobile apps • Dribbble - For design discovery • v0 - UI component generator • zeddotdev - Fast collaborative editor • zencoderai - AI coding agent platform • codeium - Free AI autocomplete • tabnine - AI code completion • supabase - Backend/database • ChatGPTapp - General AI assistant • AskAider - Terminal-based AI pair programmer • boltdotnew - Prompt-to-app generator
@BoringBiz_ ·
For all the hype around vibe coding this year, I personally don't know a single person or business that actually cancelled a software subscription to pivot towards an internally built vibe coded tool Vibe coding seems to be one of those things that look great on paper but falls apart when you actually try to build and implement it in the real world Sure, maybe some engineers are using agents to speed up the rate at which they write and review code. But a 100% vibe-coded tool is simply not that useful or valuable
@alexcooldev ·
Build your MVP with vibe coding, without vibe bug fixing: 1. Use AI builders (Lovable, Bolt New, V0) to kickstart 2. Export the code 3. Keep building in Cursor, Windsurf, or Claude Code 4. Review & improve with CodeRabbit AI Ship in days, not months.

@GohilHardy ·
Vibe coding has created a new type of founder: Can build the entire product. Can't explain why it breaks. Can't fix it when AI gets stuck. Can't afford a developer to rescue them.
@DAIEvolutionHub ·
Self-Taught Vibe Coding: Just Check Out These Three Open-Source Projects, No Need to Buy Courses A lot of AI Coding course materials come from here, and the original versions are actually more systematic 1. Easy-Vibe A systematic tutorial produced by DataWhale, with 5k stars. Divided into three stages: starting with an intro to AI programming mini-games, then product ideas + Web prototypes, and finally desktop apps and multi-Agent collaboration. Beginner-friendly, mainly in Chinese https://t.co/j02Nvaiu9k 2. vibe-coding-cn The Chinese translation version of the original EnzeD/vibe-coding, with 11k stars. Three main sections: Prompt tips, Skill library, Workflow. Emphasizes planning first, modular breakdown, interfaces upfront—turning vibe coding from casual improvisation into repeatable engineering https://t.co/w6005aPekW 3. awesome-vibe-coding The most comprehensive Vibe Coding resources awesome list, with 4k stars. Covers browser tools, IDEs, mobile apps, plugins, CLI tools. A master directory of all mainstream vibe coding tools https://t.co/azoZhLgkvG Read through these three first, and you'll gain a whole new understanding of AI Coding


@meta_alchemist ·
if you wanna master vibe coding, watch this! my first YouTube video after 11000+ commits The 5 Levels of Vibe Coding & What You Will Achieve With True Mastery The Vibe Coding Lab intro - 0:00 Why I got into vibe coding - 3:11 What master vibe coders achieve - 6:00 Level 1: Prompt & Prayer - 9:05 Level 2: The Structured Builder - 10:15 Level 3: The Architect - 16:31 Level 4: The Operator - 22:18 Level 5: The Orchestrator - 29:23 Full breakdown 👇 https://t.co/4tY6LFO8VQ
@CodeEdison ·
Vibe-coding tools you should know about • @claudeai - AI for coding + debugging • @cursor_ai - AI code editor • @Replit - cloud coding + instant deployment (mobile app) • @vercel - hosting • @github - AI coding assistant • @NanoBanana - Image generation • @midjourney - More image options beyond NanoBanana • @rainbowdotme - Web3 wallet connections • @RevenueCat - For subscriptions • @Lovable - AI app and website builder • @rork - For mobile apps • @Dribbble - For design discovery • @v0 - UI component generator • @zeddotdev - Fast collaborative editor • @zencoderai - AI coding agent platform • @codeium - Free AI autocomplete • @tabnine - AI code completion • @supabase - Backend/database • @ChatGPTapp - General AI assistant • @AskAider Terminal-based AI pair programmer • @boltdotnew - Prompt-to-app generator
@alexwtlf ·
Vibe coding is becoming the new gambling. Everyone thinks they’re building a profitable product. The excitement lasts 24 hours after launch. Then the addiction kicks in. You need to build the next one. And your users? They got tired and became vibe coders too
@lucas_builds ·
I build everything with AI agents, and I don't call it vibe coding. The agents write the code. I write the plan, set the architecture, and check every claim against the tests and the running app. Is vibe coding still the right word for how you build?
@2sush ·
Vibe coding is fun until production hits .Anyone can build an app with tools like Cursor, v0, Replit Agent. But shipping real products? Different game.More bugs. More security risks. More “why is this breaking?” AI helps but real engineering still wins.
@SergioRocks ·
Vibe coding builds demos. Specs builds products. Two development styles are emerging. One starts with prompts: - Open the AI tool - Describe the feature - Iterate until it works It’s fast. It feels magical. The other starts with a spec: - Define the system - Outline the architecture - Clarify product requirements Then let AI generate the code. Both move quickly at first. But as complexity grows, the difference shows. Because AI does one thing extremely well: - It amplifies whatever discipline already exists. With structure, it accelerates the build. Without structure, it accelerates chaos. AI didn’t remove the need for solid system architecture. It made it more important than ever.
@shushant_l ·
I'm shocked most people still spend months learning to code from scratch. Here's how to build real apps faster with the complete vibe coding playbook. --- 📂 Complete Vibe Coding Guide ┃ ┣ 📂 What Is Vibe Coding? ┃ ┣ 📂 Plain Language Prompts ┃ ┣ 📂 AI Coding Assistant ┃ ┣ 📂 Functional Code Output ┃ ┣ 📂 Conversational Development ┃ ┗ 📂 Debug Through AI ┃ ┣ 📂 Why It Matters ┃ ┣ 📂 AI Adoption Growth ┃ ┣ 📂 AI Generated Code ┃ ┣ 📂 Faster Development ┃ ┣ 📂 Higher Productivity ┃ ┗ 📂 Non Developer Friendly ┃ ┣ 📂 Vibe Coding Workflow ┃ ┣ 📂 Describe ┃ ┣ 📂 Generate ┃ ┣ 📂 Review ┃ ┣ 📂 Iterate ┃ ┗ 📂 Deploy ┃ ┣ 📂 Tool Selection ┃ ┣ 📂 Lovable ┃ ┣ 📂 Bolt .new ┃ ┣ 📂 Claude Code ┃ ┣ 📂 Cursor ┃ ┣ 📂 Windsurf ┃ ┣ 📂 Replit ┃ ┣ 📂 GitHub Copilot ┃ ┗ 📂 v0 .dev ┃ ┣ 📂 Coding Approaches ┃ ┣ 📂 Traditional Coding ┃ ┣ 📂 No Code ┃ ┣ 📂 Vibe Coding ┃ ┣ 📂 Strengths ┃ ┗ 📂 Limitations ┃ ┣ 📂 AI Tool Categories ┃ ┣ 📂 AI App Builders ┃ ┣ 📂 AI Coding Assistants ┃ ┣ 📂 Best Use Cases ┃ ┣ 📂 Feature Comparison ┃ ┗ 📂 Tool Selection ┃ ┣ 📂 Context Management ┃ ┣ 📂 Persistent Context ┃ ┣ 📂 Project Rules ┃ ┣ 📂 Documentation ┃ ┣ 📂 Memory Files ┃ ┗ 📂 Agent Instructions ┃ ┣ 📂 Prompting System ┃ ┣ 📂 Technical Context ┃ ┣ 📂 Functional Requirements ┃ ┣ 📂 Edge Cases ┃ ┣ 📂 Integration Details ┃ ┗ 📂 Clear Constraints ┃ ┣ 📂 Prompting Tips ┃ ┣ 📂 Plan Before Coding ┃ ┣ 📂 Reference Existing Patterns ┃ ┣ 📂 Request Tests ┃ ┣ 📂 Break Big Tasks ┃ ┗ 📂 Ask Follow Up Questions ┃ ┣ 📂 Security Checklist ┃ ┣ 📂 Review AI Code ┃ ┣ 📂 Validate Inputs ┃ ┣ 📂 Protect Secrets ┃ ┣ 📂 Check Authentication ┃ ┣ 📂 Scan Dependencies ┃ ┗ 📂 Test Before Production ┃ ┣ 📂 Common Mistakes ┃ ┣ 📂 Blindly Trusting AI ┃ ┣ 📂 Skipping Reviews ┃ ┣ 📂 Weak Prompts ┃ ┣ 📂 Shipping Without Testing ┃ ┗ 📂 Ignoring Security ┃ ┣ 📂 Anti Drift ┃ ┣ 📂 Keep Clear Context ┃ ┣ 📂 Break Tasks Down ┃ ┣ 📂 Plan Before Building ┃ ┣ 📂 Resume From Checkpoints ┃ ┗ 📂 Stay Consistent ┃ ┗ 📂 The Mindset Shift ┣ 📂 Think Like an Architect ┣ 📂 AI Writes the Code ┣ 📂 Better Prompts ┣ 📂 Better Systems ┗ 📂 Better Software

@zarazhangrui ·
So much of vibe coding is just “knowing what’s possible”. Most people severely underestimate what coding agents can do. How to build this mental model: - be chronically on X; see other people’s use cases and demos - get your hands dirty, tinker relentlessly, waste lots of tokens - approach it with a playful spirit of experimentation “I wonder what it would do if I tried X🧐”
@aditiitwt ·
why does every vibe coder somehow end up building web apps nobody’s vibe coding Android or iOS apps 😭
@Layton_Gott ·
Vibe coding DIDN’T ruin AI development… Bad developers DID. Most people never learned how to actually build with AI. So they generate random code and blame the method. This repo from Anthropic shows what real AI building looks like: → why your AI code keeps breaking (and how to fix it) → how to structure things so it doesn’t turn into chaos → how to turn one prompt into something that actually works Link in the comments ↓
@seraleev ·
Having taste is an expensive luxury. When vibe coding started taking off, I thought we’d see a flood of new products and shrinking app revenues. Then I started seeing the products most vibe coders actually build. Now I sleep much better. The more vibe coding spreads, the more it proves that shipping code is only part of the game. Taste, product vision, and knowing what not to build still matter.
@Layton_Gott ·
"Vibe coding" was SUPPOSED to be an insult. Yet it's becoming the most valuable skill in software... But only if you can actually do it well. Most vibe coders are shipping garbage. Half-tested features, made up APIs, and code that breaks the second a real user touches it. Learn to do it well or stop calling yourself a builder.
@Franc0Fernand0 ·
I think vibe coding is great for experienced developers. It’s a way to turn out a lot of good code very quickly. An experienced developer can learn how to write prompts that get the job done and reduce the chance of mistakes. After that, they can carefully look over the code and change it if needed. It’s a tremendous productivity boost. But when a non-programmer uses AI to write code, it’s not going to end well.
@DannyLimanseta ·
Whatever you can imagine, you can vibe code it. Imagination isn't talked about enough in the context of vibe coding. After vibe coding for a year now, I've realised that your imagination is the limiting factor when it comes to vibe coding (or building) anything. Whatever you can't imagine will not be built. Like all other skills, imagination is something that needs to be honed. 1. Imagination fidelity How clearly you can visualise a concept in your mind determines how well you can simulate your idea. Having high imagination fidelity means you can describe what you want more precisely, which means the AI can build it more accurately. 2. Imagination library Imagination is heavily reliant on what you've been exposed to. If you're building a game, you need to play lots of games. If you're building an app, you need to use lots of apps. Exposure is what fills your imagination library, and your library is what you draw from when you're running simulations. As AI models get more powerful, your imagination is going to be the differentiator in a sea of derivative ideas that will get vibe coded into existence. It's worth building and honing it.
@SergioRocks ·
Vibe coding feels like progress. Because something works. - You describe a feature - You click a few buttons - You tweak a prompt And suddenly you have a UI. An API endpoint. A working flow. It looks like a product. But what you built is the surface. Not the whole system. The hard part is everything underneath: - What rules define “correct”? - What happens when inputs don’t match expectations? - What state does the system rely on? - What breaks when usage scales? None of that shows up early. Because vibe coding optimizes for getting something visible. Not for making it reliable. It's great for demos and MVPs, but limited and risky for production software.
@VadimStrizheus ·
We need to define the term “vibe-coding”. Everyone throws it out there like it’s the new slang, and many people have different thoughts on it. When I hear vibe-coding I always think of a non-technical person using AI to build an app. In its origin “vibe-coding” came from Andrej Karpathy. He talked about a new trend coming of users fully giving into the vibes, embracing exponentials and forgetting that code exists by talking to AI and it codes on their behalf. But I still view “vibe-coding” as a phrase that allows a non-developer to use AI to build startups, softwares, and apps. Yes, vibe-coding can exponentially make a current developer faster at what they do, but it sides more with the newbies and beginners. I firmly believe that the highest skillset in 2026 will be “AI prompting”. If you can take a non-technical person who’s never touched a line of code and put them in front of a LLM, and they have the skillset of ai context and prompt engineering. They will become the most valuable assets for any company. They will be the visionaries and the LLM’s will be their full-stack dev team. We will start to see legit “vibe-coded” enterprise companies that raise $100M with the founders having no experience in coding at all. Now the question every has with vibe-coded softwares: You might think the biggest flaw with vibe-coding is security and infrastructure issues, which is partially right. But any founder even if they don’t have experience in coding, can go to an agency/tool that reviews and checks their entire database for them, reviews their lines of code, policies, etc. You can refine and polish your vibe-coded SaaS to perfection. The saying that “I won’t trust a vibe-coded SaaS”, is completely wrong. 2026 is the year of “vibe-coding”.
@enisco ·
📂 Vibe Coding ┃ ┣ 📂 Setup ┃ ┣ 📂 Open Cursor ┃ ┣ 📂 Open ChatGPT ┃ ┣ 📂 Coffee ┃ ┗ 📂 "Let's build something" ┃ ┣ 📂 Development ┃ ┣ 📂 Prompt ┃ ┣ 📂 Prompt Again ┃ ┣ 📂 Refine Prompt ┃ ┣ 📂 One More Prompt ┃ ┗ 📂 Copy Paste Code ┃ ┣ 📂 Debugging ┃ ┣ 📂 "This doesn't work" ┃ ┣ 📂 New Prompt ┃ ┣ 📂 Longer Prompt ┃ ┣ 📂 Even Longer Prompt ┃ ┗ 📂 Finally Works ┃ ┣ 📂 Commit ┃ ┣ 📂 "initial commit" ┃ ┣ 📂 "fix" ┃ ┣ 📂 "fix again" ┃ ┗ 📂 "actually works now" ┃ ┗ 📂 Result ┣ 📂 MVP Ready ┣ 📂 Demo Works ┣ 📂 Ship It ┗ 📂 Nobody Knows How It Works
@pvergadia ·
❤️🔥Hot take: Vibe coding is great. A PM, designer, or ER doctor building a prototype to show their vision? Incredible. Democratizing ideas is real. But a vibe-coded prototype ≠ a production system. AI can generate code. It can't replicate the experience gained by the scars of running something at scale.
@Hesamation ·
the problem with vibe coding isn’t the AI, it’s the gap between a “working” app and a production grade one. that means security, optimized performance, monitoring, and other system engineering skills that are not handled by AI automatically, unless you are aware of them.
@roxinft ·
Vibe coding has been a hot topic for a while now. If you’re still a bit clueless and wondering how to get started, this post is for you. Here are four things you need to start vibe coding: 1. An IDE (code editor) I prefer Cursor. You can explain what you want in plain English, and it helps you write or edit the code without breaking your flow. 2. A database You’ll need a place to store your data. Supabase is a great option and has a generous free tier. 3. Version control GitHub is where you store your code, track changes, and manage commits. 4. Frontend & deployment This is the UI — what users actually see on the screen. I prefer Vercel because it’s easy to use and very beginner-friendly. Voila you can now vibe code and create your first program :)

@sandislonjsak ·
Vibe coding: You describe the outcome or vibe in natural language, the AI generates the code (often the bulk of it) and you iterate by prompting symptoms rather than editing the source. Review is light or absent and the focus is speed and flow. AI-assisted software engineering: AI accelerates writing, debugging and refactoring, but the engineer owns architecture, reviews changes, understands the code and applies testing, security and maintainability standards. First is great for prototyping, second is great to speed up production level software delivery.
@seraleev ·
Calling vibe coding a profession is like calling Figma a job. It’s just a tool. The hard part was never the code. It’s always been what to build, how to package it and how to get users. You can vibe code an app in a day. You still need months to make it work.
@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
@Prathkum ·
I was on a weekly team sync today. Our SEO manager had some ideas to improve traffic, DR, and AI visibility. He started sharing his screen. I expected an Excel sheet or a Notion doc. Instead, he opened a vibe-coded landing page. Then walked us through multiple vibe-coded pages and content he wants us to turn into real webpages. Vibe coding has changed the game. Most of it may never go to production. But that’s not the point. Anyone can now turn their ideas into something real. And build custom solutions for their own problems without waiting on anyone.
@JustRouzbeh ·
Vibe coding an iOS app is great until about feature #5, when the AI-written code turns into spaghetti and every new change breaks two old things. That's the gap I built Spaceport to close. Two problems with vibe coding iOS specifically: the AI writes fast but has no structure to build on, and iOS has a ton of fiddly setup it fumbles (subscriptions, sign-in, App Store Connect, widgets, watch apps). Spaceport handles both: 1. It generates a solid, production-grade SwiftUI project. You name your app, it hands back a clean Xcode project with subscriptions, sign-in, onboarding, notifications, a home screen widget, and an Apple Watch app already wired up. 2. It bakes in a Swift Skills bundle written by some of the best SwiftUI educators in the world (CLAUDE.md, .cursorrules, skill files). Your AI agent reads them before writing a line, so the code stays clean and idiomatic as the app grows. The result: the structure of a senior iOS engineer, without being one. You vibe code on a foundation that doesn't collapse. You're exactly the people I built this for, so I'd genuinely love your take. Try it, break it, tell me what's missing. https://t.co/LHqj9C6Wd1
@victor_bigfield ·
what people think vibe coding is: building cool stuff with ai all day what vibe coding actually is: debugging at midnight why your agent looped 47 times and charged you $12 in api costs
@jsmasterypro ·
I’ve been experimenting with something I’m calling Practical Vibe Coding. The idea is simple. Vibe coding is powerful, but without direction it quickly becomes chaos. On the other hand, having giant master prompts, 5–10 markdown context files, and endlessly micromanaging AI agents also starts feeling less like building products and more like managing the AI itself. So I’ve been trying a middle ground with: - Single strong architectural context - Visual references - Tiny feature-by-feature prompts Modern models are already surprisingly good at understanding UI, visuals, app flow, and large context windows. Which makes me think the future may not be about creating more complex prompting systems. It may actually be better architecture, better constraints, and faster iteration loops. Basically, giving speed a direction. Been testing this while building a full AI-powered React Native app lately and it’s been working far better than I expected. Full video on it coming tomorrow on YouTube.
@DrewAustin ·
I am a bit late to the party but finally got some real vibe coding time in last night. What @AnthropicAI built for coding is mind blowing. It’s a 0 to 1 moment for tech. I’d love to hear success stories, products you have shipped to customers or ones you use daily yourself.
@_vmlops ·
This guy open-sourced a collection of popular apps you can build yourself using vibe coding
@z3vios ·
Vibe coding with an agent such as @Grok is not about writing perfect prompts on the first try. It’s about treating the model like a sharp collaborator who can hold the entire shape of what you’re trying to build while you stay in flow. Most people still talk to it like a search engine. “Write a function that does X.” That’s fine for small jobs. It is not vibe coding. Real vibe coding starts with the feeling of the thing. Describe the experience you want the code to create. The constraints that matter. The trade-offs you are willing to accept. The parts that must feel elegant versus the parts that can be rough for now. Then let Grok meet you at that level of abstraction. Iterate in conversation, not in isolated prompts. Keep the thread alive. Correct the direction, not every line. The code that comes out of that process usually has a coherence that pure syntax-level prompting never reaches. Because the model was solving for the same vibe you were holding. That is the shift. #VibeCoding #DevOps @NZSIS_RBLX @GCSBeCreative
@Anubhavhing ·
vibe coding gets clowned on constantly "it's just slop code" "no real engineer does this" meanwhile someone in greece built a site in 2 hours... and forced a government ministry to delete a page in 72. The code quality didn't matter the timing did and I really Liked when he said this. "Usually, setting up a site for this kind of civic stuff takes days of messing with boilerplate, layout tweaks, and deployment config. By the time you're done, the momentum is gone. Vibe coding meant I could just launch it instantly while the topic was still hot and catch them completely off guard." Basically AI assisted coding has helped so many people.

@ThePracticalDev ·
Vibe coding is to engineering what 3D printing is to making. The cost of bespoke tooling has collapsed, and this dev argues that spec-first vibe coding is how you build one-off tools properly. { author: @bianchiluca } https://t.co/OhHE9nfZXS
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