50 Best Tweets About AI Coding (2026)

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Alex Finn

@AlexFinn · May 5, 2026

All-time 1.5K View on X

The biggest advancement in AI coding this year has been /goal And it isn't even close It allows your AI agent to quite literally work for days without stopping. You give a mission. It works until the mission is complete Here's the thing though: /goal is useless if you don't … Read more

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Priyanka Vergadia

@pvergadia · Mar 19, 2026

All-time 763.8 View on X

JUST DROPPED: Anthropic's research proves AI coding tools are secretly making developers worse. "AI use impairs conceptual understanding, code reading, and debugging without delivering significant efficiency gains." -- That's the paper's actual conclusion. 17% score drop … Read more

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Big Brain AI

@realBigBrainAI · Jun 1, 2026

All-time 644.2 View on X

Marc Andreessen explains how AI turned the valley's best programmers into sleep-deprived "vampires": Marc points out a counterintuitive twist in what AI coding has done to developers. You'd expect one of two outcomes, he says. Either coders would leave the profession entirely … Read more

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Inference Labs

@inference_labs · Jul 23, 2026

All-time 260.0 View on X

1/ AI coding agents are speeding up software work, but every extra pull request also creates a new audit problem. Who made the change, which model produced it, what context was used, and how do teams review the output later?

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Alex Finn

@AlexFinn · Jun 9, 2026

All-time 259.2 View on X

Everyone on X talking about building AI coding loops I think for 99% of people it's horrible advice. Mostly being promoted by people who profit off token burn Unless you are deeply technical, you are going to build flimsy apps and burn outrageous amounts of money Engineering a … Read more

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Rohan Paul

@rohanpaul_ai · Mar 17, 2026

All-time 223.2 View on X

Anthropic's own study proves Vibe-Coding and AI coding assistants harm skill building. "AI use impairs conceptual understanding, code reading, and debugging abilities, without delivering significant efficiency gains on average" Developers learning 1 new Python library scored … Read more

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John Crickett

@johncrickett · Jun 3, 2026

All-time 169.7 View on X

“Software engineers who don’t know how to use AI coding agents will fall behind.” No. AI coding agents are not the hard part of building software. They’re a simple tool. You can learn to use them in a few days. The hard part is knowing what to ask for. Knowing whether the … Read more

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Akshay 🚀

@akshay_pachaar · May 22, 2026

All-time 164.2 View on X

Microsoft built a Fitbit for AI. they just open-sourced AI Engineer Coach. a VS Code extension (also works in Cursor and Antigravity) that analyzes how you actually use AI coding agents. it reads local session logs from GitHub Copilot, Claude Code, Codex CLI, OpenCode, and … Read more

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Hedgie

@HedgieMarkets · Jul 21, 2026

All-time 138.1 View on X

🦔An NBER study by MIT and Wharton researchers tracked 100,000 GitHub developers before and after adopting AI coding tools. Autonomous agents produced 17x more lines of code. But by the time that work went through review and release, the uplift shrank to 30%. When they checked … Read more

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ℏεsam

@Hesamation · Jan 23, 2026

All-time 114.3 View on X

this is 80% of all you need to know about AI coding. the rest is useful only if you follow these principles, which top engineers practiced even *before* AI. these are 8 fundamental tips on aimaxxing: > learn how to program first. AI is a multiplier of what you already know. > be … Read more

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Santiago

@svpino · Jan 19, 2026

All-time 99.0 View on X

68% of developers say they spend more time debugging AI code than writing new code. (According to a survey of 500 software engineering leaders and practitioners.) AI coding assistants help us write code faster, but they increase the amount of insecure and broken code we ship.

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Ethan Mollick

@emollick · Jun 2, 2026

All-time 89.6 View on X

Big paper on AI coding agents using Github & other data The auto-complete tools (Copilot) led to 2.2x more code, local agents like original Claude Code led to 7.4x, & current remote coding agents 17.3x(!) But human bottlenecks in coding means actual releases "only" … Read more

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Vivo

@vivoplt · Jun 13, 2026

All-time 44.1 View on X

Most AI coding tools still work like this: They write the code. Then you debug it. Then you test it. Then you fix it. If humans still have to verify everything, that’s not autonomy. That’s autocomplete with confidence.

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XO

@Trader_XO · Feb 19, 2026

All-time 42.8 View on X

I’ve been in the AI trenches for a few months now, and it’s never been more evident as to why clean code still matters, just as it did prior to agentic coding. Eg when I’ve set up a project the way any seasoned senior engineer would, with clear structure, solid conventions and … Read more

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Priyanka Vergadia

@pvergadia · Apr 18, 2026

All-time 35.6 View on X

🟥WARNING: Vibe coding without a Lead Architect prompt is throwing away 80% of your results. How do you vibe code like a senior engineer? Here's what a structured AI prompt actually gives you: → Enforced separation of concerns across every file it writes → Named directories, … Read more

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aditya

@adxtyahq · Jul 16, 2026

All-time 30.6 View on X

"design Claude Code from scratch" apparently this was asked in an Anthropic interview round. came across it somewhere on the internet and honestly it's a much more interesting AI systems problem than most classic distributed systems questions 1. understand the repository - … Read more

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Vaishnavi

@_vmlops · Apr 15, 2026

All-time 29.4 View on X

Addy Osmani from Google just dropped “Agent Skills” GitHub: https://t.co/gemMCXDNEB⁠ AI coding agents are fast… but they cut corners no specs...weak testing...no real review they optimize for “done” not “correct” this repo fixes that it gives AI agents 19 engineering skills … Read more

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Dr Milan Milanović

@milan_milanovic · Apr 6, 2026

All-time 28.7 View on X

𝗗𝗼𝗲𝘀 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗖𝗼𝗱𝗶𝗻𝗴 𝗧𝗿𝗮𝗱𝗲 𝗦𝗽𝗲𝗲𝗱 𝗳𝗼𝗿 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗗𝗲𝗯𝘁? Developers report 10x productivity gains from AI coding agents, yet a Carnegie Mellon study of 806 open-source GitHub repositories found something different. Researchers compared Cursor-adopting projects against 1,380 … Read more

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Sospeter Mong'are

@msnmongare · Jul 28, 2026

All-time 25.2 View on X

Someone reached out to me recently "Bro, niaje. My payments on the system are showing duplicates whenever someone pays successfully" Then came the follow-up: "Someone on TikTok, a popular developer vibe-coded my app. I know he's your friend." That conversation got me … Read more

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Antoine Rousseaux

@AntoineRSX · Apr 27, 2026

All-time 22.9 View on X

A chinese lab just open-sourced an AI that builds video games from one prompt. It's actually not a toy. Building a playable game is the hardest test for a coding agent. Every file has to stay wired to every other file. Cursor, lovable, claude code all weaken there. If this … Read more

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Layton Gott

@Layton_Gott · Jun 1, 2026

All-time 21.3 View on X

My AI coding journey: 1st project: 0 PRs 2nd project: 0 PRs 3rd project: 0 PRs 4th project: 0 PRs Current project: 428 PRs (not even halfway done) You eventually hit a point where you realize how much better AI code gets once you learn to structure it.

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staysaasy

@staysaasy · May 29, 2026

All-time 21.1 View on X

The dumbest reason that AI coding is so addictive: once you agents are unleashed in a non-trivial codebase, you lose track of where the logic lives even if you could still technically code it yourself. Every day is like your first day in a new codebase.

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Larsen Cundric

@larsencc · Apr 11, 2026

All-time 12.7 View on X

Linux kernel now has official AI assistance guidelines. Torvalds' team documented how to use AI coding assistants responsibly for kernel contributions. If the most conservative codebase on earth embraces AI tooling, the debate is over. AI coding is infrastructure now.

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Layton Gott

@Layton_Gott · Jun 16, 2026

All-time 12.7 View on X

9 things I've learned about AI coding that took me way too long to figure out: 1. AI will cheat on its own tests. It'll hardcode the answer or mock the exact function it's supposed to be testing so everything passes. Green checkmarks that prove nothing. Read the tests, not just … Read more

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Ankur Goyal

@ankrgyl · Apr 12, 2026

All-time 10.5 View on X

there are 3 stages to ai coding: 1. i don’t trust the ai. let me write most of the code and ask it questions 2. wow i don’t need to write code anymore! let the ai write everything 3. oh wait, i just got a huge pile of slop. let me find the right balance…

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Suryansh Tiwari

@Suryanshti777 · Jul 10, 2026

All-time 9.3 View on X

The hottest take in AI right now: the IDE is becoming the operating system for autonomous agents. Claude Code's new desktop launch isn't another coding assistant. It's an attempt to replace the entire developer workflow. One app now has: • Parallel AI coding sessions with Git … Read more

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Elizabeth Yin 💛

@dunkhippo33 · Mar 28, 2026

All-time 8.6 View on X

After months of building with AI coding tools, I've discovered the key challenge: separating rules from judgment. Traditional code follows rules exactly. AI agents? They do whatever they want - mine has even skipped scheduled tasks because it "thought I was sleeping." More … Read more

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Bilgin Ibryam

@bibryam · May 16, 2026

All-time 8.2 View on X

5 Patterns for AI Collaboration - @thoughtworks https://t.co/25xcj42pma tldr: The practices that make human pair programming effective: onboarding, structured design discussion, shared standards, apply equally to working with AI coding assistants.

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andrei saioc

@asaio87 · Apr 16, 2026

All-time 7.3 View on X

AI coding tools are amazing They write better code than most developers right now Sadly the coding part is at mest 10% of the work needed to build a production-grade app With AI or without it, the rest of 90% if not more, are the same

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Greg Ellis

@cubesol_greg · May 21, 2026

All-time 7.2 View on X

You’re all laughing and mocking “AI coders” while a new class of builders is quietly shipping circles around you. You don't want to believe it, but that doesn't mean it's not true! Most people using AI are doing this: “Build me a todo app.” Then acting shocked when the result … Read more

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John Crickett

@johncrickett · Jun 4, 2026

All-time 6.3 View on X

Tips for AI-Assisted software development: Avoid context clash to get cleaner code, faster iterations, and more reliable AI outputs. Context clash happens when you feed an AI coding agent conflicting context, unrelated code, mixed architectural patterns, or multiple objectives. … Read more

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smrati tiwari

@smratitiwa86867 · Jun 28, 2026

All-time 6.2 View on X

🚨 Every AI coder is making this mistake… and most don’t even realize it. Everyone is obsessed with the latest AI coding tools. New prompts. New agents. New workflows. But here's the uncomfortable truth: The biggest reason AI-generated code fails isn't the model. It's the … Read more

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aditya

@adxtyahq · Apr 17, 2026

All-time 5.6 View on X

AI coding agents are solving just 20-30% of real engineering tasks. MIT + Anthropic + SWE-Bench just exposed it. code generation isn’t the bottleneck anymore the gap is system-level understanding and that’s exactly where production breaks

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Augment Code

@augmentcode · Mar 26, 2026

All-time 5.6 View on X

Adobe Principal Engineer Lars @trieloff shares his top 3 tips for getting real results from AI coding agents. Use your actual codebase, pick the right model for the task, and know when to step in yourself

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Alex Kehr

@alexkehr · May 29, 2026

All-time 4.9 View on X

AI coding tools are great at turning individual intent into code but the biggest unsolved, and probably most lucrative, opportunity is collaborative software design a workflow where design and engineering can actually think together, make decisions together, and ship better … Read more

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smrati tiwari

@smratitiwa86867 · May 18, 2026

All-time 4.7 View on X

People are finally realizing something important: AI coding tools are not interchangeable anymore. One Reddit developer said Claude Code burned 40% of his usage, rewrote code twice, failed migrations, and still couldn’t find a basic env issue. Then Codex one-shotted the same … Read more

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Shruti Codes

@Shruti_0810 · Jul 15, 2026

All-time 4.5 View on X

Andrej Karpathy found a new problem with AI coding. The fix is surprisingly simple. He noticed LLMs keep making the same predictable mistakes: → Over-engineering simple solutions → Ignoring existing code patterns → Adding dependencies nobody asked for → Rewriting more than … Read more

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Xeleb Protocol

@xelebofficial · Apr 3, 2026

All-time 4.1 View on X

Autonomous does not mean unsupervised. Around 60% of development work now involves AI assistance, yet developers fully delegate only 0 to 20% of tasks. This is not a lack of trust. It is professional judgment applied correctly. In practice, work falls into three zones: 1. Safe … Read more

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Ran Aroussi

@aroussi · Mar 26, 2026

All-time 3.9 View on X

The hard problem in AI coding isn't code generation. Claude Code already solved that. It's decomposition. Planning. Verification. Simplification. PR management. Institutional memory. That's engineering management, not a smarter agent.

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Chappy Asel

@chappyasel · May 22, 2026

All-time 3.5 View on X

I watched a video this week that gave me the perfect term for something I’ve been feeling in myself and seeing in a lot of other people building with AI: Cognitive debt. Such a good phrase!! Technical debt is the obvious stuff. Legacy patterns, messy abstractions, tests that … Read more

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divyansh tiwari

@DivyanshT91162 · Jun 4, 2026

All-time 3.1 View on X

Most "AI coding agents" are just fancy autocomplete. Then you see a project like this. An open-source coding agent terminal that comes with: → LSP integration → DAP debugger support → Persistent Python & Bun kernels → Agent ↔ tool calling loops → Benchmark harness tested model … Read more

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Tristan Rhodes

@tristanbob · Jun 1, 2026

All-time 2.2 View on X

Agentic coding is one of the most transformative capabilities of AI. Every modern technology relies on software, so the ability to create it many times faster is going to have trickle-down effect, improving all other technologies.

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Tomasz Tunguz

@ttunguz · Aug 18, 2025

All-time 2.0 View on X

AI coding assistants like Cursor and Replit have rewritten the rules of software distribution almost overnight. But how do companies like these manage margins? Power users looking to manage as many agents as possible may find themselves at odds with their coding agent providers. … Read more

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DEV Community

@ThePracticalDev · May 3, 2026

All-time 1.9 View on X

AI coding agents still struggle with repo context, not syntax. Things like which test command to run, what naming conventions are used, or what tooling is configured. This dev built Agentskill to compile repository reality into agent-usable instructions. { author: @airscript } … Read more

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JustAnotherPM | Sid

@JustAnotherPM · May 7, 2026

All-time 1.8 View on X

Most people think AI coding agents make engineering easier. Unfortunately, that is not true. The real unlock is that they make junior engineering nearly impossible, and senior engineering exhausting. Without a decade of pattern matching, you cannot tell when an agent is … Read more

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Nathan Baschez

@nbaschez · Jul 26, 2026

All-time 1.7 View on X

When I first used AI coding agents, I accepted/rejected each individual line of code Then as AI got better, like most people, I just let the agent rip Now, I have the agent stop at logical checkpoints to tell me what it did, what it learned, and what's next

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Igor Stadnyk (🇺🇸,🇵🇹,🇺🇦)

@AIgorStadnyk · May 19, 2026

All-time 1.6 View on X

question I get 10 times a day: - which AI coding tool is better? wrong question. better question is: - can these tools work together? One AI doing everything is usually a mess. So I use them as a small team. This is how I do it👇

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Daniel Bernal

@afterxleep · Apr 15, 2026

All-time 0.66 View on X

Most 'AI coding tips' I read are just engineering tips from 2015 that nobody applied. Its always been about well-bounded code. Agents fail on the exact same shit people do. Again... The model is not really the problem.

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Howie Xu

@H0wie_Xu · Jun 10, 2025

All-time 0.34 View on X

🚀 Last Saturday I had the honor of giving an opening #keynote at the #Vibe #Coding Summit held at #AGI #House—a house where visionaries like @OpenAI cofounder @karpathy lived and @Google 's @JeffDean , and cofounder Sergey Brin have all left their mark. My own learning after … Read more

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Towards Data Science

@TDataScience · May 22, 2026

All-time 0.26 View on X

"In this article, I’ll be discussing my experience using OpenAI’s Codex for advanced coding tasks and other application areas, as well as some techniques that I use to enhance Codex’s performance." Don't miss @EivindKjos's practical introduction to AI "coding partner" Codex. … Read more