We review AI coding tools so you don't have to.
Claude Code vs Cursor vs Copilot vs Windsurf — honest, side-by-side comparisons.
https://t.co/fzjmvlkN9z
What actually makes a coding tool 'agentic' vs just autocomplete with a chat window?
We tested every tool that claims autonomy. Three patterns separate the real agents from the pretenders...
Your agent doesn't need more tokens.
It needs:
• A clean README
• Working tests on main
• One command to run everything
Fix the repo, not the prompt.
#AIcoding
The Model Context Protocol is quietly becoming the standard way to give AI agents external capabilities.
GitHub, Sentry, Notion, Postgres — all speaking the same protocol.
This is what interop looks like.
#MCP#AIcoding
Everyone wants to run AI coding models locally, but which ones actually work?
We benchmarked 7 local LLMs on real tasks. Qwen3-Coder-Next won, but the #2 result surprised us...
Real talk: the best use of AI coding isn't writing greenfield apps.
It's maintaining the boring legacy stuff that pays the bills while humans work on the hard problems.
#AIcoding
Stop asking your AI agent to remember your code style.
Write a .cursorrules or CLAUDE.md once. The agent follows it forever.
Instructions in files > instructions in chat.
#AIcoding
Claude Code hooks are how you make rules stick: auto-format, block dangerous commands, run tests, ping Slack.
No hoping the agent remembers. Just deterministic guardrails that fire every time...
The difference between a good AI agent and a great one:
Good: follows your prompts
Great: follows your repo's rules even when you forget to say them
Hooks + instructions files make the difference.
#AIcoding
MCP servers turn Claude Code from a good terminal agent into one that can read your GitHub issues, drive a real browser, and query your database.
We tested 20+ servers. These 8 are the only ones that stayed installed...
Quick test of whether you actually understand AI coding:
Can you tell when the model is confidently wrong?
If not, you're just a copy-paste machine with extra steps.
#AIcoding
The future of coding interviews:
"Here's a codebase. Here's a bug. You have an AI agent and 30 minutes."
Directing AI > writing loops by hand.
#AIcoding
MCP servers for coding are criminally underused.
Your AI can read:
• Your Jira tickets
• Your DB schema
• Your API logs
Real context beats clever prompting every time.
#MCP#AIcoding
Every 'agentic' tool promises full autonomy.
We tested what happens when you actually walk away for an hour.
Some agents finish the feature. Others delete your database.
The 2026 rankings...
The AI coding tools that will win long-term:
• Integrate with your actual workflow
• Don't force you to switch editors
• Let you stay offline when needed
• Cost a flat rate, not per-token
Everything else is VC-funded theater.
#DevTools
If your repo doesn't have a CLAUDE.md or .cursorrules file, you're wasting 30% of your AI tool's potential.
Tell it your conventions once. Every session follows them.
Prompting every time is amateur hour.
#AIcoding