CodeNomad: The command center that puts AI coding on steroids.
Cline - AI Coding, Open Source and Uncompromised
Open-source AI coding agent with Plan/Act modes, MCP integration, and terminal-first workflows. Trusted by 5M+ developers worldwide.
Cursor: AI coding agent
Built to make you extraordinarily productive, Cursor is the best AI coding agent.
cmux - The terminal built for multitasking
Free and open source macOS terminal for AI coding agents. Works with Claude Code, Codex, OpenCode, Gemini CLI, Kiro, Aider, and any CLI tool.
AI Coding is Gambling
GambleAI I’ve been coding a lot with AI since November, when we all noticed it got really good. And it is quite good for instantly generating something th...
navikt/cplt
Sandbox for AI coding agents. Runs Copilot CLI, Claude Code, OpenCode, Gemini CLI, Antigravity, Pi, goose or a plain shell inside a kernel-level sandbox, with git and gh guards and sandbox policy committed to the repository.
maki - the efficient coder
An efficient AI coding agent. Native Rust TUI with novel context token reduction techniques: 2x cheaper and 2x faster in benchmarks.
AI Coding Agents: Adoption Trends - The JetBrains Blog
How many developers use AI coding agents (Claude Code, Codex, Cursor, JetBrains Junie, and others)? Evidence from the Developer Ecosystem Survey 2026.
Git AI - Track AI Code all the way to production
Cross-agent observability from prompt to production. Track AI-generated code from Cursor, Claude Code, GitHub Copilot, Gemini, and more through the entire SDLC.
AI Tools Directory - dealsbe.com
Find useful AI tools for content, code, design, research, and automation.
I guess I'm AI-pilled now?
As I've mentioned before, I have pretty mixed feelings on AI. Like many things in life, more than one thing can be true. I'm also going to throw a caveat here up front that most of my examples use GitHub Copilot. I work for GitHub so I…
AI vs human code gen report: AI code creates 1.7x more issues
We analyzed 470 open-source GitHub pull requests, using CodeRabbit’s structured issue taxonomy and found that AI generated code creates 1.7x more issues.
Who cleans up after the vibe-coding party?
Our obsession with AI code-writing tools is overwhelming the web’s unsung human caretakers
AI for coding works so well because code has a bunch of built in self checks that allow an agent trained with reinforcement learning to find what works and what doesn’t. This will not so easily translate to eg machine design until we have way better simulations or much more “embodied AI” (robots).
