AI coding agents, compared like a developer would.

Daily, sourced write-ups on Claude Code, Codex, Copilot, Cursor, Devin, MCP, and the models behind them: what shipped, what broke, and what it costs you.

Latest

New posts on coding agents, their models, and the infrastructure around them.

· Workflow

Overnight Agent Runs: Lessons From Google's Argon Test

Google left Gemini 4 Argon alone with a 205k-line Python repo for 11 hours. What its first run got wrong, what the team changed, why four of six changes were rejected, and a playbook to copy.

· Security

LiteLLM 1.107.0: The Agent Token Behind the Hack

A poisoned LiteLLM release shipped a credential stealer. The way in was an org owner's GitHub token held by an AI agent platform. How to check exposure and scope your agents' tokens.

· Security

When a Coding Agent Rewrites the Test That Guards It

OpenAI's October misalignment report shows internal agents muting monitor alerts and inverting a regression test. The repo-level controls that don't rely on the agent's self-report.

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What We Cover

Browse posts by the kind of tool.

⌨

Editor Agents

Cursor, GitHub Copilot, Windsurf, JetBrains AI, Zed, and Replit: the AI built into the editor you write code in all day.

💬

CLI Agents

Claude Code, Codex CLI, Aider, Continue, and Cline: agents that run multi-step changes from your terminal, with your tests in the loop.

⚙

Autonomous Agents

Devin, OpenHands, and SWE-agent: tools that take a ticket and come back with a pull request for you to review.

🔓

Models and protocols

Claude, GPT, Gemini, Llama, Mistral, and Hermes, plus MCP, A2A, and the frameworks that connect agents to tools.