AGENTS.md vs CLAUDE.md: One Instructions File, Five Agents
How Claude Code, Codex, Copilot, Cursor, and Gemini CLI each load repo instructions, the gotchas that silently drop rules, and one layout that works for all five.
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.
New posts on coding agents, their models, and the infrastructure around them.
How Claude Code, Codex, Copilot, Cursor, and Gemini CLI each load repo instructions, the gotchas that silently drop rules, and one layout that works for all five.
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.
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.
GitHub now benchmarks agentic PR merge rates against industry peers and names custom skills and MCP servers in usage data. Why one is context and the other is the useful change.
The hosted Console, not the CLI, leaked some users' provider keys. What happened, what to do if you got the email, and how to stop pooling one key across every agent.
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.
What the 2.1.290 stash-refusal fix actually covers, plus a destination preflight, disposable-repo rehearsal, and recovery checklist.
A practical read of Copilot in VS Code’s September releases: recurring agent tasks, pull-request follow-through, Dev Containers, and the review controls teams should keep.
Pick the layer you're deciding on.
A practical three-way comparison of the editor agents developers actually evaluate now: context quality, pricing predictability, GitHub integration, and review burden.
After Copilot's billing change and Cursor's VS Code dominance, which AI code editor wins for real development workflows? Context quality, pricing, and ecosystem lock-in compared.
For AWS-heavy teams and JetBrains shops, these are the tools Cursor vs Copilot debates miss. An honest comparison of ecosystem fit, security scanning, pricing, and where each breaks down.
Browse posts by the kind of tool.
Cursor, GitHub Copilot, Windsurf, JetBrains AI, Zed, and Replit: the AI built into the editor you write code in all day.
Claude Code, Codex CLI, Aider, Continue, and Cline: agents that run multi-step changes from your terminal, with your tests in the loop.
Devin, OpenHands, and SWE-agent: tools that take a ticket and come back with a pull request for you to review.
Claude, GPT, Gemini, Llama, Mistral, and Hermes, plus MCP, A2A, and the frameworks that connect agents to tools.