AGENTS.md vs CLAUDE.md vs .cursorrules vs Copilot instructions
A practical comparison of repository instruction files for Codex, Claude Code, Cursor, and GitHub Copilot so teams can decide what to put where.
- Demand
- 9/10
- Attackability
- 9/10
- Fit
- 9.2/10
Playbooks built from official sources and search-demand scoring, focused on configuration, migration, governance, and security workflows teams actually need to solve.
A practical comparison of repository instruction files for Codex, Claude Code, Cursor, and GitHub Copilot so teams can decide what to put where.
Workflow patterns for using Claude Code subagents to split research, implementation, review, migration, and verification work.
A setup-oriented guide for combining Claude Code hooks, skills, and MCP servers without creating brittle automation.
A security checklist for using MCP servers with coding agents, focused on permissions, secrets, tool scopes, and auditability.
A migration checklist for Gemini CLI users moving to Antigravity CLI, with the key dates, retained concepts, and verification steps.
Use Codex when you want an OpenAI coding agent tied to ChatGPT and Codex workflows; use Claude Code when your team prefers a terminal-first agent with strong project memory, hooks, MCP, and subagent patterns.
Start AGENTS.md with the repo purpose, safe edit boundaries, install commands, test commands, style rules, and review expectations. Keep it short enough that an agent can follow it during a real task.
Use chat mode for questions and small explanations. Use agent mode when the assistant must inspect files, edit code, run commands, react to errors, and bring a task closer to done.
Use a local coding agent when privacy, local tools, and quick feedback matter most. Use a cloud coding agent when the task is long-running, isolated, or better handled as an asynchronous branch or pull request.
A useful coding agent governance checklist covers identity, permissions, tool access, logs, human approval, sandboxing, cost limits, and incident response. Start with a small pilot before wider rollout.