Use these guides to compare Codex, Claude Code, Cursor, and GitHub Copilot; choose repository instruction files; design repeatable agent loops; and secure MCP access before giving agents more autonomy.
Evidence-backed compatibility guide
Use this support matrix to decide whether CLAUDE.md, Copilot instructions, AGENTS.md, or Cursor rules should carry repository guidance for each tool surface.
Who it helps: Developer tools teams, staff engineers, platform teams, and AI coding adopters.
Practical examples tutorial
Workflow patterns for using Claude Code subagents to split research, implementation, review, migration, and verification work.
Who it helps: Developers using Claude Code for larger codebases, migrations, and multi-step reviews.
Setup guide and control map
A setup-oriented guide for combining Claude Code hooks, skills, and MCP servers without creating brittle automation.
Who it helps: Developers and platform teams wiring Claude Code into repo-specific workflows.
MCP security checklist and threat model
Audit MCP server security with 25 source-backed controls covering authentication, permissions, prompt injection, secrets, sandboxing, logging, revocation, and allow-or-deny tests.
Who it helps: Engineering leaders, security reviewers, platform teams, and developer tooling owners.
Interactive MCP troubleshooting guide
Fix an MCP server that is missing, connected with zero tools, stale, filtered, or visible but never called across Claude Code, Cursor, GitHub Copilot, and other clients.
Who it helps: Developers, MCP server authors, platform teams, and AI coding tool administrators.
Migration guide and checklist
A migration checklist for Gemini CLI users moving to Antigravity CLI, with the key dates, retained concepts, and verification steps.
Who it helps: Developers and teams using Gemini CLI or Google coding agents.
Comparison decision guide
Compare Codex vs Claude Code by workflow shape, public same-task examples, repository instructions, review effort, and a same-repo checklist your team can run before standardizing.
Who it helps: Developers, staff engineers, and team leads comparing agentic coding tools for real repositories.
Template and checklist
Build, audit, copy, and download concise AGENTS.md starters for Codex, Node.js, Python, and monorepos with commands, boundaries, and review checks.
Who it helps: Developers setting up Codex-compatible agents, team leads standardizing repo instructions, and maintainers cleaning stale agent rules.
Support matrix
GitHub Copilot support for CLAUDE.md is surface-specific. Use the GitHub support matrix before relying on it, and keep .github/copilot-instructions.md as the broad Copilot baseline.
Who it helps: Maintainers standardizing Copilot, Claude Code, and Codex repository instruction files.
Examples and templates
Copy practical AGENTS.md patterns for Codex projects, including Node.js apps, Python services, and monorepos with nested package instructions.
Who it helps: Developers and maintainers writing Codex repository instructions for real projects.
Decision tree
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.
Who it helps: Developers trying AI-assisted IDE workflows without wanting a vendor-heavy feature comparison.
Decision matrix
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.
Who it helps: Engineering teams comparing local IDE or CLI agents with cloud sandboxes and asynchronous coding agents.
Governance checklist
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.
Who it helps: Engineering managers, platform teams, security reviewers, and developer-experience teams rolling out coding agents.
Practical loop design guide
Learn loop engineering for AI coding agents through Addy Osmani's workflow context, a budget calculator, stop rules, and a downloadable proof-of-done JSON contract.
Who it helps: Developers, staff engineers, and platform teams adopting agentic coding workflows in Cursor, Claude Code, Codex, or custom CI agents.
AI coding agents comparison hub
Compare Codex, Claude Code, Cursor, and GitHub Copilot by starting surface, repository instructions, parallel work, model boundary, permissions, review path, and team governance.
Who it helps: Developers, platform teams, engineering managers, security reviewers, and buyers choosing an AI coding-agent operating model.
Comparison decision guide
Compare Codex vs GitHub Copilot by app, CLI, IDE, cloud-agent, instruction-file, model, parallel-work, permission, billing, and team-governance fit—with a six-question decision tool.
Who it helps: Developers, platform teams, engineering managers, and enterprise buyers evaluating coding-agent workflows.
Original data report
Explore a reproducible public GitHub snapshot of 400 AGENTS.md, CLAUDE.md, Copilot instruction, and Cursor rule files, including indexed match counts, language mix, test commands, security rules, and common gaps.
Who it helps: Engineering leaders, developer-tool researchers, platform teams, and maintainers designing repository instructions for coding agents.
Alternatives decision guide
Compare Codex, GitHub Copilot, Cursor, Gemini CLI, Cline, Aider, and OpenCode by the workflow problem you need to solve—not by an invented universal ranking.
Who it helps: Developers, staff engineers, platform teams, security reviewers, and buyers evaluating a replacement or complement for Claude Code.