Guides, comparisons, and best practices for AI coding rules. Learn how to write effective CLAUDE.md, .cursorrules, and AGENTS.md files for your projects.
Set up and configure MCP servers in Claude Code for GitHub, databases, browsers, and custom tools. Covers transport types, authentication, security best practices, and troubleshooting.
Learn how to create, install, and share Claude Code skills. Covers skill anatomy, frontmatter options, tool restrictions, plugin packaging, and real-world examples for automating code review, deployment, and testing.
Claude Code and OpenAI Codex CLI compared on architecture, cost, context window, agent systems, and real development workflows. Updated for May 2026 with Opus 4.7 and Codex GA.
Set up Claude Code GitHub Actions for automated PR reviews, issue-to-code workflows, and CI/CD intelligence. Covers v1 GA configuration, Bedrock/Vertex setup, cost optimization, and real workflow examples.
Career-Ops (44,500+ stars), LazyApply, and JobScan AI are the three dominant AI job search tools in 2026. This comparison breaks down their architecture, pricing, target users, control surface, and the exact scenarios where each wins. Includes decision framework, FAQ, and migration guide between them.
Career-Ops is the viral Claude Code skill bundle (44,500+ stars in May 2026) that turned one engineer's job search from 740 listings into 1 signed Head of Applied AI offer. This is the 30-second definition, plus what makes it different, who it's for, and where to go next.
The complete, structured reference for Claude Code subagents — built-in (Explore, Plan, general-purpose), custom subagent creation, frontmatter fields, scope priority, tool restrictions, persistent memory, /agents command, hooks, model selection, forking conversations. Based on the official Anthropic May 2026 docs.
Career-Ops ships 12 distinct skill modes — from URL scanning across 45+ portals to A-F evaluation with 10 weighted dimensions, parallel batch processing via claude -p workers, and STAR interview prep accumulation. This comparison covers what each mode does, when to use it, output format, and how the modes chain together. Based on the official santifer/career-ops repository as of May 2026.
Claude Code does NOT read AGENTS.md directly. The official answer from Anthropic (May 2026 docs) is to import AGENTS.md into CLAUDE.md using @AGENTS.md syntax, or use a symlink. This reference covers the three integration patterns, /init behavior, Windows-specific notes, and what every team using both Claude Code and other agents (Codex, Cursor) needs to know.
Caveman is the AGENTS.md ruleset and Claude Code plugin that compresses AI agent outputs by an average of 65% without losing technical accuracy. Full breakdown of the 4 compression levels, 10 rules, benchmarks, cavecrew multi-agent pattern, /caveman-stats measurement, OpenClaw/opencode integration, and how it fits with AGENTS.md, CLAUDE.md and the broader rule-file ecosystem.
Every Claude Code plugin component in one page — verified against Anthropic's May 2026 docs. Cover Skills, Agents, Hooks, MCP servers, LSP servers, Monitors, Commands, the plugin.json schema, .claude-plugin/ structure, marketplace distribution, and production patterns.
Step-by-step tutorial for using Career-Ops — the viral Claude Code job-search system. CV onboarding, portal scanning, batch evaluation, application tracking, and the exact prompts to drive each of the 14 skill modes. Verified against the GitHub source as of May 2026.
Windsurf Rules（global_rules.md）、Cursor Rules（.cursorrules/MDC形式）、AGENTS.mdを横断比較。スコープ・構文・マイグレーション手順を解説。
Complete guide to Roo Code custom instructions. Learn how to set up .roo/rules/ directory, create custom modes (Architect, Debug, Code), and write mode-specific rules for your project.
Roo Codeのカスタムインストラクション完全解説。.roo/rules/ディレクトリの設定、カスタムモード（Architect、Debug、Code）の作成方法、モード別ルールの書き方を実例付きで解説します。
Every Claude Code hook event in one page — verified against Anthropic's May 2026 docs. Cover all 32+ event types, 5 handler types (command/http/mcp_tool/prompt/agent), matcher patterns, exit code 2 blocking semantics, JSON input/output schemas, and production patterns.
Santiago's Career-Ops hit 44,554+ GitHub stars (44.5K within a week). Beyond the job-search use case, it's a reference implementation for building production Claude Code Skills. We dissect the 14-mode architecture, AGENTS.md setup, 10-dimensional scoring, and what you can steal for your own systems.
AGENTS.md, CLAUDE.md, and .cursor/rules each solve AI coding configuration differently. We compare all three on scope, frontmatter, scoping, imports, and rule activation — verified against Anthropic and Cursor 2026 docs — plus migration paths between them.
Every Claude Code subagent setting in one place — verified against Anthropic's May 2026 docs. Cover 17 frontmatter fields, 5 scope locations, 3 built-in subagents (Explore/Plan/general-purpose), permission modes, MCP scoping, and isolation:worktree.
Career-Ops by Santiago turned 740 listings into 1 Head of Applied AI offer. Full reference to 14 skill modes, the A–G evaluation rubric, multi-agent design, and how 3 community forks differ — all verified against the GitHub source.
Step-by-step Claude Code installation guide for 2026. Native installer, npm, Homebrew, WinGet — covering all platforms, common errors, AGENTS.md/CLAUDE.md setup, and first-run configuration.
2026 Q2 updated comparison of GitHub Copilot CLI and Claude Code CLI. Model availability (Opus 4.7 / GPT-5 / Gemini 3 Pro), agent architecture, pricing tiers, SWE-bench scores, AGENTS.md compatibility, ideal use cases, and how senior engineers compose both. FAQ included for AGENTS.md and pricing questions.
Complete 2026 guide to building production-grade agentic AI systems. Coordinator-specialist patterns, AGENTS.md/CLAUDE.md integration, governance, observability, and human-in-the-loop design from Anthropic, Google, and Shopify.
Deep analysis of AGENTS.md files from n8n, awesome-go, LangFlow, Deno, Linear, Grafana, OpenAPI Generator, and Astro. What they have in common, what makes each unique, and what every developer can learn from them.
Production-ready CLAUDE.md templates for Python projects. Covers modern Python toolchain (uv, ruff, pyproject.toml, pytest), with separate patterns for FastAPI, Django, and data science projects. Copy-paste ready.
10 copy-paste CLAUDE.md templates for real project types: frontend SPA, full-stack Next.js, REST API, monorepo, open source library, mobile app, browser extension, CLI tool, infrastructure/IaC, and documentation sites.
Design principles and operational patterns for AGENTS.md drawn from 60,000+ real repositories. Beyond format basics — how top projects structure instructions, handle multi-tool environments, and keep AGENTS.md from going stale.
A technical deep-dive comparing CLAUDE.md, CONVENTIONS.md, and AGENTS.md — format, supported tools, strengths, weaknesses, migration paths, and real code examples. Decide which AI coding rules format belongs in your repo.
Concrete CLAUDE.md best practices drawn from analyzing 100+ real-world repositories. 12 actionable patterns, common anti-patterns, and why most CLAUDE.md files underperform. For developers who want results, not theory.
A rigorous methodology-first benchmark of the four leading AI coding tools — Cursor, Claude Code, Aider, and OpenAI Codex CLI — tested across five real-world task categories. With cost-per-task tables, hidden overhead analysis, and a recommendation matrix by use case.
A complete comparison of OrbStack and Docker Desktop for Mac developers in 2026. Real benchmarks on M2 MacBook Pro, pricing at team scale, Kubernetes support, Apple Containers context, and a clear decision guide for every use case.
A decision-focused deep dive into when to use sub-agents versus Agent Teams, with a full pattern catalog, cost and token analysis, failure mode taxonomy, and the honest case for not going multi-agent at all.
AGENTS.md を書いたら効いていると思い込んでいないか？指示の遵守率を測定し、欠如時との差分を計測し、サイレントに失敗しているルールを修正する系統的アプローチを解説する。
Most teams write AGENTS.md and assume it works. Here's a systematic approach to testing whether your instructions are followed, measuring the delta when they're absent, and fixing the rules that silently fail.
Going beyond cost optimization — learn how to actually see what Claude Code is doing. Hooks-based telemetry, JSONL transcript parsing, LangSmith/Langfuse integration, Grafana dashboards, and production-grade error tracing for Claude Code in 2026.
Claude Code がサブエージェントを生成すると、全員が同じ AGENTS.md を読む。でも専門特化したエージェントには、その役割に必要なコンテキストだけを渡すべきだ。エージェントごとの AGENTS.md 設計パターンを解説する。
When Claude Code spawns sub-agents, they all read the same root AGENTS.md — but that's often the wrong instructions for a specialized agent. Here's how to design per-agent AGENTS.md files that give each sub-agent the context it actually needs.
AGENTS.md はバージョン管理に入り、チームで共有され、公開リポジトリに上がることもある。何を書くべきで何を書くべきでないか、プロンプトインジェクション攻撃の実態まで具体的に解説する。
AGENTS.md files end up in version control, shared across teams, and sometimes public repositories. Here's a concrete guide to what belongs in them, what doesn't, and how prompt injection via AGENTS.md actually works.
The wrong file choice wastes your context budget and trains bad AI habits. 11 use-case templates with file selection rationale, ready-to-copy configurations, and a composition guide for multi-tool setups.
Gemini CLIがAGENTS.mdをサポートした。でも「互換性あり」は表面的な話。Claude Codeとどう解釈が違うのか、2ツール対応の書き方はどうすべきかを具体的に解説する。
Gemini CLI landed with its own take on AGENTS.md support. Here's exactly what it reads, what it ignores, and how to write instructions that work across both Gemini CLI and Claude Code without maintaining two files.
A practical guide to using Claude Code, Cursor, Codex CLI, and Aider for mobile development across Flutter, React Native, Swift/SwiftUI, and Kotlin/Compose — with CLAUDE.md and AGENTS.md templates for each framework.
AGENTS.mdにはスキーマも強制フォーマットもツールチェーンもない。ASTスタイルのパース・ルール定義・Pre-commitとCIに組み込めるCLIまで、軽量バリデーターをゼロから構築する。
AGENTS.md files have no schema, no enforced format, and no tooling. Here's how to build a lightweight validator from scratch — with AST-style parsing, rule definitions, and a CLI you can wire into pre-commit and CI.
Plan modeはコードレビューだけのものではない。CLAUDE.mdを1行も書く前に設計するための最適なツールだ。矛盾・ギャップ・過剰仕様を問題になる前に洗い出す実践的なワークフロー。
Plan mode isn't just for code review — it's the right tool for designing CLAUDE.md before you write a single line. Here's a practical workflow for using Claude's planning pass to surface conflicts, gaps, and over-specification before they become problems.
モノレポ環境では単一のAGENTS.mdでは対応しきれない。Nx・Turborepo・pnpmワークスペースを使った階層的AGENTS.md運用と、重複管理のコストを下げる実践パターンを解説。
AGENTS.mdは静かに陳腐化する。GitHub ActionsとPre-commitフックでドリフトを検知し、本番環境に影響が出る前にキャッチする実践的なワークフローYAMLとシェルスクリプト。
AGENTS.md is a living document that drifts silently. Here's how to wire GitHub Actions, pre-commit hooks, and automated review bots to catch staleness before it hits production — with real workflow YAML and shell scripts.
Monorepos break single-file AI instruction conventions. Here's how to use hierarchical AGENTS.md files across packages, workspaces, and CI contexts — with real Nx, Turborepo, and pnpm workspace patterns.
Cursor's .mdc Project Rules and AGENTS.md solve similar problems with different trade-offs. Here's a direct comparison of file formats, scoping behavior, activation logic, and the dual-stack setup that gets you the best of both.
CursorのProject Rules（.mdc形式）とAGENTS.mdは似た問題を異なるトレードオフで解決する。フォーマット、スコーピング、アクティベーション、デュアルスタック構成まで実例で比較。
CLAUDE.mdのトークン消費を40%以上削減する実践テクニック。@import構文、ファイル分割パターン、プロンプトキャッシュとの相性、実測削減量の計測方法まで解説。
Cut your CLAUDE.md token consumption by 40%+ without losing functionality. Covers @import syntax, file splitting patterns, lazy loading, prompt cache compatibility, and how to measure what you actually cut.
You have Codex CLI installed and AGENTS.md configured. Now what? This guide catalogs 7 proven workflow patterns — inline review, spec-driven generation, test-first refactor, multi-step planning, and more — plus AGENTS.md tuning, a feature comparison against Claude Code and Cursor, cost optimization, and the pitfalls that catch most developers off guard.
Stop choosing between Cursor and Claude Code. The developers shipping the most in 2026 are running both — in a deliberate hybrid workflow that plays to each tool's strengths. Here's the complete playbook.
Does GitHub Copilot actually read AGENTS.md? 2026 Q2 updated guide covering Copilot Chat / Workspace / Coding Agent / CLI behavior, .github/copilot-instructions.md vs AGENTS.md tradeoffs, and configuration patterns for mixed Copilot + Claude Code teams. FAQ + production token-budget measurements included.
GitHub CopilotはAGENTS.mdをどう読むのか（2026年Q2更新版）。Copilot Chat / Workspace / Coding Agent / CLI の挙動差、.github/copilot-instructions.md とAGENTS.md の使い分け、Claude Codeとの共存設定、トークン予算測定、FAQまで実例で解説。
A technical guide to writing AGENTS.md for OpenAI Codex agents. Covers what Codex actually reads, differences from CLAUDE.md behavior, CI pipeline integration, and patterns that produce consistent results.
OpenAI Codex エージェント向けの AGENTS.md 執筆技術ガイド。Codex が実際に読むもの・CLAUDE.md との動作の違い・CI パイプライン連携・一貫した結果を生むパターンを解説。
Your .cursorrules file works, but it's locked to Cursor and ignored in Agent mode. Here's the complete migration path to AGENTS.md — conversion script, gotchas, and how to keep both working during the transition.
.cursorrulesはCursor ChatとComposerでは動くが、Agent modeでは無視される。AGENTS.mdへの移行手順、変換スクリプト、Cursor互換性の維持方法、よくあるハマりどころを解説。
How to configure Dev Containers alongside Claude Code for consistent AI-assisted development. Covers devcontainer.json setup, CLAUDE.md for container environments, MCP servers in containers, and team onboarding.
一貫した AI 支援開発のための Dev Container と Claude Code の組み合わせ設定。devcontainer.json・コンテナ環境向け CLAUDE.md・コンテナ内 MCP サーバー・チームオンボーディングまで解説。
Claude Code をプロジェクト固有のツールで拡張するカスタム MCP サーバーの構築方法。TypeScript SDK・ツールスキーマ設計・リソースエンドポイント・エラーハンドリング・settings.json による接続まで解説。
How to build a custom MCP server that extends Claude Code with project-specific tools. Covers the TypeScript SDK, tool schema design, resource endpoints, error handling, and connecting to Claude Code via settings.json.
When your monorepo grows past 50 packages, standard AI tool setups break down. This deep-dive covers 7 configuration patterns, per-tool walkthroughs for Nx, Turborepo, pnpm workspaces, and Bazel, plus token budget measurement, CI/CD integration, and the pitfalls that only appear at scale.
A deep dive into when to use AGENTS.md vs CLAUDE.md — with a full decision matrix, real repo walkthroughs, migration patterns, coexistence strategies, and 7 pitfalls to avoid. For devs who have already read the basics and want the full picture.
Claude Code で体系的なコードレビューを実施する方法。PR分析・セキュリティチェック・アーキテクチャフィードバック、そしてレビューモードと実装モードで動作を変えるCLAUDE.md設定まで解説。
How to use Claude Code for systematic code review — PR analysis, security checks, architectural feedback, and how to configure CLAUDE.md so review mode behaves differently from implementation mode.
Anthropic bills by the token, and Claude Code can burn through them fast. This guide covers model selection, prompt caching, CLAUDE.md design, .claudeignore, worktrees, and sub-agent patterns that keep costs under control without slowing you down.
A complete CLAUDE.md template tuned for TypeScript projects. Covers type safety rules, import conventions, error handling patterns, testing standards, and common anti-patterns to block.
TypeScript プロジェクト向けに最適化した CLAUDE.md テンプレート。型安全性・インポート規約・エラーハンドリング・テスト基準・禁止パターンを網羅したプロダクション対応版。
Claude Code のパーミッションシステムを徹底解説。信頼レベル・許可ツール・危険操作・settings.json によるプロジェクト別の許可/拒否リスト設定まで網羅。
Understand how Claude Code's permission system works: trust levels, allowed tools, dangerous operations, and how to configure project-specific allow/deny lists in settings.json.
.clinerules と Roo Code の .roo/rules/ を技術的に比較。ファイル構造・グロブマッチング・モード別設定・MCPパーミッションの違いから、プロジェクトに合った選択肢を解説します。
A deep comparison of .clinerules and Roo Code's .roo/rules/ system. Covers file format, glob matching, mode-specific config, context budget, and which tool fits your workflow in 2026.
Set up Claude Code for Flutter development with a complete CLAUDE.md template. Covers clean architecture, Riverpod state management, and platform-specific rules for iOS/Android.
Secure your AI coding workflow with OWASP-aligned CLAUDE.md rules. Copy-paste template covering injection prevention, auth validation, secrets management, and secure defaults.
Side-by-side comparison of Windsurf Rules (global_rules.md), Cursor Rules (.cursorrules/MDC), and AGENTS.md. Learn the scope, syntax, and migration path for each AI coding config format.
PythonプロジェクトのCLAUDE.md・.cursorrulesテンプレートを徹底解説。型ヒント、テスト規約、パッケージ管理、非同期パターンのルール設定でAIアシスタントの出力品質を向上。
Complete AI coding rules for React and Next.js projects — server vs client component rules, App Router conventions, TypeScript patterns, testing with Vitest, and production-ready CLAUDE.md templates.
Complete guide to writing AI coding rules for Python projects — CLAUDE.md templates, .cursorrules examples, type hints, testing conventions, packaging, and environment management for Claude Code and Cursor.
React・Next.jsプロジェクト向けの実用的なAIコーディングルール。サーバー/クライアントコンポーネントの判断基準、App Router規約、TypeScriptパターン、テスト設定のテンプレートを提供。
Claude Codeの記憶システムを実際に機能させる設計と運用方法。MEMORY.mdアーキテクチャ、セッション引き継ぎワークフロー、Auto Memoryの管理、チーム・個人開発者向けパターンを解説。
How to design and maintain a working Claude Code memory system — MEMORY.md architecture, session handoff workflows, Auto Memory curation, and patterns for teams vs. solo developers.
Claude Code サブエージェントのベストプラクティスを2026年版で網羅。実本番のAGENTS.md 12パターンを分析。タスク分解、コンテキスト受け渡し、並列実行、エラー復旧、見た目は正しいが大規模化で崩れる失敗モードまで。
Claude Code subagents best practices in 2026 — 12 production-tested patterns from real AGENTS.md files. Task decomposition, context passing, parallel execution, error recovery, and the failure modes that look fine until they don't.
基本的な削減を超えたCLAUDE.mdの高度なトークン最適化技術。レイジーロード、条件付きセクション、メモリオフロード、実測方法を解説します。
Advanced token optimization strategies for CLAUDE.md beyond basic pruning — lazy loading, conditional sections, memory offloading, and real measurement techniques to reclaim your Claude Code context window.
CLAUDE.mdを効果的に書くためのステップバイステップガイド。何を書くべきかの特定方法、Claudeが実際に従う命令の書き方、CLAUDE.mdを悪化させる典型的なミスとその修正方法を解説。
A step-by-step process for writing effective CLAUDE.md files — how to identify what to include, how to phrase instructions Claude actually follows, and common mistakes that make CLAUDE.md files worse instead of better.
OpenAI Codex CLIでAGENTS.mdを活用する方法を解説（2026年Q2更新版）。ファイル配置、構文、32KiB制限、override機構、モノレポパターン、実プロジェクトの設定例、ベストプラクティスまで網羅。Codex CLI最新挙動・spec安定化対応。
Complete 2026 Q2 guide to writing and configuring AGENTS.md for OpenAI Codex CLI. Covers file discovery, the 32 KiB limit, override mechanism, monorepo patterns, real production examples, and best practices for agentic coding. Updated for spec stabilization and new Codex CLI behavior.
.cursorrulesと.cursor/rules（MDC形式）の違いを徹底比較。構文の違い、スコープ管理、移行手順、プロジェクト規模別の選び方まで解説。
Compare .cursorrules and .cursor/rules MDC format side by side. Covers syntax differences, scoping, migration steps, and when to use each format in your Cursor AI workflow.
Everything you need to know about .windsurfrules — how they work, how they differ from .cursorrules and CLAUDE.md, and 12 practical examples you can use today.
AGENTS.md is becoming the standard for multi-agent AI instruction files. Learn exactly how to write one that actually works — with real examples, anti-patterns to avoid, and tested patterns for orchestrators, subagents, and hybrid setups.
How to wire Claude Code's hook system into pre-commit so linting, tests, and secret scanning run automatically before every commit. Includes copy-paste configs for Python, TypeScript, and polyglot repos.
A practical debugging workflow for Claude Code. Covers error reproduction, Plan Mode for complex bugs, test-driven debugging, hooks for auto-linting, and the /rewind escape hatch.
Learn how to connect Claude Code to external tools via MCP servers. Covers configuration, scoping, security, the top servers worth installing, and how Tool Search keeps context usage manageable.
A practical comparison of Claude Code and Cursor based on real benchmark data and workflow differences. Covers architecture, speed, accuracy, cost, and when to use each tool — including the hybrid setup most experienced developers have landed on.
Learn how to configure Cline with .clinerules files. Covers single-file and directory formats, YAML frontmatter, glob-based conditional rules, and 5 copy-pasteable templates.
Set up Claude Code Agent Teams for real parallel development. Covers the experimental feature, team configs, git coordination, CLAUDE.md optimization, and when to use it.
Copy-pasteable Cursor rules templates for React/Next.js, Python, Go, TypeScript, and more. Covers .cursorrules and the new .cursor/rules/*.mdc format.
A practical breakdown of Claude Code's four-layer memory system — CLAUDE.md, auto memory, MEMORY.md, and Auto-Dream — with honest coverage of what persists, what doesn't, and the patterns that actually survive session restarts.
Claude Code defaults to writing implementation first. Here is how to flip that with PreToolUse hooks, CLAUDE.md constraints, and a skill-based red-green-refactor loop that actually holds up across a full session.
How to measure, cut, and restructure your CLAUDE.md for maximum context efficiency. Covers token counting, what to prune, lazy-loading patterns, and how to reclaim 30–50% of your context window without sacrificing behavior.
Not just a .cursorrules conversion — a full workflow migration guide covering IDE habits, MCP setup, git integration, keybindings, and the mental model shift that actually makes Claude Code click.
Learn how to use git worktrees with Claude Code to run multiple AI sessions in parallel on separate branches. Covers the --worktree flag, subagent isolation, cleanup behavior, and real-world parallel task patterns.
A practical step-by-step guide to converting your existing Cursor rules to CLAUDE.md for Claude Code. Covers rule translation, what carries over, what needs rewriting, and how to support both tools from a single AGENTS.md.
A practical guide to writing effective AGENTS.md files for Claude Code and multi-agent systems. Covers format, scope hierarchy, entry design, tool permissions, and the patterns that make subagents actually useful.
Why Claude Code drains your context window faster than the 1M token limit suggests — and 7 fixes that actually work in 2026. Covers .claudeignore patterns, lean CLAUDE.md design, compaction, subagents, and session resume.
Learn how to build custom slash commands in Claude Code using the Skills system. Covers SKILL.md structure, command vs skill patterns, scope, progressive disclosure, and practical examples you can copy today.
Learn how to use Claude Code subagents effectively — when to delegate, how to write AGENTS.md entries, parallel vs sequential patterns, and the key mistake that wastes your context window.
Learn how to use Claude Code hooks to automate formatting, block dangerous commands, inject context, and enforce team rules. Includes 10 copy-paste-ready examples covering all major hook events.
Learn how to configure Claude Code for monorepos using nested CLAUDE.md files, package-specific subagents, token budget strategies, and team-friendly patterns. Includes a real-world example with a full-stack TypeScript monorepo.
Curated list of the best Claude Code Skills (custom slash commands) on GitHub, updated for 2026 Q2. From design audits to security research, session management, and subagent integration — these skills turn Claude Code into a specialized expert. Includes installation guide, FAQ, and ecosystem updates.
A complete guide to Claude Code best practices, combining Anthropic's official documentation with battle-tested patterns from the developer community. Covers CLAUDE.md, hooks, skills, memory, and workflow optimization.
AGENTS.md is the multi-tool standard (60K+ repos). CLAUDE.md is Claude Code's native config. Learn when to use each, how to combine them with @import, and avoid the 7 most common setup mistakes.
Next.js、Python ML、API、モバイル、DevOps、OSSなど用途別のCLAUDE.mdテンプレートを10個紹介。コピペしてすぐにClaude Codeを最適化できる実践的な設定集。
Ready-to-use CLAUDE.md templates for Next.js, Python ML, REST APIs, React Native, DevOps, open source libraries, monorepos, documentation sites, Chrome extensions, and CLI tools. Copy, paste, customize, ship.
A curated list of the 20 best AI coding rules from real open-source projects. Featuring CLAUDE.md, .cursorrules, and AGENTS.md files from Vercel, LangChain, Deno, Grafana, and more — with analysis of what makes each one effective.
Learn how to write an effective CLAUDE.md file for Claude Code. This 2026 Q2 update covers token-cost economics, the Anthropic Official Include/Exclude table, the @import pattern, CLAUDE.md vs Skills decision rules, real-world anti-patterns, and how to treat CLAUDE.md as code. Includes FAQ + FAQPage schema for AI referral.
Cursor Rules vs CLAUDE.md vs AGENTS.md — a complete 2026 comparison with real-world data. Which format works with which tool, how to migrate between them, and the hybrid setup most teams actually ship today.
Browse our curated collection of CLAUDE.md, .cursorrules, AGENTS.md, and image prompts.