A reusable Codex playbook for structured AI agent workflows, architecture documentation, and project-specific coding guidance.

A step-by-step lifecycle for building software with AI. Focused on context management and high-velocity engineering. Heartbeat → Think, Build, Review, Ship, Learn.

Practical playbook for AI-assisted engineering: rules, role separation, and guardrails for teams using Cursor/Copilot in production codebases (CC BY 4.0).

AI Product Engineering Skills Platform (APES) is an open library of Engineering Playbooks for AI agents. Each Skill is a single skill.md file that defines the methodology for completing one specific engineering task.

Reusable agent rules, templates, subagents, and skills for AI-assisted software delivery.

A collection of production-ready AI engineering skills and playbooks.

System Design Playbook 🎯 is a curated collection of real-world system design case studies inspired by the most frequently asked architecture questions in top tech company interviews such as Google, Amazon, Meta, Microsoft, and other FAANG companies.

Adaptable engineering principles, practices, checklists, and templates for building dependable software.

에이전트 기반 제품 개발 플레이북 — gridi가 코딩 에이전트를 실무 SDLC에 투입하는 방식·컨벤션·원칙 (민감정보 제외) · An AI-native engineering playbook

Practical engineering decisions, patterns, trade-offs, and case studies from building real products.

Personal software engineering playbook with reusable standards, templates, workflows, and best practices.

A publishable template repository for AI-assisted fullstack development workflows across Claude Code, Cursor, and Codex.

Frontend team engineering playbook — code standards, review guidelines, architecture decisions, onboarding

Vendor-neutral AI engineering playbook for architecture decisions, evaluation, release gates, security, and operations.

A production-grade iOS Engineering Playbook covering architecture decisions, governance models, release strategy, technical debt management, and staff-level engineering practices.