VibeCode-PlayBook
YoussefSelk/VibeCode-PlayBook/docs/llms-full.txt
This repository provides a lightweight multi-agent operating layer that can be installed into another project. Compatible assistants: - Codex - GitHub Copilot - Claude - other chat-based coding assistants that can follow repo instructions and repo-local files Core purpose: - better agent coordination - less repeated context - fewer wasted tokens - stronger end-to-end validation High-confidence usage pattern: 1. Read AGENTS.md 2. Read agentdocs/activecontext.md 3. Read only the specific durable docs needed for the current pass 4. If the task…
# VibeCoders Playbook Full Guide For LLMs This repository provides a lightweight multi-agent operating layer that can be installed into another project. Compatible assistants: - Codex - GitHub Copilot - Claude - other chat-based coding assistants that can follow repo instructions and repo-local files Core purpose: - better agent coordination - less repeated context - fewer wasted tokens - stronger end-to-end validation High-confidence usage pattern: 1. Read AGENTS.md 2. Read agent_docs/active_context.md 3. Read only the specific durable docs needed for the current pass 4. If the task is vague, start with prompt-engineer 5. Route implementation by ownership 6. Validate with tester 7. Use security and legal when the feature crosses their risk boundaries 8. Finish with reviewer Default execution chain: - prompt-engineer -> owner -> tester -> reviewer Security-sensitive chain: - prompt-engineer -> owner -> tester -> security -> reviewer Legal/compliance-sensitive chain: - prompt-engineer -> owner -> tester -> legal -> reviewer Deployment/infra-sensitive chain: - prompt-engineer -> owner -> tester -> devops -> reviewer Very sensitive chain: - prompt-engineer -> owner -> tester -> security -> legal -> reviewer Ownership rules: - db owns schema or persistence changes - backend owns API or business-logic changes - frontend owns UI or client-state changes - devops owns CI/CD, deployment, environment, and infrastructure delivery changes - tester validates the runtime flow - reviewer is the final checkpoint before calling the task done Definition of done: - owning layer change is correct - runtime behavior is validated when relevant - contract mismatches are checked - reviewer-level risks are acceptable Important repo files: - README.md - AGENTS.md - .agents/reference-links.md - agent_docs/active_context.md - agent_docs/project_brief.md - agent_docs/tech_stack.md - agent_docs/verification.md - agent_docs/decisions.md - docs/index.html - docs/pages/resources.html - docs/llms.txt Install entry points: - scripts/install.ps1 - scripts/install.sh - scripts/install.cmd Assistant pack source layout: - .ai/.agents/* - .ai/.codex/* - .ai/.claude/* - .ai/.github/* Human prompt pattern: Have prompt-engineer turn this into a clear execution prompt: "[rough request here]" Assistant adaptation notes: - if the tool supports custom agents or agent profiles, map the repo roles directly - if the tool is single-threaded, treat `prompt-engineer`, `tester`, `security`, `legal`, and `reviewer` as explicit phases in one chat - for GitHub Copilot Chat, paste the role and validation instructions into the chat before implementation work - for Claude, load AGENTS.md first, then active_context.md, then only the specific docs needed for the current pass Key constraints for agents: - prefer short durable docs over long repeated prompts - keep active_context.md current and compact - record durable project facts in project_brief.md - record stack and commands in tech_stack.md - record real verification steps in verification.md - record important decisions in decisions.md - do not force frameworks or structures the target repo does not already use Required inter-agent handoff contract: - goal - scope (files/symbols/flows) - changes - evidence (commands/tests/results) - risks (assumptions/open questions/blockers) - next-owner - done-criteria
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