Document AI-agent-ready project standard#16
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📝 WalkthroughWalkthroughThis PR establishes an AI-agent-ready repository framework by introducing foundational architecture documents, vision/roadmap artifacts, and operational guidance. It defines agent responsibilities, scoped PR lifecycle rules, safety boundaries, and repository structure standards to enable controlled AI collaboration. ChangesAgent-Ready Repository Standards
Estimated code review effort🎯 2 (Simple) | ⏱️ ~12 minutes Possibly related PRs
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🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches🧪 Generate unit tests (beta)
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Pull request overview
This PR adds a documented “AI-agent-ready project standard” layer to the repository, establishing a shared set of canonical guidance docs (policy, structure, workflows) plus planning artifacts (vision/roadmap/architecture) so future AI agents can operate safely and consistently.
Changes:
- Introduces the AI project standard documentation set (standard, vision, roadmap, agentic architecture, decision log).
- Adds a new reusable agent prompt template (
status-and-next) underprompts/agent-workflows/. - Updates
AGENTS.mdto reference the new planning/standard documents.
Reviewed changes
Copilot reviewed 8 out of 8 changed files in this pull request and generated 2 comments.
Show a summary per file
| File | Description |
|---|---|
| ROADMAP.md | Adds phased roadmap for evolving the project into an AI-agent-integrated platform. |
| prompts/agent-workflows/status-and-next.md | Adds an audit-only workflow prompt template to assess repo state and propose next safe tasks. |
| PRODUCT_VISION.md | Documents product identity, target users, and AI integration principles. |
| GEMINI.md | Adds a Gemini-specific entrypoint adapter for repo guidance. |
| DECISION_LOG.md | Records key architectural/workflow decisions (package manager, canonical policy, PR lifecycle, etc.). |
| AI_PROJECT_STANDARD.md | Defines the “AI-agent-ready project standard” structure and anti-patterns. |
| AGENTS.md | Adds a reference section pointing to the new standard/vision/roadmap/decision docs. |
| AGENTIC_ARCHITECTURE.md | Documents the human+AI collaboration model, boundaries, and safety gates. |
| # Gemini Adapter | ||
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| Read `AGENTS.md`, `PROJECT_STRUCTURE.md`, and `AGENT_WORKFLOWS.md` first. |
| # Workflow: Status and Next | ||
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| **Goal**: | ||
| Understand the repository state, guidance, boundaries, and workflow rules, and recommend the next safest task. | ||
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| **Mode**: | ||
| Audit-only. | ||
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| **Rules**: | ||
| * Read `AGENTS.md`, `PROJECT_STRUCTURE.md`, and `AGENT_WORKFLOWS.md` first. | ||
| * Do not modify files. | ||
| * Do not stage anything. | ||
| * Do not commit anything. | ||
| * Do not push. | ||
| * Do not create branches. | ||
| * Do not install dependencies or run modifying commands. | ||
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| **Steps**: | ||
| 1. Run `git status --short` and `git branch --show-current`. | ||
| 2. Inspect the repository guidance files. | ||
| 3. Summarize the current repository state and boundaries. | ||
| 4. Propose the next 3 tasks, ordered by safety and value, based on the current state and roadmap. | ||
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| Stop after reporting. Do not modify files. |
Establish AI-agent-ready project standard layer and roadmap.
Summary by CodeRabbit