AISync Vision: The Living Documentation of the Hive

🔮 The Problem: Documentation Decay

In a fast-evolving hive like Aura, documentation often lags behind reality. When the Queen's logic (Core Engine) changes or the Guard (API Gateway) adds new verification steps, manual documentation (README.md, API_SPECIFICATION.md) can become stale, leading to confusion for foragers (developers and agents).

🚀 The Vision: AISync

AISync is our roadmap for creating "Living Documentation" where code and docs are cryptographically and semantically synchronized.

1. Contract-First Synchronization (The Genetic Code)

We use Protocol Buffers (proto/) as the single source of truth for the hive's communication signals.

• Current: buf generate creates Python/TS stubs.

• Vision: Automate protoc-gen-doc to regenerate docs/INTERNAL_RPC.md on every commit, ensuring internal gRPC contracts are always accurate.

2. Schema-Driven Documentation (The Honeycomb Structure)

Our configuration and data models are defined using Pydantic V2.

• Current: Manual mapping in DEVELOPER_GUIDE.md.

• Vision: Use sphinx-pydantic or custom scripts to extract field descriptions and validation rules directly from core-service/src/config/ and inject them into the markdown files.

3. API Reflection (The Guard's Registry)

FastAPI already generates a "live" openapi.json.

• Current: Manual API_SPECIFICATION.md.

• Vision: A CI/CD hook that converts the live OpenAPI schema into a human-readable Markdown format (openapi-to-md), ensuring that HTTP headers (X-Signature, etc.) are always documented exactly as they are enforced in security.py.

4. Agentic Synchronization (The Chronicler Bee)

The ultimate goal is for an AI Agent (The Chronicler) to maintain the hive's records.

• Mechanism: On every PR, an agent analyzes the diff. If it detects a change in business logic (e.g., a new negotiation status) or infrastructure (e.g., adding Redis), it automatically proposes updates to the documentation.

• Reflection: The agent doesn't just copy code; it translates it into the hive's narrative, ensuring that llms.txt and ARCHITECTURE.md remain "enchanted" and consistent.

🛠️ Implementation Roadmap

Phase	Tooling	Goal
Phase 1: Proto Sync	buf + protoc-gen-doc	Auto-gen internal gRPC docs
Phase 2: Config Sync	pydantic + mkdocs-material	Sync .env guides with code
Phase 3: Gateway Sync	fastapi -> markdown	Sync OpenAPI spec with API_SPECIFICATION.md
Phase 4: Agentic Sync	bee.Chronicler (LLM)	Full semantic alignment across the repo

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The documentation should be as alive as the code it describes.