AI Orchestration Methodology
A living document
AI Orchestration Methodology
How I make AI agents reliable contributors to production software: treat orchestration as an engineering discipline, not a prompt trick. This methodology is under active development — as is the toolchain built around it.
The problem
AI coding agents are powerful but stateless. Coordinating them across tools and sessions causes context loss and architectural drift: each session starts from zero, invents its own conventions, and slowly diverges from the system it's supposed to serve. Most workflows lack a durable, structured pipeline for routing instructions in and capturing outputs back.
The framework
Persistent rule systems
Domain-specific rule files act as standing system prompts. Instead of re-explaining architecture every session, agents inherit constraints — coding standards, component patterns, privacy rules — that persist across all work.
Truth-stack documentation
Scope, content models, phased roadmaps, implementation slices, and verification rubrics live as versioned docs the agents treat as authoritative. A future agent can pick up the project without reading any prior conversation.
MCP tool integrations
Model Context Protocol servers give agents real capabilities — Git operations, design-to-code, cloud documentation, browser testing — so a single session can carry work across the full development lifecycle.
Structured implementation plans
Complex features get decomposed into dependency-ordered, agent-executable slices with acceptance criteria and embedded constraints, so no single pass bites off more than it can verify.
Context pipelines
Curated codebase snapshots and unidirectional information flows solve the context-window problem while preserving architectural rules — the right context, at the right time, without drift.
Proof in practice
This website is the working demonstration: it was planned and built end to end by AI agents operating against a truth stack of scoped docs, phased roadmaps, and verification rubrics — with every slice reviewed, verified, and shipped through the same pipeline described here.
Deep dives
Architecture walkthrough of the orchestration server Coming soon
Changelog: how the methodology is evolving Coming soon
Case study: building dev-ron.com with the truth stack Coming soon