Concepts Overview

AID — AI Integrated Development — is a complete methodology for software development where human and AI co-execute every phase. “Integrated” is the operative word: the human is the pilot, the AI is the suit.

This section covers the why and how behind AID’s design. It is explanation-oriented — read it to understand the ideas before you look up facts in the Reference section.

In this section

• The AID Methodology — the full methodology: pipeline architecture, philosophy, the Knowledge Base, phases, agents, feedback loops, lite vs full path, and AID vs spec-driven development. Seven architecture diagrams included.
• FAQ — common questions about adoption, tooling, the lite path, and the technical underpinnings.

Start here

If you are new to AID, read The AID Methodology first. It covers:

1. The Pipeline — the six numbered phases (Discover → Interview → Specify → Plan → Detail → Execute), organized into five groups (Prepare, Define, Map, Execute, Deliver), and how the flow maps to human/AI collaboration
2. Philosophy — why rigor + AI beats Agile’s rigor compromise
3. The Knowledge Base — the 14-document living specification that makes every subsequent task faster
4. The Phases — what each phase produces and when to skip it
5. The Agent Model — the nine specialist agents and how they are dispatched
6. Feedback Loops — the 11 formal pathways for upstream revision
7. Artifacts Reference — every named file the methodology produces
8. Case Studies — greenfield, brownfield full path, brownfield lite path
9. Comparison with SDD — where AID subsumes spec-driven development and where it diverges
10. Adoption Guide — how to start

Once you understand the concepts, use the Reference section to look up exact command syntax, settings keys, and artifact definitions.