AI development pipeline
intent → code.
Ira · wrath
An intent goes in, code comes out.
A free-text intent goes in, reviewed and tested code comes out. In between, four specialized agents that stay out of each other's way.
Why four agents instead of one? A single LLM juggling requirements, architecture, code and review in one context degrades fast. Lun'Ira splits the responsibilities, keeps outputs typed and records the full trace of every run.
Architecture
A sequential pipeline of four agents, each served by the model best suited to its role. When a run fails, QA sends its feedback back to the Developer for another iteration. Seven providers are supported, with automatic fallback and a spending cap.
Clarifies the intent and turns it into structured requirements
Architecture, technical choices and task breakdown
Writes complete files, using the active skills and plugins
Verdict, score and issues; sends work back to the Developer for up to N iterations
Where it stands
Checked in October 2026