Repositorydisler/super-simple-software-factoryTool
AI coding agents frequently produce inconsistent results across repeated runs when left to manage their own loop. Putting deterministic code in charge of orchestration and validation provides the consistency and traceability needed for serious development pipelines.
Created by disler, the project tackles the lack of repeatability in fully autonomous agent setups. Instead of prompting an agent to run an entire software development lifecycle unchecked, it relies on structured Python scripts (termed AI Developer Workflows or ADW) to maintain strict control over state, retries, and phase gates. Agents are restricted to specific jobs, and state is shared through strict JSON schemas while being monitored in SQLite. With around 800 GitHub stars, the repository serves as an instructive architecture pattern for developers and platform engineers seeking to harness LLM agents without losing control over determinism and acceptance testing.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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