Basically, instead of just telling an agent "fix this bug," you define a strict specification. The pipeline ensures the AI adheres to that spec throughout the iteration process, which keeps the codebase from degrading into a mess of contradictory patches. It's essentially a guardrail for autonomous coding agents.
If you want to get this running for a deep dive into your own projects, here is the basic flow:
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Clone the repo and install dependencies.
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Define your system specifications in the designated spec files.
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Run the pipeline to generate or modify code based on those specs.
git clone https://github.com/highflame-ai/ai-factory.git
cd ai-factory
npm install
For anyone building a custom AI workflow, this is a solid alternative to the "prompt-and-pray" method. It treats AI generation more like traditional engineering—where the spec is the single source of truth—rather than just a chat conversation. Definitely worth a look if you're tired of your agent introducing regressions every time it tries to be "helpful."
The full source is here:https://github.com/highflame-ai/ai-factory
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