Local AI coding
Turn local AI coding into a workflow you can inspect.
A coding assistant is useful for a single answer. Project work needs a loop: define the task, review the risk, verify the claim, apply the fix, and check the result. HAICHI keeps that loop visible.
The repeatable loop
Local AI coding improves when the workflow is small and inspectable. HAICHI is not trying to hide the work behind a single confident answer. It keeps each pass visible so you can judge the result.
- Start with one bounded task instead of a vague project request.
- Ask one agent to identify failure modes and missing tests.
- Ask a second agent to reject weak or unsupported findings.
- Keep only the fixes that survive the verifier pass.
- Run the relevant check before expanding the task.
Where HAICHI fits
Use HAICHI when you want local model work to behave more like an engineering process: scoped, visible, repeatable, and easy to retry. It is especially useful when you already use Ollama and want more structure than a single chat window.