Built offline .NET knowledge base from 820 MB corpus

A builder used AI in Google AI Studio and DeepSeek to build a 19 project .NET system over about 4 and a half hours. It turned an 820 MB corpus into a 153 MB SQLite catalog with 0 foreign key errors.

How it works

Planned the .NET solution with AI help
Generated modular projects and an 8 stage pipeline
Captured failure traces and regenerated fixes instead of patching by hand
Ran the full pipeline on the corpus
Checked the finished SQLite catalog

Why it’s worth knowing

Defects were fixed by feeding failure traces back and regenerating the code, with no manual patching of generated code.

Where it’s from

Summarized from a public post on youtube.com. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be

2The prompt, with the steps

3The check when it’s done

Upgraded prompts are coming soon.

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Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.