BNLGit
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Same model. Sharper answers.
BNLGit doesn't fine-tune your model or swap it out. It changes the one thing that actually decides whether an agent gets it right: what the model sees. Here's the same question, the same model — without the layer, and with it.
“Where is authentication enforced, and is the token checked before we trust it?”
Dumps files. Guesses. Cites nothing.
Retrieves typed facts. Answers with receipts.
Why the answer on the right is the one you can ship.
Fewer hallucinations
The model reasons over structured, high-signal facts instead of pattern-matching across raw files — so it stops inventing behaviour that isn't there.
Verifiable, not vibes
Every claim points to an exact line at an exact commit. You (or a CI check) can confirm it in one click — trust becomes checkable.
Cheaper & broader
A fact block is a fraction of the tokens of the files it summarises, so more of the system fits in context — cheaper calls, wider awareness.
Always current
Summaries are tracked per blob SHA and re-derived on change, so the agent never quietly reasons over last week's code.
Directionally — and honestly.
These illustrate the mechanism, not a lab result. The rigorous benchmark is in progress; we'll publish real numbers when they're earned.