The review earns context.
Two lanes spend it.
Review-bots end at the PR comment — whatever they learned about your codebase is discarded as exhaust. Sigilix turns every reviewed PR into a verified, machine-usable substrate. The Sigilix CLI and Deep-Research Chat draw on it directly.
Vector + lexical, kept current as reviews flow.
Which symbols call which, what depends on what.
What was verified real, what the team dismissed.
Conventions, past verdicts, adjudicated claims.
Where security was probed, with the receipts.
Review and agent. Both flat, both visible.
Run sigilix --review-committed for the traditional pass — it prints every finding and the exact change to make. Or launch sigilix for a grounded coding agent that already knows the repo from the review loop.
Ask the codebase. It does the research.
A grounded chat surface that runs real deep research. Ask how to improve something and it dispatches a search — your repo and code graph alongside GitHub, Stack Overflow, and official docs — then synthesizes an answer with receipts for every claim, internal and external.
Stop re-buying context every session.
Context-blind agents rediscover your codebase on every task. A model working through Sigilix makes one grounded call — the exploration was already paid for by the review loop. Precision rises while cost falls.
The moat isn't the chat loop. It's the verified substrate.
A reviewer can become an agent platform — every PR reviewed deposits exactly the verified substrate an agent needs. An agent cannot easily become a reviewer with a believability record: that record accrues only from adjudicated review work over time. There's no shortcut that synthesizes a dismissal corpus from a cold repository.
Reviewing every PR continuously deposits the index, graph, and trust ledger an agent needs.
Cursor and Copilot are context-blind per session; they hold no verified record of what's real vs. dismissed.