Product memory
Code, APIs, database schema, frontend routes, tests, docs, owners, and hotspots, kept current on every merge.

Autter chat is grounded in product memory: the live map of your code, APIs, schema, routes, tests, owners, and hotspots. Every answer points at the code it came from.
The same context that powers every review is there to be questioned in plain language.
Every finding explains itself on request: what failed, why it matters, and what the fix looks like, in plain language instead of a stack trace.
Paste an error and get the file, the line, the owner, and the change that introduced it, pulled from the same error-tracing engine behind the analytics.
Ask what a change can reach before you write it. Product memory maps code, APIs, schema, routes, and tests, so the answer is a graph, not a guess.
Chat proposes the patch and the sandbox verifies it, the same way every Autter fix PR is verified before it ships.
Not a general-purpose assistant with your repo pasted in. A reviewer that already holds the whole map.
Code, APIs, database schema, frontend routes, tests, docs, owners, and hotspots, kept current on every merge.
Every past finding, fix, and incident is in reach, so answers carry the history of your codebase, not just its current state.
Answers link to the exact files, tests, and PRs they rest on. If it cannot cite it, it says so.
Proposed patches run in the sandbox before you see them, so a suggestion is already a passing change.
Who owns this module, what changed it last, and what broke it before, answered without archaeology.
Available from the review thread on GitHub and from the Autter CLI, so the conversation happens next to the code.
Answers are only useful with the code to back them.
Chat that guesses is worse than no chat at all. Autter answers from product memory and cites its sources, so you can check every claim against the repo it came from.