Autonomous AI code agent
Codebase intelligence
that acts.
Redzam is an autonomous AI code agent. It diagnoses and fixes code by reasoning over a typed, versioned graph of your codebase — then delivers its work as a reviewable pull request.
Point it at a GitHub repo. It indexes, reasons, and opens PRs — a human reviews.
How it works
One loop, from a trigger to a reviewable PR.
Redzam doesn't just find code — it reasons over a graph of your codebase to make safe, correct changes, then proves its work.
- 01
Trigger
A runtime error is reported, or a human requests a change through the widget.
- 02
Locate in the graph
Map the stack frame or request to the exact vertex, at the exact indexed commit.
- 03
Reason over the graph
Contracts, callers, dependencies, effects, blast radius — the decision substrate for a safe edit.
- 04
Fetch source on demand
Pull only the implicated files from GitHub. Source is never stored on Redzam.
- 05
Generate the change
Gemini produces a fix or an implementation, grounded in what the graph asserts.
- 06
Verify
The change is checked against the contracts the graph guarantees before it ships.
- 07
Open a PR
A branch and pull request with the explanation and the affected graph paths. You review.
Why it's different
Built to change code safely — not just read it.
The graph is a decision substrate, not a search index
Most tools use a graph to help an AI find code. Redzam reasons over the graph to safely change code. That raises fidelity from nice-to-have to correctness-critical: contracts, callers, effects, and blast radius are all first-class.
The graph never lies about what it doesn't know
The dangerous failure isn't an incomplete graph — it's an incomplete graph that pretends to be complete. Every gap is a queryable marker. A shortfall marks the snapshot degraded rather than falsely complete, so the agent never guarantees safety on blind data.
Your source never lives on Redzam
Only graph metadata is stored. Source is fetched from GitHub on demand at fix time and never persisted. Enrichment runs client-side in your CI, where the code already lives.
Versioned, per-commit, drift-aware
The graph is append-only and versioned per commit. When an error arrives for a commit the graph doesn't match, Redzam knows it's stale instead of reasoning on the wrong code.
Two ways in
Reactive and proactive — one substrate.
Bug-fix from a runtime error
Your app reports an error to Redzam. The agent traces it through the graph to the responsible code, diagnoses the root cause, and proposes a fix as a PR.
Change on demand
Ask for a feature or a change through the embeddable widget. The agent plans it against the graph, implements it, and opens a PR — context gathered from the graph, not a screenshot.
See it in action
Watch a bug become a pull request.
The live demo is a public, open-source web store running the Redzam widget. Report a bug or request a change, and watch the agent reason over the graph and open a real PR.
Built with
A pipeline of exact tools and one reasoning engine.
SWC does the mechanical work — exact line numbers and symbols. Gemini handles only semantic understanding. Line numbers come from the parser, not the model.