AI Code Review for Evidence-Checked AI Code

The problem

Fast generation is not the hard part

Generating code is now cheap. Proving it is correct is still engineering work. A single AI response gives you confidence without a trust trail — exactly what a reviewer cannot merge on.

How it works

How Undes evidence-checks AI-generated work

Undes coordinates multiple agents through a structured review, then produces one evidence-checked candidate instead of a single opinion.

EvidenceFiles inspected, commands and tests run, facts gathered.

CritiqueA devil's-advocate pass challenges the proposed change.

AssumptionsWhat the answer takes for granted, made explicit.

ConsensusIndependent agents reconcile into a verdict.

Rejected hypothesesAlternatives considered and ruled out.

Open checksRisks and missing evidence left for human review.

Try it

Run a review on a real change

Terminal

npm install -g @undes.ai/cli
cd your-project
undes run "Review this pull request for risky assumptions, missing tests, and unsafe architectural changes."

Tip: ask Undes to verify a concrete engineering concern, not to generate generic advice.

FAQ

Common questions

Is Undes another coding assistant?

Undes does generate candidate engineering work, but it is not just a code generator. Its value is the evidence check around that candidate: files inspected, critique, assumptions, open checks, and a conservative verdict before merge.

Does it replace my reviewers?

No. It gives reviewers a structured artifact so review is faster and the evidence, assumptions, and open checks are already surfaced.

Can I use my own model keys?

Yes. Undes is BYOK-first. Community supports OpenAI, Anthropic, and Google; Pro adds OpenRouter, NVIDIA NIM, and local model servers.

Review evidence-checked AI code before merge.

Fast generation is not the hard part

How Undes evidence-checks AI-generated work

Run a review on a real change

Common questions

Make AI coding work evidence-checked.