Kleio

Use case

Did this PR just refactor,
or did it subtly change behavior?

You can read every line of a PR and still not know if it's safe. Kleio validates changes against your team's decision history.

The cost of blind reviews

  • PR review is becoming less reliable as a source of truth — reviewers skim, focus on blast radius, or delegate entirely to AI.
  • AI-generated PRs are verbose but lack reasoning. The diff tells you what changed, not whether it should have changed.
  • Architecture drift happens gradually — one PR at a time — and nobody catches it until it's systemic.
  • Reviewers don't have access to the decisions that led to the code they're reviewing. Context is scattered across Slack, meetings, and old PRs.
  • LGTM by Claude. The era of meaningful code review is eroding.

How Kleio helps

Decision-aware PR analysis

kleio check validates PR diffs against prior decisions, checkpoints, and known incidents — surfacing conflicts before they merge.

Architecture drift detection

When a PR contradicts an established decision or introduces patterns inconsistent with the codebase's history, Kleio flags it.

Contextual PR comments

Instead of generic lint noise, Kleio provides comments grounded in your team's actual decision trail — the kind of context human reviewers used to provide.

Works with your existing review flow

Integrates as a GitHub App. No changes to your merge process — Kleio adds context alongside your existing reviewers and CI checks.

See it in action

An agent plans a migration. Kleio captures every signal along the way.

Agent Plan

Task: Migrate auth from Firebase to Clerk

  • 1.Scaffold Clerk provider and session hooks
  • 2.Replace Firebase login/signup flows
  • 3.Update API middleware for Clerk JWT validation

Press Build to run the capture demo.

Your AI agents already make decisions. Kleio makes sure they're remembered. Try it free →

Ready to try Kleio?

Start free, connect your workspace, and stop losing the \u201cwhy.\u201d