AI is shipping bugs straight to production.
A 4-week embedded sprint. We work in your repos, find why the bugs get through, and build the safety net that stops them. All measured.
Founder-led · one company per segment · by the team behind Kodus open source
Engineering teams that trust Kodus
The bugs are getting past your checks.
Code ships faster. Then it breaks in prod. 81% of engineering leaders report more production incidents from AI code, even after it passed every check.
The bug doesn't show up in review. It shows up in prod.
// is AI breaking prod? check what's true
0/7—
A 4-week embedded sprint to stop AI bugs reaching production.
We embed in the repos where AI writes most, find what breaks, and build the safety net that stops it, with your team. Shipped and measured.
Fewer bugs in production, shipped and measured.
One outcome: fewer AI bugs reaching prod. Whatever gets there ships in your repos, measured. Every engagement leaves the same three proofs.
It ships as codeThe gap is closedWhatever the diagnosis finds, we build it with your team and merge it into your repos.
It's measuredThe number that movedA baseline in week 1 and the delta in week 4: escaped bugs, change-failure, incident rate.
It outlives usYour team runs itThe safety net is theirs to keep catching bugs, with a leadership readout and the plan for the next team or repos.
What we build is set in week 1. It's usually one or two of: tests on the risky paths · e2e on critical flows · CI gates that catch real defects · review tuned to real bugs · ownership of AI changes. One or two, done deep.
Exactly what the 4 weeks look like
We read the selected repos (recent PRs, incidents, bugs, test signal, CI behavior) and interview the team on what keeps breaking.
- Escaped-bug baseline
- Top safety-net gaps
- Agreed sprint focus
Together we design the safety net for the chosen gap: what to add, who owns it, how it gets measured.
- Safety-net proposal
- Measurement plan
- Owner responsibilities
- Rollout plan
We build it with the team (tests, e2e, CI gates, review, ownership), whatever the diagnosis called for.
- Safety net shipped
- First signal readout
- Team-owner feedback
We measure the delta and present the leadership readout: what moved, what becomes product or process, where to roll out next.
- Before/after readout
- Rollout recommendation
- Next-step plan
Built for teams where AI is starting to break production.
Good fit
- 30+ engineers, or a high-throughput product team.
- Multiple teams or repositories.
- Active use of Cursor, Copilot, Claude Code, Codex, Devin or internal agents.
- More incidents, escaped bugs or hotfixes since AI usage grew.
- An engineering leader who owns delivery quality.
Poor fit
- Very small teams.
- Teams with no engineering leadership sponsor.
- Companies looking for cheap implementation labor.
- Buyers who only want a tool installed.
- Teams wanting fully autonomous merge with no humans.
We work where AI bugs slip through.
We build Kodus, open source AI code review, so we see where bad AI code slips past teams every day. The sprint puts that on your safety net. No workshop, no product to buy.
No tool to buy
The outcome is fewer bugs in prod, not a license. If our review layer helps, good. It's one lever, never the pitch.
15+ years in the room
Building software and advising engineering teams, combined across the founders.
Benchmark-grade agents
The review agents we build rank near the top of public code-quality benchmarks.
Bring the repos where AI keeps breaking things.
One team or 3 to 5 repositories. We'll find why the bugs get through, build the safety net that stops them, and leave you the before-and-after.
Founder-led · one company per segment · we reply within one business day.
Questions before you bring a team in
No. The sprint starts from your repos and your incidents. The fix might be tests, CI gates, e2e, review or ownership. Whatever week 1 shows is letting bugs through. A tool is at most one lever.
No. We build Kodus, but the sprint sells an outcome (fewer bugs in production), not a product. Sometimes our review layer is one of the levers; often it isn't the main one. Nothing here locks you into buying anything.
The recommended scope is one engineering team, one business unit or 3 to 5 repositories.
A real before/after on escaped defects, change-failure or incident rate in the selected scope, plus the safety net shipped and owned by your team. We agree the exact metric in week 1.
You keep the safety net and the measurement, running in your repos. If it's a fit, we scope the next team or repositories.
It's a fixed-price sprint, scoped to one team or up to 5 repositories. We share the number on the first call, once we know what you are dealing with.