Your codebase is leaking quality.
Find out where.
We analyze your PR history to find recurring bug patterns, then help you fix them. Diagnosis, remediation plan, implementation, monitoring.
30 min intro — we'll show you what we find in your repo.
The problem
You have the tools. You don't have the diagnosis.
Linters, type checkers, CI pipelines, code review bots — your team already runs dozens of dev tools. But none of them tell you which recurring issues are actually worth fixing, or how much they cost you every sprint.
Tools catch symptoms, not patterns
Your linter flags a missing null check. But it doesn't tell you that null-handling bugs account for 30% of your fixes this quarter — or that contract tests would eliminate them.
Same bugs keep shipping
Format handling, state sync, edge cases — the same bug types recur across different files and engineers. The tools you have don't connect the dots.
Nobody has time to figure out which fix matters
Property-based testing, contract tests, payload validation — the solutions exist. But knowing which one to adopt, where, and why? That takes an analysis nobody has bandwidth for.
How it works
Diagnose. Prescribe. Fix. Verify.
Diagnose
We analyze your PR history. Where bugs cluster, what types recur, fix ratio trends. All from your GitHub data.
Prescribe
An expert reviews the diagnosis and creates a remediation plan specific to your stack, your CI, your team structure.
Implement
We open PRs with test infrastructure, CI config, and example tests. We pair with your engineers to set it up.
Monitor
Track whether interventions worked. Fix ratios, revert rates, pattern recurrence. See the before and after.
Example output
What the scan reveals
Real analysis from a public repository. Your report will look like this.
Who this is for
Built for teams that ship fast and break things
Engineering Managers
You know quality is slipping but can't articulate why. Sprint velocity is down. Bug reports are up. You need data to make the case for investing in quality.
"We spend half our sprints on bug fixes but I can't prove it to leadership."
Staff & Principal Engineers
You see the systemic patterns. You know contract tests would fix it. But between feature work and on-call, there's no time to set up the infrastructure.
"I've been meaning to add property-based tests for six months."
CTOs at 20-100 eng orgs
Bug cost is high but you don't have a dedicated quality or platform team. You need someone who can diagnose, implement, and measure — not just advise.
"We can't afford a quality team, but we can't afford not to have one."