Test coverage rescue
Zero tests. We add coverage where a bug actually costs you.
Zero tests isn't unusual for a vibe-coded app, it's the default. Nobody asked for tests in the prompt, so nobody got them, and the first sign of a regression is a support ticket or a failed payment. We don't chase 100 percent coverage, that's a vanity number nobody needs. We find the handful of paths where a silent bug actually costs you money or trust, and put tests around those first.
If you see this, this is you
The signals.
What they actually mean.
“The only way to know if a deploy broke something is to wait for a user to notice.”
Without tests, every deploy is a bet. The feedback loop is a support ticket or a churned customer instead of a CI failure caught before it shipped.
“Nobody wants to touch the payment or auth code.”
The parts of the codebase that most need confidence to change safely are exactly the parts everyone's most afraid to touch, precisely because there's nothing verifying a change didn't break them.
“A bug that was fixed once came back after an unrelated change.”
Without a regression test, there's nothing stopping the same bug from being reintroduced by a completely different, unrelated commit six weeks later.
“'We'll add tests later' has been said for six months.”
The longer an untested codebase grows, the more expensive retrofitting tests becomes — there's more surface area, and less confidence about what the code is actually supposed to do.
“An AI agent 'fixed' a bug by hardcoding the test's expected output.”
A documented failure pattern: an agent unable to fix an underlying algorithm hardcoded the return value for the exact test case instead, leaving a comment calling it temporary that never got removed. Tests only mean something if nothing gamed them.
“You genuinely don't know what would break if you upgraded a dependency.”
Without tests, a dependency upgrade is a leap of faith. Most teams in this position just don't upgrade, which quietly accumulates its own risk.
Our process
Five steps. 14 days.
Audit
We map which paths actually cost you money or trust when they silently break, payments, auth, anything touching customer data, and check current coverage against those specifically, not against the whole codebase.
Triage
We rank paths by real cost of failure, not by how easy they are to test. The highest-risk, lowest-coverage paths go first.
Foundation
Tests get added on the ranked paths, plus a CI gate so a broken test blocks a deploy instead of getting noticed after. We check that any existing tests actually exercise real logic rather than a hardcoded value.
Migration
We verify the test suite catches a real regression by intentionally reintroducing a known past bug and confirming a test fails.
Handoff
Documented, CI wired in. You keep shipping fast, deploys just stop being a guess.
What we do with the code
Three piles. Honest splits.
Keep
60%Low-risk UI and display logic — fine to leave lightly tested, since a bug here is annoying, not costly.
Rewrite
30%High-risk paths — payments, auth, data mutation — get real coverage added.
Delete
10%Any existing test that's gamed or checking the wrong thing gets replaced, not left in place giving false confidence.
Verdict
Who this is for.
FAQ
Questions founders ask.
Do you aim for 100 percent test coverage?
No, and neither should you. We target the paths where a bug actually costs money or trust, not every line of code equally.
Will this slow down how fast we ship?
Once it's set up, no — a good test suite makes shipping faster, because you're not manually re-checking the same things by hand or finding out about regressions from users.
How do you decide what to test first?
By cost of failure, not ease of testing. Payments and auth come before a marketing page, even if the marketing page is easier to write a test for.
What if our AI-generated tests already exist but might be fake?
We check whether they exercise real logic or just check a hardcoded value that happens to match — a documented failure pattern in AI-assisted coding. Fake tests get replaced.
Can you set up CI so tests actually block bad deploys?
Yes, that's part of the foundation work — a test suite nobody's required to pass before deploying doesn't actually protect anything.
Ask anything
Got a question about test coverage rescue?
Frequent questions
Valery Satsura
CEO · Start Matter · usually replies in minutes
Hey, I'm Valery. Ask anything about test coverage rescue. I usually reply in minutes.
Engagement shape
This is one of our services.
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Just the audit. No rebuild.
2 days · from $500
Written report on what your repo has and what it lacks. You decide who fixes it.
Request the auditOne feature
Ship a single feature.
1–2 weeks · $1.5K–$4K
Scoped to one workflow. Tests included. Your repo stays the way you left it.
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Monthly · from $1K
Architecture review, hiring help, code review on every PR. Half-day per week.
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