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.

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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.

012 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.

021 day

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.

035–8 days

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.

042–3 days

Migration

We verify the test suite catches a real regression by intentionally reintroducing a known past bug and confirming a test fails.

051 day

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.

Full test coverage is a myth nobody needs and few teams actually have, even mature ones. What every team needs is coverage on the handful of paths where a silent bug costs real money or trust, a payment that silently fails, an auth check that silently lets the wrong person through. We don't chase a coverage percentage. We rank your paths by what a bug there actually costs you, and test those first. That's usually a small fraction of the codebase and a meaningfully smaller engagement than "test everything." If you already have CI gating deploys on your highest-risk paths, you probably don't need us. If a deploy is still a guess and the only alerting system is a confused user's screenshot, that's exactly the gap this closes.

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

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.

Same engagement, on the services index: Vibe Code Rescue from $500. Quote in 24 hours, audit free for 48 hours.

Other ways we engage

Not ready for a full rescue?
Start smaller.

Vibe-coded rescue

Your AI-built MVP is breaking. We rebuild without throwing it away.

14 days · $500–$12.5K

Read the scenario

Agency transfer

Your dev team stopped shipping. We pick up where they failed.

14 days · $500–$15K

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Lovable rescue

Lovable shipped fast. We fix what's actually broken underneath.

14 days · $500–$12.5K

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Bolt.new rescue

Bolt shipped it in the browser. We fix what breaks outside it.

14 days · $500–$12.5K

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Replit Agent rescue

Replit Agent built it fast. We fix what it broke along the way.

14 days · $500–$12.5K

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Cursor rescue

Cursor moved fast in your codebase. We check what it moved.

14 days · $500–$12.5K

Read the scenario

v0 rescue

v0 built the UI. We build what it was never meant to.

14 days · $500–$12.5K

Read the scenario

Claude Code rescue

Claude Code followed most of your rules. We fix the rest.

14 days · $500–$12.5K

Read the scenario

Windsurf rescue

Windsurf doesn't exist anymore. The codebase it built still does.

14 days · $500–$12.5K

Read the scenario

Crash rescue

Your app keeps crashing. We find why, not just where.

14 days · $500–$12.5K

Read the scenario

Feature-velocity rescue

Every new feature breaks three old ones. We untangle why.

14 days · $500–$12.5K

Read the scenario

Database rescue

Your database is a mess. We fix it without losing data.

14 days · $500–$12.5K

Read the scenario

Payments rescue

Stripe payments are broken. Usually it's the webhook layer.

10 days · $500–$8K

Read the scenario

Cost rescue

Your bill tripled and nobody knows why. We find the leak.

7 days · $500–$6K

Read the scenario

48-hour audit

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 audit

One 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.

Scope the feature

Fractional CTO

A senior in the room.

Monthly · from $1K

Architecture review, hiring help, code review on every PR. Half-day per week.

Start a conversation

Send us the repo.
We reply in 48 hours.

Read-only GitHub access is fine. One-page audit comes back inside two days. No charge for the audit.

Get a flat-price quote for No Tests — We Add Coverage Where It Actually Matters

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