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For founders

Your AI-built app has no tests. Where do you start?

Your app was built with an AI coding tool, it works, and nothing checks it. Chasing a coverage number is the wrong start. A senior engineer lists the journeys that cost you money or users if they break, covers those end to end and makes them run on every pull request. The same work usually finds the next problems: checks so slow that people skip them, and screens that are fast with demo data and slow with real customers.

03 · experts matched 43 cases across their profiles Contracted through Invental Request a review ↗
Lead match
Code review · Arch. review · Arch. design · Vibe-code rescue · Mentoring

Frontend and test-strategy engineer who puts guardrails around coding agents

Best for: solo founders with an AI-built React / Next.js app and no tests · seed startups whose dashboards slow down as customers add data · teams adopting coding agents who want checks, not hope.

View profile →
Lead match · 01 close to ten years in frontend engineering
— Also matched for this
engineering leader and principal-level JavaScript / TypeScript architect

AI-assisted development and JavaScript architecture lead

Best for: teams adopting AI coding agents who want quality to hold · JS/TS scale-ups with growing architecture debt · founders with an AI-built app that needs a senior review · corporate teams training engineers in TDD.

Code review, Arch. review +4View profile →
staff / lead-level full-stack engineer

AI-native staff engineer

Best for: solo founders and seed startups adopting AI coding tools; small SaaS teams preparing for SOC 2 / ISO 27001; teams migrating a Vue front end to Next.js; companies that want juniors coached by someone who teaches..

Code review, Arch. review +4View profile →

From our experts

Selected cases from these experts’ profiles.

An AI-built app with zero tests: what to cover first

A founder's React / Next.js app was built with an AI coding tool and has no tests. The expert lists the 5–10 journeys that cost money or users if they break, writes end-to-end tests for those first and makes them run on every pull request, before any new features.

You get

A short test plan, the first test suite and a CI check in the founder's repository.

Bookable · Vibe-code rescue · Architecture designwhatever the founder used (often Next.js, Supabase and a payment provider) + Playwright

A test strategy nobody asked for, and why it paid off

The product had tests, but no one could say which important flows they protected. On their own initiative, one of our experts listed the critical user scenarios, built a coverage map that updates itself as tests change, and filled the gaps. Critical scenarios covered went from under half to nearly all, and the full end-to-end suite runs on every pull request.

Track record · B2B software · venture-backed startupPlaywright, Vitest, Storybook, GitHub Actions

A coding agent with deterministic gates around it

Coding agents wrote useful code but decided on their own when they were done. One of our experts built a ticket-to-pull-request workflow where the agent works in phases, and each phase passes fixed gates before the next: lint rules, hooks, scripts that check the specific change, a model chosen per phase, and a browser check of the ticket's acceptance criteria. They audit which agent instructions actually help by reading the agents' transcripts.

Track record · B2B software · venture-backed startupClaude Code (skills, subagents, hooks), Playwright, lint rules, CI

A dashboard that took a minute to load, now under a second

Customers with a few thousand items saw the home page take about a minute to load, and the browser used several hundred megabytes of memory. One of our experts rendered only the rows on screen (virtualization) and sent the data requests in parallel instead of one after another. The home page now opens in under a second, with memory use cut by about 80%.

Track record · B2B software · venture-backed startupReact, TypeScript, TanStack Virtual, TanStack Query

Continuous integration from half an hour to a few minutes

Slow checks made developers wait or skip them. One of our experts cut the unit-test job from about half an hour to a few minutes, halved the end-to-end check and replaced the linter with a much faster one, so every pull request gets the full set of checks without a long wait.

Track record · B2B software · venture-backed startupGitHub Actions, Vitest, Playwright, Nx

Test-first workflow for a team adopting AI coding agents

A team started using AI coding agents, shipped faster for a month, and now regressions are rising. The expert sets up a test-first loop (spec, failing unit tests, agent implementation, review gate), shows the team how to write tests that catch hallucinated behaviour, and reviews the first PRs under the new process.

You get

A written workflow, test conventions and coached PRs.

Bookable · Team mentoring · Architecture designTypeScript / JavaScript, unit-testing tooling, LLM coding agents

Questions buyers ask

How many tests does an AI-built app need first?+
Fewer than you think. Start with the handful of journeys that lose money or users if they break, such as sign-up, checkout and the main daily action, and test them end to end in a real browser. Make them run on every pull request before adding features. Wider coverage can come later, once the important paths can't break silently.
Can a coding agent write the tests itself?+
It can draft them, but it shouldn't decide what matters or when it is done. A person picks the journeys and the acceptance criteria, the agent writes tests against them, and automatic checks decide whether a change passes. Otherwise an agent can write tests that pass because they check nothing.
My app was built with an AI coding tool and has no tests. Where do I start?+
Not with a coverage number. List the user journeys that cost you money or users if they break (sign-up, checkout, the main daily action) and cover those end to end first, running on every pull request. One of Invental's experts set up a test strategy this way on a production product: critical journeys went from under half covered to nearly all, with the full end-to-end suite running on every change.

How it works

  1. Tell us what you need — the repo or system, the question, and the deadline.
  2. We match an expert to your code or system, with a second reviewer where it helps.
  3. Scoped work, contracted through Invental — review per pull request, a fixed-scope audit or architecture review, or ongoing capacity.

— Invental · software studio · Montevideo, UY

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