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Release confidence for agent-driven teams.

Your agents write the code and the tests. TestChimp monitors your QA posture, runs a feedback loop that keeps your agents closing the gaps, and shows you release health before you ship.

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14 days, no credit card. Works with any coding agent.

Releases shipped with TestChimp
1,100+
Test scenarios managed
15,700+
Test executions tracked
230,000+

More tests.Yet less confidence.

Agents now write the code and the tests. Despite large suites, teams lack visibility into gaps in testing, which tests can be trusted, and whether a release is good to go. TestChimp monitors your QA posture and runs a feedback loop with your agents, so QA keeps up as your product evolves.

Four things you always know.

TestChimp runs a closed loop between what your product should do, what your tests prove and what your agents fix. Every turn of the loop keeps four answers current.

  1. Know what’s intended.

    Stories and scenarios live as Markdown in your repo, where agents read them and people review them. MeetBots capture decisions from your calls, and AgentWatch picks up requirement changes from your coding-agent sessions.

    Test planning as codeMeetBotsAgentWatch

    TestChimp plans view: promo-stacking.md appears line by line as Claude Code reads it, then shrinks onto a board and moves Draft to In progress.

  2. Know what’s tested.

    TestChimp measures your QA posture three ways: semantic coverage of your requirements, API schema coverage from the payloads your tests produce, and TrueCoverage against how real users behave. ExploreChimp walks the app along your tests and flags UX issues.

    Meaningful coverageUX posture

    TestChimp posture for acme-shop: a semantic canvas circles untested scenarios, then an API field tree and a TrueCoverage funnel each mark tested vs untested.

  3. Know what’s missing.

    When you cut a release, /testchimp create release ranks the gaps in your QA posture by risk and hands them to your agents to close, starting with what your users and production depend on.

    Agent orchestration

    Release 2.14 created in TestChimp: Claude Code runs /testchimp upkeep, finds #TS-188 Refund to store credit, writes promo-stacking.spec.ts, and the gap turns covered.

  4. Know it’s ready.

    The same command runs the suite, the performance and security checks and the UX walks, and TestChimp shows the release’s QA posture in one view, with each test’s verification status, including the ones an agent has changed since a person verified them. You sign off on evidence, not hope.

    Release governanceVerified tests

    Release 2.14 health in TestChimp: one verified test turns stale after Claude Code edits it, and Priya is asked to re-verify.

Your whole QA process, down to two commands.

Install the TestChimp skill and MCP in the coding agent you already use. Planning, authoring, measuring and release checks then run behind two commands.

After every feature branch

/testchimp run QA

Updates the plans for what changed, writes traceable tests against them, and runs UX checks with ExploreChimp.

Before every release

/testchimp create release

Creates the release, closes the gaps that matter most, runs the suite, the performance and security checks and the UX walks, and shows the release’s QA posture.

Plain Playwright, instrumented for measurement.

When your agent writes tests with the TestChimp skill, it instruments them so your QA posture becomes measurable. Tests stay in your repo, running anywhere Playwright runs.

tests/checkout/promo-stacking.spec.tswritten by your agent with the TestChimp skill
import { test, expect } from '@testchimp/playwright'; test('stacks a promo code with a gift card', {  annotation: [{ type: 'scenario', description: '#TS-142' }],}, async ({ page, markScreenState }) => {  await page.goto('/cart');  await page.getByLabel('Promo code').fill('SPRING10');  await page.getByRole('button', { name: 'Apply' }).click();  await markScreenState('Cart', 'Promo applied');  await expect(page.getByTestId('total')).toHaveText('$81.00');});
  • Line 1The TestChimp fixtureCaptures API payloads and tags user events around the test: API schema coverage and TrueCoverage
  • Line 4A scenario annotationLinks the test to scenario #TS-142 for requirement coverage
  • Line 9markScreenStateMarks the screen for ExploreChimp and Atlas

Works with any coding agent that takes a skill and MCP, including Claude Code, Cursor, Codex, Kiro and GitHub Copilot.

You steer. Agents do the work.

People decide what the product should do and when it ships. Agents do the testing in between. TestChimp gives you the controls to steer them and the record to trust them.

  1. Accountability

    A person verifies the tests that matter, and the badge stays with the test. When an agent later edits a verified test, TestChimp marks it stale and asks the original verifier to check it again. Release views show every test’s verification status, stale ones included.

    Verified tests

  2. Gap governance

    Every gap is known and handled. Ignore it to cut the noise, create a test to close it, or open an issue to track it for later.

  3. Manual testing in the release

    Capture manual sessions with evidence from the Chrome extension or TestChimp Studio. The results sit beside your automated runs in the same release.

  4. Issue management

    Review and audit what ExploreChimp, security scans and performance tests report, without another platform for issues.

  5. Push releases with confidence

    Every release gets one view of its whole QA posture: functional runs with their verification status, UX findings, performance against the last release, security scans and manual sessions. You push the release on evidence, functional and non-functional, not on a green build alone.

    Release governance

A fintech startup reached 99% coverage in six weeks.

They connected TestChimp to their repo and their agents, covered more than 1,100 scenarios, and have held coverage at that level for months since.

Trusted by 400+ startups and enterprises

  • OpenSolar
  • JRC Software
  • ennobler
  • Newton Russell
  • FindMyHelp

One platform, built around the loop.

Capture intent

What the product should do, kept in the repo.

Measure posture

What is tested, how well, and what is missing.

The agentic loop

Your agents close the gaps the posture reveals.

Ship with confidence

Evidence a person can sign off on.

Questions developers ask first.

Claude can already write tests. Why do I need TestChimp?
Writing tests is the easy part now. Knowing what they cover, which ones matter, whether a person has checked them and what is still missing is the hard part. TestChimp gives your agent the product context and a measured QA posture to write the right tests, and gives you the governance to trust them.
Which coding agents does TestChimp work with?
Any agent that takes a skill and MCP: Claude Code, Cursor, Codex, Kiro, GitHub Copilot and others. Install both once, and your agent can run /testchimp run QA and /testchimp create release.
Do you support mobile apps, or only the web?
Both. A project is Web, Mobile or Multi-Platform. Web projects use Playwright. Mobile projects test native iOS and Android apps with Mobilewright, a Playwright-style toolchain. Multi-Platform projects keep web, iOS and Android tests in one repo, share the setup code between them, and slice coverage and UX findings by platform. Requirement coverage, TrueCoverage, the QA workflows and ExploreChimp all work on mobile; Smart Steps are web-only for now.
Am I locked in?
No. Your tests are plain Playwright in your repo and run anywhere Playwright runs. The TestChimp skill makes sure they are written with instrumentation (a scenario annotation, the TestChimp fixture and screen-state markers) so your QA posture can be measured.
Where do my plans and tests live?
In your repo. Stories and scenarios are Markdown files and tests are Playwright specs, versioned and reviewed with your code. TestChimp reads them and reports on them.
We already have QA engineers. Where does TestChimp fit?
Alongside them. Your QA engineers set the intent and the policies, review and verify what agents write, and govern the gaps, while agents do the repetitive work. Teams without a QA function get the same loop from day one.
How is this different from TestRail, Momentic or QA Wolf?
Test management tools track cases people write. AI testers write tests for you. TestChimp monitors what your tests actually cover and runs the loop that has your own agents close the gaps, with the evidence kept for every release.
What does it cost to try?
Nothing for 14 days, and no credit card. Plans are on the pricing page.
TestChimp mascot at the desk, facing camera, dual monitors with code behind.

Your agents can write tests. The chimp makes sure they’re the right ones.

Set up in one session. After that, QA is two commands.

Start free trialRequest a demo

14 days, no credit card.