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Capture intent

Test plans that live in your repo.

In TestChimp, stories and scenarios are Markdown files in your repo, organised in folders like code. Agents read them directly, people review them in pull requests, and a board on top keeps planning easy for the whole team.

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14 days, no credit card. Import from Jira, Linear or TestRail.

Test planning as code: a story in Markdown read by Claude Code and reviewed by Priya, coverage rolled up by folder, and a plans board synced to git.

Problem

Your agents can’t read your test plans.

Plans kept as Jira or Linear tickets live behind forms and APIs. Agents get a fragment of the context if they get any, the plan drifts away from the code, and nobody can see what changed in a requirement, or when.

Planning built for the way agents work.

Agents work best with plain text in source control, not database-backed forms. So that is where TestChimp keeps the plan, with the workflows people need layered on top.

  1. Plans as files

    Readable by people and agents.

    Stories and scenarios are structured .md files, versioned alongside your code.

    Markdown in your repo

  2. Organised like code

    Folders, not tickets.

    A folder tree gives teams and agents a shared structure, with coverage at every level.

    Coverage at every level

  3. Human-friendly on top

    Workflows people enjoy.

    A board, drafts and AI-assisted authoring, synced both ways with the repo.

    Bi-directional git sync

The plan, where the code is.

Plans as Markdown, versioned with the code

Each story is a structured Markdown file with its scenarios. It is versioned with the code, readable and editable by people, and read directly by your coding agent. Tests link to scenarios through one annotation in the test file, so traceability lives in code your agent can maintain.

plans/stories/checkout/promo-stacking.md with its scenarios, read by Claude Code, reviewed by Priya and versioned in git.

Organised like code, not tickets

Stories and scenarios live in folders, like source code. Coverage and insights roll up at every level: a story, an area of the product or the whole thing, aligned with how your team is organised.

Requirement coverage rolled up by folder: checkout at 93%, refunds at 58% with store-credit.md at 25%.

Human-friendly workflows on top

Plan on a board, draft stories and scenarios with AI using your existing plans and scripts as context, and import what you already have. Changes sync both ways: TestChimp raises a pull request for plan edits, and commits to the plans folder flow back through webhooks.

  • Import from Jira, Linear and TestRail.
  • Pull requests for plan changes.
  • Commits to plans/ synced back automatically.
TestChimp plans view: promo-stacking.md appears line by line as Claude Code reads it, then shrinks onto a board and moves from Draft to In progress.

Tickets or files?

Issue trackers are good at tracking work. They were not built to hold the product’s intent where agents can use it.

Ways of keeping test plans compared with test planning as code
Jira or Linear ticketsTest case managersPlans as code in TestChimp
Full product context readable by coding agentsNoNoYes
Versioned and auditable in gitNoNoYes
Reviewed in pull requests with the codeNoNoYes
Folder tree with coverage rolled upPartlyPartlyYes
Linked to tests from the test codeNoPartlyYes
Human-friendly lifecycle: board, drafts, ownersYesYesYes

Test case managers: TestRail, Xray, Zephyr and similar tools.

Questions about planning as code.

How does this compare with Jira or Linear?
TestChimp is not a general issue tracker. It keeps test plans as documents in your repo, organised in folders, which agents can read directly, and ties authoring, execution and exploratory findings back to those plans.
What makes this different from Xray or Zephyr?
Those tools link tests to issues through forms. TestChimp links them with an annotation in the test code, which agents can write and maintain, and joins planning with real execution data.
How are plans connected to tests?
Each test carries a scenario annotation. Executions, failures and regressions then map back to the plan automatically, without spreadsheets.
Can I import from Jira, Linear or TestRail?
Yes. Import stories and scenarios from Jira, TestRail test cases as scenarios, and Linear issues as stories.
How do plans sync with the repo?
Map a folder in your repo for stories and scenarios. Sync is bi-directional: TestChimp raises a pull request for plan changes, and commits to the mapped folder are pulled back through repository webhooks.
TestChimp mascot at the desk, facing camera, dual monitors with code behind.

Give your agents the whole product, not a ticket.

Map a plans folder, import what you have, and your agents read the plan from day one.

Start free trialRequest a demo

14 days, no credit card.