Test Planning as Code, Built for the Agentic Era

Test Planning as Code, Built for the Agentic Era

Test Planning Built For
the Agentic Era

If youโ€™re building with agents, your planning workflow shouldnโ€™t fight them.

If youโ€™re building with agents, your planning workflow shouldnโ€™t fight them.

If youโ€™re building with agents, your planning workflow shouldnโ€™t fight them.

TestChimp test planning view with a folder tree of stories and scenarios and a user story open

Test Plans

as Docs in Code

Agents work best with plain text files in source control; not DB-centric, form-driven tools.

Test Plans

as Docs in Code

Agents work best with plain text files in source control; not DB-centric, form-driven tools.

Test Plans

as Docs in Code

Agents work best with plain text files in source control; not DB-centric, form-driven tools.

In TestChimp, user stories and test scenarios live as structured .md files, making them:

In TestChimp, user stories and test scenarios live as structured .md files, making them:

Agents work best with plain text files in source control; not DB-centric, form-driven tools. In TestChimp, user stories and test scenarios live as structured .md files, making them:

Version-controlled alongside your code

Readable and editable by humans

Directly consumable by AI Agents

A test scenario as markdown with metadata and steps, and a Sync to Git button
A test scenario as markdown with metadata and steps, and a Sync to Git button

Organised Like Code, Not Tickets

Stories and scenarios live in folders, just like source code - giving teams and agents shared structure, scalable organisation, and contextual insights at every level of the product.

Stories and scenarios live in folders, just like source code - giving teams and agents shared structure, scalable organisation, and contextual insights at every level of the product.

stories

auth

purchase flows

pay-with-credit

add-to-cart

scenarios

happy path

payment-success

Author Stories and Scenarios with AI

Using your existing plans, structure, and scripts as context, TestChimp helps draft stories, expand scenarios, and explore what to test - turning intent into executable plans faster.

Using your existing plans, structure, and scripts as context, TestChimp helps draft stories, expand scenarios, and explore what to test - turning intent into executable plans faster.

Generatingโ€ฆ

Write For Me


Generatingโ€ฆ

Write For Me


Generatingโ€ฆ

Write For Me


Human-Friendly Workflows on Top

While test plans live as files and power agents behind the scenes, TestChimp layers intuitive workflows for day-to-day collaboration - so teams get structure without sacrificing usability.

A story in test planning with a status dropdown: draft, ready, in progress, blocked, done, archived
A story in test planning with a status dropdown: draft, ready, in progress, blocked, done, archived

Frequently Asked Questions

How does TestChimp compare with Jira / Linear for test planning?

TestChimp is not a general issue tracker like Jira or Linear; It is a "Docs as Code" approach for test planning that is more agent-friendly as plans become available in your repo, organized in folders. TestChimp natively consolidates test authoring, execution, exploratory testing and ties them back to your plans, enabling deeper QA intelligence.

What makes this different from Xray or Zephyr?

Tools like Xray and Zephyr require form-based issue linking, whereas TestChimp uses annotation comments directly in test code that is agent friendly, and unifies planning with real execution data - including attributing exploratory bugs back to scenarios.

How does TestChimp connect plans to tests?

Scenarios are linked in test code using annotation comments (// @scenario), allowing executions, and regressions to map automatically back to the original plan. Since linking is done directly on code, coding agents can easily do the linking. This removes the need for manually maintained spreadsheets and disconnected systems.

How are UX bugs traced back to test scenarios?

Yes โ€” in TestChimp, exploratory agents run based on existing functional tests (where the agent walks through the path and captures UX bugs). Since test to scenario mappings already exist, the bugs found by the exploratory agents are mapped to the scenarios they affect, enabling non-functional bug attribution back to your plans.

Can I import my existing stories and scenarios from Jira?

Yes - user stories and test scenarios in Jira can be imported to bootstrap your planning layer without recreating everything. You can also import TestRail test cases as scenarios, and Linear issues as stories.

How do test plans get synced to the code repo?

You can map an existing folder in your repo for stories and scenarios. Sync is bi-directional. Use "Sync to Git Repo" in the Test Planning Import/Export menu to raise a pull request with your plan changes. Commits to the mapped plans folder are pulled back into TestChimp through repository webhooks, and plans stay on the default branch.

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