TestChimp

Context-Driven QA for Agentic Teams.

Ensure your QA is properly covering what matters to your business. Push releases with confidence.

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1200

Hours Saved
Per Month

10X0X

Faster
Authoring

80%0%

More
Coverage

$450K$0K

Annual
Savings

How It Works

Agent friendly Requirements

• User stories and scenarios — managed as specs in your codebase

• Agents get full product context for accurate execution

• Ensure agent-readiness of specs with DeFOSPAM checks

Agentic QA workflows throughout SDLC

Agentic QA workflows

• Run 12+ QA workflows at key SDLC points

• Run locally with humans in the loop

• Run on cloud agents for autonomous fixes on triggers

• Keep policy and agent traceability for every action

• Run 12+ QA workflows at key SDLC points

• Run locally for interactivity or via cloud agents on event triggers

• Policy and Action traceability for every action

QA Governance — built for agentic era

QA Governance - for agentic era

• Spec aligned Coverage transparency with verification evidence

• Run UX checks, security scans agentically - before each release

• Feed QA insights back to agents for iteration

• Enforce agent authoring with spec traceability

• Execute UX checks and security scans agentically

• Make coverage transparent with verification evidence

• Feed QA insights back to agents for iteration

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Test Planning

For the Agentic Era

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

Test Planning

For the Agentic Era

Test Planning

For the Agentic Era

In TestChimp, user stories and test scenarios live as structured .md specs, 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:

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

Version-controlled alongside your code

Readable and editable by humans

Directly consumable by AI Agents

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Ensure Specs are Agent-Ready

Ambiguous, incomplete or untestable requirements lead to agents hallucinating and filling the gaps - resulting in poor agent execution.

Run DeFOSPAM checks to ensure agent-readiness

Track & govern spec quality, apply fixes with one-click

Track & govern spec quality, apply fixes with 1-click

Quality requirements in -> Quality output

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Human Friendly Lifecycle Management

Get the familiar Jira-like lifecycle management - on top of your specs.

Kanban boards, Folder based views for easier organization
Manage due dates, assignees, labels, priorities
Collaborate with your team, and view coverage insights aligned with spec folder hierarchy

Agentic QA Workflows.

At each phase of SDLC

Agentic QA Workflows.

At each phase of SDLC

QA isn’t a phase at the end of the sprint. It spans your entire SDLC. TestChimp gives your agents purpose-built QA workflows—so quality work happens when it should, with the context it needs.

Modular workflows for common QA jobs: validate specs, write tests after a PR, investigate batch failures, instrument for TrueCoverage, and more.

Modular workflows for common QA jobs: author stories, validate specs, write tests after a PR, fix test failures, and more.

Run in CI using standard Playwright runner

Composite workflows for higher-level outcomes: “Run QA,” “Release readiness,” or “Upkeep.”

Trigger workflows manually, from your IDE, in CI, or automatically from repository events.

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Policy Traceability for Agent Actions

Each workflow is backed by project specific policies you set - for behaviour guidance.

Use AI-driven steps where scripted steps become brittle with ai.act, ai.verify.

Give agents clear, project-specific guidance—and retain the evidence to prove how every action was made

very agent action is linked to its workflow, policy, and exact policy version - so you can optimize the agent policies

Review agent work alongside human activity in a shared collaboration timeline.

Speed of scripts, with agentic flexibility

Policy Traceability for Agent Actions

Each workflow is backed by project specific policies you set - for behaviour guidance.

Give agents clear, project-specific guidance—and retain the evidence to prove how every action was made

very agent action is linked to its workflow, policy, and exact policy version - so you can optimize the agent policies

Review agent work alongside human activity in a shared collaboration timeline.

Run Locally in IDE - or on Cloud Agents

Keep using the agents and environments your team already trusts. TestChimp orchestrates the QA system around them.

Use AI-driven steps where scripted steps become brittle with ai.act, ai.verify.

Install the TestChimp Skill and CLI; run workflows interactively with your local agent.

Run in CI using standard Playwright runner

Agents retrieve live QA context: untested specs, production-behaviour signals, failure history, release contexts and more.

Every agentic activity is reported back to TestChimp for auditability and team visibility.

Configure cloud agents to run workflows on event triggers - put QA on auto-pilot.

QA Brain — The Context Layer

Your agents already have context of your codebase. TestChimp builds a QA knowledge graph for your project, generates dynamic intelligence insights that are utilized by agents to continuously improve your QA posture.

Semantic Graph of QA Entities

A connected model of what your product promises, how it behaves, and how it is verified.

• Seamlessly traverse through stories, specs, UI areas, tests, test runs, issues, and releases

• Identify semantic clusters of tests for bloat detection and cleanup

• Identify areas impacted by a release to run smart regressions

QA informed by Real user behaviour insights

Real user behaviour insights

Optimize QA workflows informed by how your users are actually using the product

• Surface critical journeys, high-traffic paths, and friction points from real usage.

• Identify flows that deserve stronger regression coverage.

• Run performance tests to ensure real traffic patterns are supported

Gaps in Testing & Risks

Know what functionalities are untested, weakly tested, or stale.

• Detect untested requirements and tests that no longer match the product.

• Identify real user behaviours / segments not covered by tests

• Turn gaps into actionable insights for agents to course-correct

Rich Contextual Evidence

Give agents the full evidence needed to make correct fixes, rather than patchwork guesses.

Give agents the full evidence needed to make correct fixes.

• Execution histories for flaky tests and recurring failure patterns.

• Comprehensive manual-session captures for auditable evidence & rich context for E2E test creation.

• Full Playwright traces to fix tests effectively.

• Execution histories for flaky tests and recurring failure patterns.

• Comprehensive manual-session captures for auditable evidence

• Full Playwright traces to fix tests effectively.

Atlas - Insights aligned with App UI Structure

Atlas - Insights aligned with UI

See quality through the structure of the product your users see.

• Track UX / Performance / Accessibility issues on each screen in your app

• Manage visual regression lifecycle (baseline image approval and tracking)

• Give agents App-structure-aware context to investigate & resolve issues

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Git-native Release Governance.

Releases should be backed by evidence—not optimism. TestChimp brings your release scope, testing evidence, risks, and agent activity into one Git-native view.

Track functional validation across automated and manual testing with Test Runs.

Run in CI using standard Playwright runner

Capture auditable manual testing through the Chrome extension.

Define release scope using the spec folders.

Collaborate with your team seamlessly - across agents and humans

Track functional validation across automated and manual testing with Test Runs.

Capture auditable manual testing through the Chrome extension.

Define release scope using the spec folders.

Collaborate with your team seamlessly - across agents and humans

Beyond Functional: UX, Performance, Security

Functional tests prove that software works. Release checks prove it is ready for production use.

Use AI-driven steps where scripted steps become brittle with ai.act, ai.verify.

Catch UX issues (visual, usability, accessibility, UI-performance) with ExploreChimp

Run SAST, DAST, dependency, and vulnerability checks scoped to release changes.

Detect visual regressions before UI drift reaches customers.

Speed of scripts, with agentic flexibility

Consolidate findings into the same release evidence—not another disconnected dashboard.

Speed of scripts, with agentic flexibility

Git Backed Release Delta Insights

Understand exactly what changed - and what that change means for quality.

Use AI-driven steps where scripted steps become brittle with ai.act, ai.verify.

• Identify changed specs, product areas, UI surfaces, tests, and dependencies.

• Run smart regression tests based on release deltas

• Track tests added, stories updated, issues introduced, and issues resolved.

• Detailed PDF reports - ready for sharing with stakeholders.

• Agentic actions tracked with git commit SHAs - bringing clarity to agent work during releases.

Understand exactly what changed - and what that change means for quality.

• Identify changed specs, product areas, UI surfaces, tests, and dependencies.

• Run smart regression tests based on release deltas

• Track tests added, stories updated, issues introduced, and issues resolved.

• Detailed PDF reports - ready for sharing with stakeholders.

• Agentic actions tracked with git commit SHAs - bringing clarity to agent work during releases.

Trusted by over 400 startups and enterprises

Upgrade Your QA Platform Today.

Start Testing

Request Demo

TestChimp

Context-Driven QA for Agentic Teams

Products

Test Planning as Code

Compare with

TestChimp

Context-Driven QA for Agentic Teams

Products

Test Planning as Code

Compare with

Get In Touch

Email:

contact@testchimp.io

Phone:

+61 434 336 795

TestChimp

Context-Driven QA for Agentic Teams

Products

Test Planning as Code

Compare with

Context-Driven QA for Agentic Teams.

Context-Driven QA for Agentic Teams.

Ensure your QA is properly covering what matters to your business. Push releases with confidence.

Start Testing

Hours SavedPer Month

Faster Authoring

MoreCoverage

AnnualSavings

How It Works

Agent friendly Requirements

Agentic QA workflows throughout SDLC

Agentic QA workflows

QA Governance — built for agentic era

QA Governance - for agentic era

Test Planning

For the Agentic Era

Test Planning

For the Agentic Era

Test Planning

For the Agentic Era

Ensure Specs are Agent-Ready

Ensure Specs are Agent-Ready

Human Friendly Lifecycle Management

Human Friendly Lifecycle Management

Agentic QA Workflows.

At each phase of SDLC

Agentic QA Workflows.

At each phase of SDLC

Policy Traceability for Agent Actions

Policy Traceability for Agent Actions

Policy Traceability for Agent Actions

Run Locally in IDE - or on Cloud Agents

Run Locally in IDE - or on Cloud Agents

QA Brain — The Context Layer

QA Brain — The Context Layer

Semantic Graph of QA Entities

QA informed by Real user behaviour insights

Real user behaviour insights

Gaps in Testing & Risks

Rich Contextual Evidence

Atlas - Insights aligned with App UI Structure

Atlas - Insights aligned with UI

Git-native Release Governance.

Git-native Release Governance.

Beyond Functional: UX, Performance, Security

Beyond Functional: UX, Performance, Security

Git Backed Release Delta Insights

Git Backed Release Delta Insights

Trusted by over 400 startups and enterprises

Trusted by over 400 startups and enterprises

Upgrade Your QA Platform Today.

Start Testing

Products

Hours Saved
Per Month

Faster
Authoring

More
Coverage

Annual
Savings