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Agent-Native QA Platform

TestChimp is an Agent-native QA platform that brings a workflow optimized for agentic involvement in every phase of quality assurance — re-imagined for the agentic era.

Unlike traditional QA tools built for human-only workflows, TestChimp is designed from the ground up for AI agents and human teams to work together. We bring value at each phase of QA: from planning requirements, to executing tests, to exploratory testing, to contextual insights — with agents as first-class participants throughout.

The Four Phases of QA​

TestChimp's workflow spans the complete QA lifecycle:

1. Agent-Friendly Test Planning​

Test Planning — Author and maintain user stories and test scenarios as plain markdown files organized in folders. Workflow management is layered on top.

  • Perfect alignment with dev and test agents — Agents can read and work on your plans directly
  • Git versionable / diffable — Plans live in your repo alongside code
  • Folder aggregation — Proximity reasoning context for agents
  • Test insights at any hierarchical granularity — Coverage, gaps, failures rolled up to folder level
  • Collaboration at any hierarchical granularity — Team workflows that match your structure

2. Agent-Assisted Test Execution​

Smart Tests — Plain Playwright scripts with AI-native steps: ai.act, ai.verify, ai.extract for bringing in agentic execution only when needed.

  • Deterministic by default — Fast script execution
  • Agentic when needed — AI steps for complex or visual verifications
  • Easy traceability — Link tests to scenarios with simple comments for contextual insights

3. Exploratory Agentic Testing​

Exploratory Testing — Deterministically guided by your functional tests, agents perform exploratory testing to catch visual, performance, security, usability, localization, accessibility and many other critical bugs that churn users.

  • Guided by SmartTests — Methodical coverage, not random wandering
  • Comprehensive analysis — DOM, screenshots, network, console, metrics
  • Bugs tagged at screen-state — Precise context for every issue found

4. Contextual Insights for Informed Decisioning​

Insights — Team stakeholders get deeply contextual insights:

  • Test coverage & failure hot spots — Reported at any folder granularity in stories
  • UX bugs traceability — Which user stories/scenarios affected by bugs
  • Atlas — Insights keyed by screens: bugs on a screen/state, visual regressions, performance metrics

Why Agent-Native?​

Traditional QA tools assume humans are the only actors. TestChimp assumes agents will increasingly participate in QA — writing tests, exploring applications, analyzing results. By making every artifact agent-readable (markdown files, plain scripts, structured data) and every workflow agent-friendly, TestChimp enables:

  • AI coding assistants to read your test plans and contribute
  • Test agents to execute and explore with full context
  • Humans to collaborate with agents, not replace or fight them

Get Started​

  1. What is TestChimp? — Core components and how they work together
  2. Quick Start — Get running in three steps
  3. Onboarding to TestChimp — Set up your team and projects