Google's agent-first development platform for building and shipping software with AI agents
Google's agent-first development platform for building and shipping software with AI agents
Qase records 319,213 monthly visits with -25.5% month-over-month growth and Freemium, Free Trial, Contact for Pricing, Free pricing. Trunk records 31,564 monthly visits with +15.5% growth and Freemium, Free Trial, Contact for Pricing pricing.

CI acceleration platform for flaky tests, merge queues and dynamic CI
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | qase.io | trunk.io |
| Pricing Model | Freemium, Free Trial, Contact for Pricing, Free | Freemium, Free Trial, Contact for Pricing |
| Monthly Visits | 319.21K (319,213) | 31.56K (31,564) |
| MoM Traffic Delta | -109.49K (-25.5%) | +4.24K (+15.5%) |
| Primary Market & Share | 🇰🇷 South Korea (23.5%) | 🇺🇸 United States (63.8%) |
| Direct Visits / mo | 246.41K | 18.76K |
| User Rating | 4.5 | 4.4 |
| Supported Platforms | Website | Website |

Ship with confidence: one system of record for manual, automated, and CI tests
Manual test cases, automated test runs, and CI pipeline results consolidate into one dashboard so there are no blind spots about coverage or pass rates.
Paste a manual test case, choose a framework, and Qase generates an automation script for Playwright, Cypress, or Selenium, shrinking the manual backlog instead of growing it.
Bidirectional links connect every requirement to its test cases and results, so when something breaks you can trace exactly what was verified.
Pass rates, coverage gaps, blockers, and flaky-test history come together in shareable readiness views for confident go/no-go decisions.

CI acceleration platform for flaky tests, merge queues and dynamic CI
Works with any language, test runner or CI provider to identify flaky versus genuinely broken tests and quarantine the flaky ones automatically.
Batches up to 100 pull requests per run with automatic bisection of failing batches, plus parallel lanes so hotfixes skip the line.
Failed PRs stay in the queue while downstream PRs keep testing, and if a later PR passes both can merge — main stays green.
Gives every job a per-push run-or-skip verdict, with a Learning Mode that shows projected savings on your repo before you turn skipping on.
Google's agent-first development platform for building and shipping software with AI agents
Google's agent-first development platform for building and shipping software with AI agents
GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language
SpecialistAn AI IDE and coding agent that works on your project, not just your cursor
SpecialistAn AI IDE and coding agent that works on your project, not just your cursor

AI-powered terminal and agentic software factory for development teams
SpecialistScreen recorder that captures bugs with full technical context
SpecialistScreen recorder that captures bugs with full technical context

Agent orchestration platform for your whole software development lifecycle
Agent orchestration platform for your whole software development lifecycle
Provides comprehensive test management and execution across web, mobile, and APIs, though with a heavier desktop footprint.
Provides comprehensive test management and execution across web, mobile, and APIs, though with a heavier desktop footprint.
SpecialistFocuses on autonomous regression test generation and execution, but offers less robust manual test case management features.
SpecialistFocuses on autonomous regression test generation and execution, but offers less robust manual test case management features.

Write end-to-end test automation in plain English, no code required
Write end-to-end test automation in plain English, no code required
Agentic AI QA engineer for web, iOS, and Android testing
Agentic AI QA engineer for web, iOS, and Android testing

SpecialistAutomates web and mobile test creation and execution with AI, though less centered around manual test case organization.
SpecialistAutomates web and mobile test creation and execution with AI, though less centered around manual test case organization.

Agent-native end-to-end testing that maintains itself
Agent-native end-to-end testing that maintains itself