Two moves ahead in the post-AI world.

AI-assisted development is raising the bar for what quality means. Bugasura gives your QA team the intelligence and agents to raise their game with it — deeper coverage, sharper risk decisions, and test strategies that reflect what actually matters to your users.

50,000+ QA engineers worldwide

Trusted by QA teams at companies of all sizes across 80+ countries

Free forever

Full platform access, unlimited users and projects — no credit card

#1 on Product Hunt

Top-ranked QA tool by the developer community

25+ integrations

GitHub, Jira, Slack, Asana, ClickUp, Linear, and more

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Quality engineering gets stronger when AI gets faster.

The best QA teams aren't running to keep up with AI development — they're using it to go deeper than they ever could manually. Here's what that looks like in practice.

AI-Assisted Testing

From writing tests to making test decisions

Bugasura generates the test cases. Your QA lead reviews, refines, and approves them. The expert judgment stays with your team — the tedious first draft doesn't.

Risk Intelligence

From gut-feel coverage to risk-mapped coverage

Coverage decisions backed by actual risk data — requirements, defect history, business impact — not sprint pressure and intuition. Test what matters most, not what's easiest to test.

Team Knowledge

From individual knowledge to team intelligence

The institutional knowledge your senior testers carry — which modules are fragile, which edge cases always break — captured in the Knowledge Base and available to everyone, every sprint.

Test Management

Test strategies built on real product understanding — not written from scratch each sprint.

Bugasura generates test cases from your requirements, knowledge base, and risk surface. A complete, prioritised first draft that your QA lead reviews and approves. The result is deeper coverage in less time — because you're refining expert-quality output, not starting from a blank page.

AI-generated test cases from product context and requirements

Risk-prioritised — highest-impact cases surface first for review

Edge case and negative scenario generation included automatically

Sprint-ready test plans generated alongside development scope

Learn about Test Management
Asura Agents

Agents that test while your team focuses on what needs human judgment.

Asuras handle the systematic, repeatable execution — web flows, API contracts, backlog deduplication. Your testers focus on the complex, ambiguous, exploratory testing that still needs a human brain. The right work for the right intelligence.

Browser Asura for end-to-end web flow testing

API Asura for contract and regression validation

Duplicate Bug Asura keeps your backlog clean automatically

All agents inherit platform context — not just selectors

Meet the Asuras
Knowledge Base

The QA knowledge your team builds, available to every tester — forever.

Your best QA engineer's knowledge of fragile modules, recurring failure patterns, and product edge cases — externalised and searchable. New team members ramp faster. Every tester makes decisions with the same depth of context. And nothing is lost when someone moves on.

Centralise product, tech, and historical defect knowledge

AI-indexed and semantically searchable — find relevant context fast

Stale content alerts when documentation falls out of date

Feeds directly into test generation and Asura execution context

Learn about the Knowledge Base

QA teams use the full platform. Here's how each layer helps.

For QA teams, all four layers matter — Context gives the foundation, Refine maps risk, Generate creates test plans, Execute runs them and closes the loop.

01 Context

Knowledge Base & Requirements

The foundation every test decision draws from

02 Refine

Testpert Q&A & Risk Mapping

Coverage prioritised against real product risk

03 Generate

Test Management

Sprint-aligned plans, AI-generated cases

04 Execute

Asuras · Bug Tracker · Reporting

Run, capture, and close the loop

Bugasura changed how we think about what QA is. We used to measure ourselves by how many tests we ran. Now we measure by how well we understand product risk — and that's a much better measure of quality engineering.

Kiran R.

QA Lead, TechX