The autonomous AI QA platform
Point BugBrain at your app and it tests it like a real user, finding the bugs your customers would hit first. It reviews every pull request and tests your AI features, not just your buttons. First real bug in minutes. No scripts to write.
AI coding tools now ship code faster than any human QA team can keep up with. So bugs reach production, accessibility complaints pile up, compliance slips, and your engineers spend Fridays firefighting instead of building.
A QA engineer costs $60–100K/year and can test maybe 20% of your surface. AI-generated code ships 5× faster than that. The math doesn't work.
Selectors break on every UI tweak, and load, security, and accessibility usually go untested until something falls over in production.
Hand-written tests only cover the paths someone thought to write down. The edge cases that take down production never get checked.
WCAG and ADA accessibility plus SOC 2 and GDPR evidence get assembled by hand under deadline, instead of generated as you go.
No SDKs, no rewrite. Point BugBrain at your app and it takes over the testing your team used to do by hand.
No SDKs, no config files, no code changes. Paste your app URL, add login credentials, and BugBrain starts exploring in minutes.
BugBrain works through your flows like a user, runs your test plans, and checks accessibility and APIs as it goes.
Each finding includes root cause, severity, reproduction steps, and screenshots. Your developers open the ticket and start fixing.
Pre-merge PR checks and scheduled runs keep regressions out of production.
Install the GitHub app and BugBrain reviews every pull request. It reads the diff, tests the flows your change actually touches, and posts a pass/fail check with the findings right in the PR.
BugBrain probes your AI copilots for hallucinations, prompt injection, and broken multi-turn context, the kind of failure traditional E2E tools never look for.
Give BugBrain a URL and it starts clicking around like a curious user, signing in, filling out forms, following wherever a flow leads. Along the way it maps your whole product and turns up bugs no one ever wrote a test for.
The BugBrain MCP server puts testing right inside Claude Code, Cursor, and Codex. Kick off a run, pull up issues, or generate test cases from the same chat that wrote the code.
No vague alerts to chase down. Each finding lands with a root cause, severity, reproduction steps, and screenshots from the real run.
When your UI shifts, BugBrain finds each element again through four fallbacks: cache, DOM graph, accessibility tree, then vision. Tests keep passing instead of flaking.
Install the GitHub app and BugBrain reviews every pull request. It reads the diff, tests the flows your change actually touches, and posts a pass/fail check with the findings right in the PR.
BugBrain probes your AI copilots for hallucinations, prompt injection, and broken multi-turn context, the kind of failure traditional E2E tools never look for.
Give BugBrain a URL and it starts clicking around like a curious user, signing in, filling out forms, following wherever a flow leads. Along the way it maps your whole product and turns up bugs no one ever wrote a test for.
The BugBrain MCP server puts testing right inside Claude Code, Cursor, and Codex. Kick off a run, pull up issues, or generate test cases from the same chat that wrote the code.
No vague alerts to chase down. Each finding lands with a root cause, severity, reproduction steps, and screenshots from the real run.
When your UI shifts, BugBrain finds each element again through four fallbacks: cache, DOM graph, accessibility tree, then vision. Tests keep passing instead of flaking.
Pre-merge gating, AI-product testing, and exploration that finds bugs no script covers. One agent, one bill.
Probe your chatbots and LLM features for hallucinations, prompt injection, and broken tool calls.
Install the GitHub app and BugBrain reviews every diff, tests the preview deploy, and posts a pass/fail check before anything merges.
Paste a URL. The agent signs in, maps your product, and finds bugs on paths nobody wrote a test for.
Anonymized findings from real BugBrain runs: the edge cases hand-written suites rarely cover.
During autonomous exploration of a staging storefront, BugBrain added the same promo code twice, and the cart total dropped below zero. No scripted test had ever covered that path.
Caught before merge, not by a customer at 2 a.m.
A PR that refactored the login flow passed unit tests but dropped the second-factor step on one redirect path. BugBrain exercised the branch preview and flagged the regression in the GitHub check.
Blocked from merging until fixed.
An AI copilot shipped with new guardrails, but a crafted follow-up message still pulled internal instructions into the reply. BugBrain's prompt-injection probe caught it on the first adversarial run.
Fixed before the feature flag went wide.
Install the BugBrain MCP server in Claude Code, Cursor, or Codex. Kick off a run, read issues, and fix bugs without leaving the chat that wrote the code.
npx -y @bugbrain/mcpMCP setup guide Every finding is verified before it reaches you. Push them to GitHub, Jira, Linear, or Slack, or run QA from your IDE over MCP.
Every issue passes an oracle check that lands on PASS, FAIL, or INCONCLUSIVE, so your developers stop chasing noise.
You get per-org data isolation, AES-256-GCM credential encryption, and audit logs, starting at $49 a month. We help you gather SOC 2 evidence; we don't claim a certification we haven't earned.
Chatbots, LLM responses, prompt injection, hallucinated answers: BugBrain checks the parts of your product Playwright was never built for.
We build on the infrastructure patterns those programs expect: per-org isolation, encryption at rest, and least-privilege access from day one.
A mid-level QA engineer costs $75K/year. BugBrain starts at $49/month, with a full AI agent, self-healing tests, and PR checks included. No contracts.
For solo devs and freelancers shipping a few sites.
For startups replacing their first QA hire.
For growing teams and agencies testing many apps.
Custom limits, security review, SLA, dedicated support.
No. BugBrain explores your app and writes reusable test cases for you. You can still author or edit cases yourself whenever you want tighter control.
It handles credentialed logins and reuses saved sessions, so it can test signed-in areas like dashboards and checkout, not just your public pages.
Yes. Install the GitHub app for pre-merge PR checks, subscribe to webhooks, or run on a schedule. Jira, Linear, Slack, Teams, and more are built in.
Your data is isolated per organization, stored credentials are encrypted with AES-256-GCM, and access stays least-privilege throughout. The platform page has the full security overview.
Launch comes with a 14-day free trial, no credit card needed. Paid plans start at $49/month, and Startup and Scale come with a 14-day money-back guarantee. The pricing page has the full breakdown.
Both, depending on your situation. Solo devs and early-stage startups use BugBrain instead of making their first QA hire. Teams that already have QA engineers use it to take over the manual, repetitive work like exploratory testing, script maintenance, and regression runs, so their QA people can focus on strategy and the tricky edge cases.
BugBrain runs your chatbots, LLM responses, and AI copilots through adversarial scenarios: hallucination checks, prompt-injection probes, and consistency tests across turns. Very few QA tools test AI behavior at all, and that's where we focus.
“I spent years fixing flaky Cypress suites every single sprint. We built BugBrain so quality could keep up with how fast we ship now, without hiring a whole QA team to do it.”
Tayyab Akmal · Founder & CEO
Our storyYour first test run takes minutes. No scripts to write, no card required.