01
30 PRs a week cannot wait for one manual pass.
Even a 20-minute smoke test becomes 10 hours of repeated review when it runs across 30 changes. Killbug turns critical journeys into repeatable checks instead of another release checklist.
Your AI-Powered QA Team!
Your product moves fast.QA should too.
Killbug helps teams generate, run, and maintain test cases without slowing releases down.
Built for AI-assisted teams and modern web stacks
Acceleration
QA has to move as fast as product now.
AI agents have changed how quickly teams build and review software. Killbug changes the QA loop: agents map, automate, and run dozens of product tests in parallel before release risk piles up.
02
Two blocked release days cost 10% of the month.
When testing falls behind the build loop, releases sit in review and engineers lose the context they had while shipping. Killbug runs product flows in parallel so teams can keep moving with facts.
03
A two-hour incident burns eight engineering hours.
With four people debugging, reproducing, and writing follow-up, one small regression can erase the time AI saved. Killbug keeps failures tied to recordings, steps, and issues before customers find them.
Compare
QA gets expensive when every fix needs more people.
Compare the real operating cost: setup time, recurring labor, maintenance, and how fast each option turns product changes into repeatable checks.
| Compare | Killbug AI QA agents | Manual QA Release pass | Test scripts Playwright / Cypress | QA service Outsourced team | Staff aug Contractors | In-house hire Build a team |
|---|---|---|---|---|---|---|
| Starting cost | $49/mo billed annually | $30-80/hr per tester | $3K-12K/mo plus setup | $5K-25K/mo retainer | $80-150/hr contract rate | $150K+/yr loaded cost |
| Time to coverage | 1 day first checks live | 1-2 weeks checklist pass | 4-8 weeks script buildout | 4-6 weeks onboarding | 6-10 weeks ramp time | 3-6 months hiring cycle |
| Test generation | AI from flows | Manual human steps | Code engineer-written | Manual vendor-owned | Manual contractor-owned | Manual team-owned |
| Maintenance | Auto-correction review changes | Every run repeat effort | Ongoing selector upkeep | Per ticket change requests | Hourly billable fixes | Internal team capacity |
| Run volume | 150-1,200/mo AI test runs | 1x release pass | CI-bound pipeline cost | Ticket-bound vendor queue | Hours-bound contract time | Team-bound headcount |
| Contract | Monthly start small | None but repeats | Internal engineering time | 6-12 mo vendor term | 3-6 mo contract term | FTE long-term |
Pricing
Choose the plan that matches your coverage.
Every plan includes AI test case creation and automated runs. Upgrade for advanced models, integrations, and greater workspace capacity.
Starter
For a single product getting started with AI testing.
$49/mo, billed annually
$588 billed annually
2 seats included
Includes:
1 project
150 AI test runs / month
Standard AI model
AI test case generation
Team
RecommendedFor teams automating release coverage together.
$169/mo, billed annually
$2,028 billed annually
5 seats included · +$20/seat · 20 max
Everything in Starter, plus:
5 projects
600 AI test runs / month
Advanced AI model
Scale
For high-volume QA across multiple products.
$339/mo, billed annually
$4,068 billed annually
10 seats included · +$15/seat · 20 max
Everything in Team, plus:
10 projects
1,200 AI test runs / month
Technical support via Slack
Enterprise
For organizations with custom security and scale needs. Custom models, integrations, onboarding, and SLA options are available.
Customer stories
Trusted by teams that ship every week.
Teams use Killbug to keep release-critical journeys visible, repeatable, and easier to debug as product velocity increases.
"We recorded our invite, billing, and role-change flows in an afternoon. The first scheduled run caught a permissions regression before our release review."
Maya Chen
Product Lead, B2B SaaS
"Our support team kept seeing checkout edge cases before engineering did. Killbug gives us the recording and failed step, so triage starts with evidence."
Jordan Lee
Engineering Manager, Marketplace
"We are still changing onboarding every week. Being able to add coverage without writing a new test suite has made QA part of the shipping rhythm."
Nina Patel
Founder, Workflow Automation
"The regressions that hurt us are usually account setup, permissions, and reports. Those are exactly the flows we now run before every weekly release."
Alex Ramirez
Head of Product, Vertical SaaS
"Our Monday smoke check used to be a spreadsheet and a screen share. Now we review failed browser runs with recordings and assign the real fixes faster."
Aisha Brown
QA Lead, Developer Tools
FAQ
What teams want to know before they start testing with Killbug.
Can non-QA teams use Killbug?
Yes. Killbug is built around product journeys, so product, engineering, support, and QA teams can describe the flows they already understand without writing Playwright scripts.
How does Killbug create test cases?
Teams can write steps manually, import existing coverage, record a browser session, or let AI explore the product surface and propose critical journeys.
How does Killbug handle logged-in tests?
Credentials live at the project level. Test Cases can reuse the right account context without putting usernames, passwords, or session details inside every flow.
What happens when something fails?
Killbug keeps the failed step, recording, run details, and linked issue together so the team can decide whether it is a real regression and close the loop quickly.
Can Killbug run checks from a test plan?
Yes. Teams can configure recurring runs for critical workflows in a test plan, review the latest result history, and get notified when a customer-facing path starts failing.
Does Killbug replace our existing QA process?
Not usually. Killbug is designed to cover the flows that change often or get missed between releases, while your existing manual review, unit tests, and end-to-end suites keep doing their jobs.
How quickly can a team start?
Most teams can create a project, add credentials, record a browser flow, and create their first recurring test plan in one session.
What makes Killbug different from script-based E2E tools?
Killbug focuses on turning real product journeys into repeatable browser checks with run history, issue context, and team-friendly triage instead of asking every workflow owner to maintain code.
Start with your critical flows
Turn your most important journeys into repeatable checks.
Create a project, add the account context, and let Killbug keep checking the paths your team cannot afford to miss.