—AI Test Automation That Ships From Day One
When Claude won't scale for QA, teams use Amikoo.
Get an agentic, full test automation solution from day one, instead of spending 600+ hours and $1M+ building and maintaining your own.
Or Try It Free (2-click sign up)
cheaper than raw Claude usage
fewer tokens than DIY Claude
vs. 1 generalist
to a full test suite
—What we hear
Sound familiar?
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"We want to use AI for QA, but we don't want to vibe-code and maintain our own test automation platform forever."
CTO, Series B SaaS
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"Claude is great for unit tests. But e2e testing still needs a human to validate every assertion. We need that same confidence for QA."
VP of Software Development
—WHY AMIKOO
Like Claude, but built for E2E testing
Claude is a generalist. Amikoo is 6 specialist agents and 51 custom tools, built for one job: keeping your product tested as fast as you ship it.
Fast
CTOs build their product's full test suite with Amikoo in an afternoon, not 6 months.
Scalable
Enterprise-ready. Handles multiple repos, large test suites, and complex CI/CD pipelines without the overhead.
Reliable
Context-aware agents that stay in sync as you ship. Tests auto-update when code changes. No babysitting required.
Cost-effective
More than 10x cheaper than raw Claude usage. Validated against real $12–13K/month AWS Bedrock bills.
—The real comparison
Claude DIY vs. Amikoo
Claude is a brilliant generalist. But brilliant generalists don't build enterprise QA platforms. They need 3–4 engineers, 6+ months, and a permanent maintenance team just to get started.
1 generalist vs 6 specialists
—Build vs. Buy
The gap widens every sprint
Teams that chose to build their own AI testing platform are still building. Teams that chose Amikoo shipped on day one.
Validated against real $12–13K/month AWS Bedrock bills. Same task: Codex 21s + 2 retries. Amikoo: 2.7s, first pass.
—What AI Says About AMIKOO
We Asked Claude & ChatGPT Which AI Tool to Use for QA. Both Said Amikoo.
When you ask the leading AI models to compare themselves against Amikoo, the answer is consistent: use the specialist.
"Best option for AI + Playwright testing? QA can't keep up with our release cadence, e2e coverage is weak. Comparing Amikoo vs Claude."
"I would choose Amikoo as the primary AI + Playwright testing option, and use Claude + Playwright MCP as a secondary/dev-assist option, not as the main QA operating system."
The bottleneck is test ownership and maintenance — not generating a script once. Amikoo is purpose-built around repair, coverage monitoring, and reliability.
"For teams releasing at speed with a lean QA function, Amikoo is the stronger fit. It removes the operational burden — your QA stays focused on coverage and quality, not firefighting broken tests after every deploy."
At a high release cadence there's no time to manually prompt an AI, read failure logs, and craft repair instructions. Amikoo compresses that to a review step.
—The obvious question
"Could I just use Claude and get close to this?"
Three things Claude structurally can't do that Amikoo resolves by design.
—How it works
Four steps. Then just test.
Connect your repo, grant user-level access to your app, and start prompting. Amikoo runs inside your stack — no platform migration, no vendor lock-in.
Connect your stack
Link your app URL, GitHub or Azure repo, spec docs, Jira tickets, even screen recordings. 15 minutes, start to finish.
Build your test strategy
Chat with Amikoo to define scope. The Explorer Agent maps critical flows and surfaces coverage gaps automatically.
Tests ship with your PRs
6 specialist agents generate, validate, and push Playwright tests to your repo as you merge code.
Self-healing test suite
The Repair Agent auto-fixes broken tests. Your suite stays in sync — no manual upkeep required.
Introducing Amikoo
The First QA Agent Team that Understands Your
Software and Users
Getting 6-8x more speed & value out of Claude & Codex-driven testing stacks

In AI-driven software testing, context is king. Amikoo QA agents learn the ins and outs of your software and users in minutes, identify and fill test coverage gaps in hours, and repair or rebuild antiquated Playwright tests within seconds of code changes. A single QA manager, SDET, or developer with the support of Amikoo can now confidently handle the demands of a 20+ person development team. Working 24/7, Amikoo helps maintain your release health and provides a real-time picture of your product’s quality, enabling QAs and developers to focus on the more strategic initiatives.
As AI-accelerated developers continue to code and release faster and faster, Amikoo is built to keep QA ahead of the curve.
Describe your
testing need in NLP…
…Amikoo calls
the right QA agents…
Explores Product, GitHub, Architecture

Reviews Playwright Test Code & History
Pulls in User Context

Creates & Pushes Executable Test Code
…agents deliver critical Playwright tests
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Problems
Launch Faster
Accelerate releases with AI-powered regression testing that keeps up with modern development speed.
90%+ Coverage
Determine your coverage gaps and fill them rapidly with the Amikoo Repair and Exploratory Test agents.
Zero Maintenance
Our AI agents and experts handle all ongoing test maintenance, keeping your suite clean, stable, and up-to-date. No more flaky scripts.
—The build vs. buy decision—
The best QA teams buy what they can't afford to build
Nobody builds their own Salesforce. Nobody builds their own AWS. You shouldn't build your own AI QA platform either.
—FAQ
Questions engineers actually ask.
How is Amikoo different from Claude Code or other AI coding tools?
Tools like Claude or generic AI coding assistants can generate test code, but they lack the product context needed to maintain quality over time. Amikoo uses purpose-built QA agents that understand your application, user behavior, and testing history, allowing it to continuously create, repair, and evolve tests, not just generate them once. Furthermore, without context natively built in, Claude-only implementations are much less token efficient when users stuff prompt windows with their own superfluous context files.
Does Amikoo replace unit testing or work alongside it?
Amikoo complements unit testing. While unit tests validate individual components, Amikoo focuses on end-to-end quality by testing real user flows, identifying coverage gaps, and ensuring your application works as expected across environments. Together, they provide complete confidence in your releases.
How does Amikoo improve testing efficiency?
Amikoo dramatically reduces the time spent on manual test creation and maintenance. Its QA agents can generate tests based on real user behavior, repair broken Playwright tests, and continuously expand coverage. This allows teams to scale QA efforts without increasing headcount or slowing development.
How does Amikoo's repair agent compare to Playwright’s native test healer tools?
In benchmark testing, Amikoo's Repair Agent significantly outperforms Playwright’s native Healer Agent. Across the same broken test suite, Amikoo delivered:
- 2× higher repair success rate (70% vs 34%)
- 5× faster execution time (5 minutes vs 25 minutes per repair cycle)
- 28% lower token usage
- Fewer iterations per test (4 vs 7)
Unlike native tools that rely solely on LLM reasoning, Amikoo captures runtime context (DOM state, screenshots, and execution history) to apply more deterministic and reliable fixes—reducing flakiness and manual intervention.
How does Amikoo scale with growing teams and test suites?
Amikoo is built to scale with your development velocity. Whether you're a small team or managing complex environments, its token-based model and agent-driven automation allow you to increase test coverage, handle more frequent releases, and maintain quality without bottlenecks.
Can I see and edit the tests Amikoo generates?
Yes. Every test Amikoo creates is standard Playwright TypeScript that lives in your repo. You can read it, edit it, run it locally, and commit it like any other file. Amikoo generates, repairs, and evolves your test suite automatically, but the code is always yours, fully visible, and never locked in a proprietary format.



