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Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.
AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
AI agent-based end-to-end testing platform for SaaS teams that runs exploratory and PR-triggered tests without maintaining test scripts.
Cloud API that auto-solves reCAPTCHA, Cloudflare and other CAPTCHAs at ~99% success, pay-per-solve for automation and scraping.
AI QA agent that writes and runs API, UI, and OWASP security tests automatically on every pull request.
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- ✦Codebase-aware developer chat
- ✦AI code completions and inline edits
- ✦Customizable and shareable prompts
- ✦Automatic bug identification and debugging help
- ✦Context filters to exclude sensitive repos
- ✦Integrates with major code hosts and IDEs
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦AI agents that visually explore and test UI like a real user
- ✦Automatic PR-triggered test runs via GitHub/Vercel preview integration
- ✦Self-healing tests that adapt to UI and workflow changes
- ✦Mobile web, iOS, and Android app testing support
- ✦Detailed debugging with screenshots, logs, and failure reasoning
- ✦Cloud-native execution with no source-code access required
- ✦API solving for reCAPTCHA, Cloudflare, GeeTest, AWS WAF and more
- ✦Up to 99% success rate
- ✦Built-in proxies included
- ✦SDKs for C#, Python, JS, Go, PHP
- ✦Chrome and Firefox extensions
- ✦Pay only for solved CAPTCHAs
- ✦Affiliate and volume-bonus programs
- ✦AI-generated and self-maintaining test scenarios
- ✦API and UI test runs on every pull request
- ✦OWASP-aligned security probes
- ✦Import from OpenAPI, Postman, and spreadsheets
- ✦Shared, versioned scenario library
- ✦Velocity analytics on review time and coverage
- ✦CI/CD, Slack, Jira, and Cursor integrations
- →Engineers asking questions about an unfamiliar large codebase
- →Teams standardizing common coding tasks with shared prompts
- →Developers debugging errors faster with AI-assisted context
- →Enterprises running large-scale code migrations
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Engineering teams wanting regression testing without maintaining scripts
- →SaaS companies needing continuous QA feedback on every pull request
- →Teams replacing manual QA hours with automated agent-driven testing
- →Automating CAPTCHA-gated web scraping
- →Bypassing anti-bot challenges in bots and apps
- →Integrating captcha solving into software
- →Automating regression testing for API changes
- →Catching security issues before merge
- →Replacing spreadsheet-based test tracking
- →Continuous QA for fast-shipping engineering teams