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One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
AI Pine Script generator for TradingView strategies and indicators.
Open-source framework for automated end-to-end UI testing of mobile and web apps, with a paid cloud for parallel device runs.
AI end-to-end testing for web and mobile: write tests in plain English; agents author and self-heal them.
Free trial available
No public pricing
Free trial available
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦AI-powered Pine Script code generation
- ✦Custom strategy and indicator creation
- ✦Error correction and code optimization
- ✦TradingView integration
- ✦Human-readable YAML test flows
- ✦Local CLI and Studio testing for free
- ✦Open-source, CI-friendly design
- ✦Cloud device farm for parallel runs
- ✦AI-agent integration through MCP
- ✦Self-healing tests with local agents
- ✦Plain-English E2E test authoring
- ✦AI agents that self-heal tests
- ✦Web, iOS, and Android testing
- ✦Regression, smoke, and PR testing
- ✦Runs locally, in CI, or hosted
- ✦CLI wizard for setup
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Generating custom trading strategies for backtesting on TradingView
- →Creating custom indicators for technical analysis
- →Automating the process of writing Pine Script code
- →Automate mobile app UI regression tests
- →Run tests in parallel across many devices
- →Integrate UI testing into CI pipelines
- →Let AI agents generate and run app tests
- →Automating end-to-end QA
- →Gating deploys with smoke tests
- →Testing every pull request