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AI-powered IDE with code completion, generation, explanation and debugging, plus a cloud dev environment, for developers.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
CI reliability platform that auto-quarantines flaky tests and runs an intelligent GitHub merge queue for engineering teams.
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
Free trial available
- ✦CSV to API conversion
- ✦Data parsing (CSV to JSON)
- ✦Filtering capabilities
- ✦AI code completion and snippet generation
- ✦Natural-language code generation
- ✦Code explanation and AI Q&A
- ✦Automated bug detection and fixes
- ✦Zero-config cloud development environment
- ✦Project creation from templates or Git
- ✦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
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦Automatic flaky test detection and quarantining
- ✦AI-powered failure analysis and duplicate detection
- ✦Anti-flake protection in the merge queue
- ✦Batching up to 100 PRs with auto-bisection on failure
- ✦Parallel merge queues for non-overlapping changes
- ✦Integrated ticketing with Linear/Jira and Slack alerts
- →Sharing CSV data with a team via an API
- →Creating a public API from CSV data
- →Filtering and accessing specific data within a CSV file programmatically
- →Writing and completing code faster with AI
- →Onboarding to unfamiliar codebases
- →Debugging and optimizing code
- →Spinning up dev environments in the browser
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Eliminating flaky test re-runs that slow down CI
- →Managing high-volume PR merges in a monorepo
- →Getting visibility into which tests impact the most pull requests