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Connects Git repos to answer plain-English questions about your code with file references and dependency context.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
AI tool for engineering teams that automates code review, status updates, and answers questions about what's changing in code.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
AI QA agent that writes and runs API, UI, and OWASP security tests automatically on every pull request.
No public pricing
No public pricing
Free trial available
- ✦Natural-language search across a codebase
- ✦Architecture explanations and dependency graphs
- ✦Bug hunter that traces issues across files
- ✦AI code review before opening a PR
- ✦Automatic documentation generation
- ✦Multi-repo support via OAuth
- ✦Library of sample database designs
- ✦Visual database designer / diagram tool
- ✦AI database generator
- ✦Modify and optimize existing schemas
- ✦SQL script export
- ✦Dialect converters (MySQL/PostgreSQL/MSSQL)
- ✦AI code review
- ✦Automatic engineering status updates
- ✦Agent that answers questions and takes action
- ✦Metrics on coding time and project focus
- ✦Pushed vs landed tracking
- ✦Commit and contributor insights
- ✦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
- ✦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
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Automating code reviews
- →Keeping stakeholders updated on engineering progress
- →Understanding what's changing in a codebase
- →Tracking team productivity metrics
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Automating regression testing for API changes
- →Catching security issues before merge
- →Replacing spreadsheet-based test tracking
- →Continuous QA for fast-shipping engineering teams