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AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
Connects Git repos to answer plain-English questions about your code with file references and dependency context.
AI-native data design canvas that reverse-engineers SQL into ER diagrams and lets you chat with AI on the board.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
No public pricing
Free trial available
Free trial available
No public pricing
No public pricing
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦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
- ✦SQL reverse-engineering to ER diagrams
- ✦Data lineage and dependency mapping
- ✦AI copilot on the canvas
- ✦Combined diagrams, wikis and flowcharts
- ✦Auto-detect implicit PK/FK relationships
- ✦Shareable/embeddable boards
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Visualize and document databases
- →Reverse-engineer SQL architecture
- →Plan and refactor data models
- →Write technical design docs with AI
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups