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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.
Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
Free, local, open-source AI app builder that works with any AI model and exports real code you own, with zero lock-in.
No public pricing
No public pricing
No public pricing
- ✦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)
- ✦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
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦Local-first, open-source app building
- ✦Works with any AI model or provider
- ✦Exports real, ownable code (no lock-in)
- ✦Supabase database, auth, and server functions
- ✦Built-in security review and fixes
- ✦Deploy to GitHub and Vercel; MCP server support
- →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
- →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
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Building full-stack apps with your own AI models
- →Prototyping without proprietary platform lock-in
- →Adding database and auth via Supabase
- →Deploying apps to GitHub and Vercel