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AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
AI coding platform routing many agents and models through one encrypted, usage-based endpoint with CLI, IDE and multi-agent execution.
No public pricing
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
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- ✦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-Powered SQL Query Generation
- ✦No-Code SQL Builder
- ✦SQL Syntax Explainer
- ✦SQL Optimizer
- ✦SQL Formatter
- ✦SQL Syntax Validator
- ✦NoSQL Query Builder
- ✦Unified encrypted inference endpoint
- ✦Multi-agent parallel execution
- ✦CLI, IDE, and API access
- ✦App builder and remote coding agents
- ✦Chairman LLM output evaluation
- ✦35+ IDE integrations
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Generating complex SQL queries without SQL knowledge
- →Understanding and decoding intricate SQL queries
- →Optimizing SQL queries for faster results
- →Formatting messy SQL code for readability
- →Validating SQL syntax to prevent errors
- →Generating NoSQL queries without manual coding
- →Automating refactors, tests, and migrations
- →Running competing AI coding agents
- →Building apps from prompts
- →Integrating agents into CI/CD