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AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
AI SQL analyst that learns your database to turn plain-English questions into queries, dashboards and reports for teams.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
Vibe-coding builder creating full-stack apps by chatting with AI.
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
- ✦Auto-learns database schema without manual setup
- ✦Natural-language querying with accuracy scoring
- ✦Drag-and-drop personal dashboards
- ✦Automated PDF and interactive reports
- ✦Works inside ChatGPT, Claude, Slack and MS Teams
- ✦Desktop app keeps query results local
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦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)
- ✦CodeFlying enables full-stack app creation via chat in minutes
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Let non-technical staff self-serve data insights
- →Speed up ad-hoc analysis for BI teams
- →Generate recurring reports automatically
- →Query across many SQL databases and warehouses
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
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