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VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Topic and question research tool that aggregates search, social, and SEO data to generate blog and content ideas.
Vibe-coding builder creating full-stack apps by chatting with AI.
Side-by-side arena to compare AI coding models and build multi-file apps, with a public leaderboard and battle mode.
No public pricing
No public pricing
No public pricing
- ✦in-editor chat with OpenAI assistants
- ✦workspace source-code context sharing
- ✦support for custom, user-defined assistants
- ✦secure management of the user's OpenAI account
- ✦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
- ✦Topic Model for cross-web content research
- ✦Social Model covering Reddit, Twitter, TikTok, Instagram and more
- ✦Question Finder for audience-question discovery
- ✦Search volume, trends, sentiment and CPC data
- ✦Saved lists and shareable workspaces
- ✦Multi-language and multi-country reports
- ✦CSV export
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦Head-to-head model comparison
- ✦Battle mode matchups
- ✦Public model leaderboard
- ✦Multi-file app generation
- ✦File uploads as input
- →getting coding help without switching out of VS Code
- →using a personalized OpenAI assistant tuned to a project
- →quick in-editor Q&A while writing code
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Content marketers finding blog topic ideas
- →Social media managers tracking trending discussions
- →SEO teams researching keyword search volume and CPC
- →YouTube/podcast creators finding audience questions
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- →Choosing the best coding model
- →Benchmarking AI code quality
- →Prototyping small apps