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AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Crowdsourcing platform using 8M+ global workers to deliver AI training data, labeling, surveys, testing and store checks.
Vibe-coding builder creating full-stack apps by chatting with AI.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Chat inside GitHub issues and PRs
- ✦Task-to-implementation plans with code
- ✦Automatic bug-fix suggestions
- ✦Pull-request summaries for faster review
- ✦Full-codebase context
- ✦GitHub-native integration
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦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
- ✦8M+ verified global crowd
- ✦AI training data (image/video/audio/text) and annotation
- ✦Survey tools and respondents
- ✦Store checks and mystery shopping
- ✦Crowdtesting (web/app/games)
- ✦Tagging and categorization
- ✦Managed or self-service plus API
- ✦CodeFlying enables full-stack app creation via chat in minutes
- →Speeding up pull-request reviews
- →Implementing features from task descriptions
- →Debugging with AI-proposed solutions
- →Answering questions about a repo
- →Boosting a solo developer's output
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Sourcing AI training and labeled datasets
- →Running surveys and market research
- →Point-of-sale store checks
- →Crowdtesting apps and websites
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