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Autonomous Agents Prompt To Web App Full Stack App Generation Ide Copilots Coding Assistants Copilots Code Generation App Builders Low Code

GitHub

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves

Workik

✓ verifiedFreemium

AI coding assistant that gathers project context to plan, generate, test and ship code across the SDLC via IDE and chat integrations.

210K visits/mo

Angular.dev

✓ verifiedFree

Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.

1.1M visits/mo

Google Opal

✓ verifiedFree

Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.

2.1M visits/mo

Vibecode.dev

✓ verifiedPaid

AI app builder that lets non-developers describe an idea and generate a working mobile or web app through chat.

367K visits/mo

Pricing

No public pricing

Trial: $0/month (20 AI requests on signup, 7 requests/day, 50 free flow runs, up to 3 users)

Starter: $15/month billed annually or $25/month (20M standard AI tokens, 1,000 flow runs)

Premium: $30/month billed annually or $50/month (40M standard + 4M advanced AI tokens, 3,000 flow runs)

Elite: $80/month billed annually or $150/month (100M standard + 10M advanced AI tokens, 10,000 flow runs)

Tailored: $62/month (custom AI token allocation)

Free trial available

No public pricing

Core features

✦Fast tensor operations
✦Differentiable tensors for gradient-based optimization
✦Network connectivity
✦Integration with Bun and Flashlight
✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)

✦Automatic context-gathering from connected engineering sources
✦AI-generated code, tests and pull requests from tickets
✦Task planning that breaks complex work into subtasks
✦Auto-updating engineering documentation
✦Vector search over embedded project data
✦Multiple selectable AI models (GPT, Gemini, Claude, Llama, etc.)
✦Engineering productivity analytics dashboard

✦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

✦Build AI mini-apps from natural-language prompts
✦Visual editor for prompt/tool workflows
✦Share created apps with others
✦No-code AI app prototyping

✦Natural language to app generation
✦Support for both mobile and web app output
✦Deployment-ready output with responsive UI
✦Credit-based usage pricing pegged to AI provider costs
✦Rollover, non-expiring credits
✦Mobile companion app for building on the go

Use cases

→Creating and manipulating datasets
→Training small machine learning models
→Implementing advanced training and inference logic
→Building applications that require tensor computations

→Engineering teams automating ticket-to-PR workflows
→Developers wanting AI-assisted debugging and test generation
→Engineering managers tracking AI-driven productivity gains
→Teams centralizing documentation from scattered sources

→Building scalable single-page apps
→Enterprise web application development
→Performance-critical front ends
→Learning modern web development

→Prototyping an AI workflow quickly
→Sharing a custom AI mini-app
→Automating a task with chained prompts

→Founders prototyping a mobile app idea without hiring developers
→Non-technical users building internal tools or SaaS MVPs
→Teams needing quick websites or content management systems
→Developers experimenting with AI-assisted app scaffolding

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