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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Kiro AI
✓ verifiedFreemium

Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.

👁 3.8M/mo
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✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

👁 775K/mo
Sherpa Coder
✓ verifiedFree

VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.

Angular.dev
✓ verifiedFree

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

👁 1.1M/mo
Pricing
Free: $0/mo (50 credits)
Pro: $20/user/mo (1,000 credits)
Pro+: $40/user/mo (2,000 credits)
Pro Max: $100/user/mo (5,000 credits)
Power: $200/user/mo (10,000 credits)

No public pricing

No public pricing

No public pricing

No public pricing

Core features
  • Spec-driven development (requirements, design, tasks)
  • Parallel agents, local or cloud
  • Property-based and correctness testing
  • Works in IDE, CLI, web and mobile
  • Multiple models (Claude, open-weight, Auto)
  • Headless CLI for CI/CD
  • Context from tools like Figma and Terraform
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • 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
  • Design canvas integrated directly into the IDE (VSCode/Cursor)
  • Agent-driven MCP canvas based on open design format
  • AI Multiplayer for generating screens and flows in parallel
  • Design as Code: Design files live in repo, versioned with Git
  • Pixel-perfect vector-to-code workflow
Use cases
  • Turning prompts into maintainable, spec-matched code
  • Catching bugs unit tests miss
  • Reviewing PRs and fixing bugs in CI/CD
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • 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
  • Designing new products and features with pixel-perfect precision without leaving the development environment.
  • Eliminating design handoffs by having design and code live under one roof.
  • Accelerating workflow by using AI multiplayer to generate UI components and flows.
  • Shipping production-ready apps with guaranteed code-design alignment.
  • Integrating existing design systems directly from the codebase.
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