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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.

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✓ verifiedFreemium

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

775K visits/mo
BasicAI Cloud logo
BasicAI Cloud
✓ verifiedFreemium

Data-annotation platform with AI-assisted labeling tools and team workflows for building ML training datasets.

22K visits/mo
Codeflying logo
Codeflying
✓ verifiedFreemium

Vibe-coding builder creating full-stack apps by chatting with AI.

118K visits/mo
Google Opal logo
Google Opal
✓ verifiedFree

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

2.1M visits/mo
Pricing

No public pricing

No public pricing

No public pricing

Free: 0$
Basic: 25$
Advanced: 40$
Premium: 200$

No public pricing

Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • AI-assisted data annotation tools
  • Training-data platform (BasicAI Cloud)
  • Team and project management
  • Annotation services
  • 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
  • CodeFlying enables full-stack app creation via chat in minutes
  • Build AI mini-apps from natural-language prompts
  • Visual editor for prompt/tool workflows
  • Share created apps with others
  • No-code AI app prototyping
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Labeling images and data for ML models
  • Managing annotation teams and projects
  • Producing training datasets at scale
  • 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.
  • Prototyping an AI workflow quickly
  • Sharing a custom AI mini-app
  • Automating a task with chained prompts
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