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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/mo
Lovable
✓ verifiedFreemium

Chat-based AI builder turning ideas into full software products.

👁 35M/mo69K
Aide Dev
✓ verifiedPaid

Aide helps developers code faster with parallel agents and automated workflows.

👁 7.6K/mo

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

5.2K
Ai2sql
✓ verifiedFreemium

Text-to-SQL tool that writes dialect-aware queries and gives AI agents governed, read-only database access.

9.0K
Pricing

No public pricing

No public pricing

Free trial available

Standard: $49 per month

No public pricing

Start: $5/mo
Pro: $11/mo (unlimited queries)
Team: $23/mo (5 users)

Free trial available

Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • AI-powered software development
  • Chat-based interface for specifying requirements
  • Full-stack engineering capabilities
  • Rapid app prototyping
  • Parallel Agents for faster coding
  • GitHub native integration
  • Automated PR workflow
  • Smart PR suggestions
  • Automatic code reviews
  • Real-time progress tracking
  • 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)
  • Natural-language to SQL
  • Semantic schema layer
  • Governed MCP/REST gateway
  • Read-only query enforcement
  • 7 database connectors
  • SQL explain, optimize and format
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Creating developer portfolios
  • Building real estate listings applications
  • Developing file uploaders
  • Generating slide presentations
  • Automating code reviews
  • Generating PRs automatically
  • Improving code quality through continuous improvements
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Generating SQL without coding
  • Giving agents safe DB access
  • Explaining and fixing queries
  • Querying live databases
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