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✓ verifiedFreemium
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
👁 775K/mo
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Refraction.dev
✓ verifiedFreemium
AI coding assistant for editors and IDEs that explains, refactors, documents, and generates code across 56 languages.
👁 2.8K/mo
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EverSQL
✓ verifiedFree
AI-powered SQL optimizer for PostgreSQL and MySQL that auto-rewrites and indexes queries; now free as part of Aiven.
👁 6.5K/mo
Pricing
No public pricing
No public pricing
Hobby: Free (10 code generations, 1 user)
Pro: $8/mo (unlimited generations, editor extensions)
Team: $14/user/mo (multiple members, shared history)
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)
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Bug detection and fix suggestions
- ✦Code and CSS framework conversion
- ✦Unit test and documentation generation
- ✦Regex, SQL query, and CI/CD pipeline generation
- ✦Code explanation and style checking
- ✦Editor extensions for VS Code, Sublime, JetBrains, Visual Studio
- ✦Automatic SQL query optimization
- ✦Query rewriting and indexing suggestions
- ✦Non-intrusive performance sensor
- ✦Ongoing performance insights
- ✦Database cost-reduction recommendations
- ✦PostgreSQL and MySQL support
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Generating unit tests for existing functions
- →Refactoring legacy code to modern practices
- →Producing inline documentation automatically
- →Learning new programming languages or concepts via AI explanations
- →Optimizing slow SQL queries
- →Monitoring database performance
- →Reducing database CPU and storage costs
- →Getting indexing recommendations
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