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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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GitFluence
✓ verifiedFree
Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.
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Text2SQL
✓ verifiedFreemium
Converts natural language into SQL across databases; useful real dev tool.
👁 20K/mo♥ 14K
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Gemini Code Assist
✓ verifiedFreemium
Google's AI coding assistant for code completion, generation, chat and review across IDEs and GitHub.
👁 559K/mo
Pricing
No public pricing
No public pricing
No public pricing
Basic: $8 USD / month billed annually ($4)
Pro: $25 USD / month billed annually ($19)
Enterprise: Custom USD / month
No public pricing
Core features
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Natural-language to Git command suggestions
- ✦AI-driven command matching
- ✦Copy-ready command output
- ✦Git guides and reference
- ✦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)
- ✦Text to SQL conversion
- ✦AI query generation, explanation, fixing, and optimization
- ✦Support for multiple database types
- ✦Database schema integration for accuracy
- ✦Public API for integration with other tools
- ✦AI code completion and suggestions
- ✦Natural-language code generation
- ✦In-IDE chat assistance
- ✦AI code review
- ✦IDE integrations (VS Code, JetBrains, etc.)
- ✦GitHub integration
Use cases
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Find the correct Git command quickly
- →Learn Git syntax by describing a goal
- →Avoid memorizing Git flags
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Generating SQL queries from natural language descriptions
- →Explaining complex SQL queries
- →Fixing errors in existing SQL code
- →Optimizing SQL queries for performance
- →Building custom SQL AI tools using the API
- →Speeding up coding with AI completions
- →Generating code from plain-language prompts
- →Getting in-editor help and explanations
- →Reviewing pull requests with AI
- →Understanding unfamiliar codebases
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