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EverSQL
✓ verifiedPaid
AI SQL optimizer for PostgreSQL and MySQL; well-regarded niche developer tool.
👁 6.5K/mo
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Refraction.dev
✓ verifiedFreemium
AI code-generation tool creating tests, docs and refactors for developers.
👁 2.8K/mo
Pricing
No public pricing
No public pricing
Gemini Code Assist for individuals (preview): $0/user/month
Gemini Code Assist Standard: $19/user/month (annual commitment) or $22.80/user/month (no commitment)
Gemini Code Assist Enterprise: $45/user/month (annual commitment) or $54/user/month (no commitment)
Free: $0 /month
Starter: $129 /month
Plus: $490 /month
Enterprise: $2898 /month
Hobby: Free
Pro: $8 per month
Team: $14 per user per month
Pro: $80 per year
Team: $140 per user per year
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)
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- ✦AI-powered code completion and generation
- ✦Conversational assistant in IDEs
- ✦Automated code reviews in GitHub
- ✦Integration with Firebase, BigQuery, Apigee, and Application Integration
- ✦Customizable code suggestions based on private source code repositories (Enterprise edition)
- ✦Automatic SQL Query Optimization
- ✦Ongoing AI-based Performance Insights
- ✦Cost Reduction Recommendations
- ✦Code generation in 56 languages
- ✦Unit test generation
- ✦Code refactoring
- ✦Inline documentation creation
- ✦Bug detection
- ✦Code conversion between languages
- ✦Function creation
- ✦CSP generation
- ✦CSS style conversion
- ✦Debug statement addition
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
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- →Accelerate code development with AI-powered suggestions
- →Reduce code review time and improve code quality
- →Build integrations with AI assistance in various Google Cloud services
- →Generate SQL statements from natural language in Databases
- →Optimizing slow SQL queries to improve application performance.
- →Monitoring database performance to identify potential bottlenecks.
- →Reducing database costs by identifying redundant indexes and schema optimizations.
- →Generating unit tests for existing codebases
- →Refactoring legacy code to modern practices
- →Creating inline documentation for better code understanding
- →Converting code from one language to another
- →Generating SQL queries based on requirements
- →Creating CI/CD pipelines for automated deployment
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