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Text2SQL
✓ verifiedFreemium
Converts natural language into SQL across databases; useful real dev tool.
👁 20K/mo♥ 14K
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Code Autopilot
✓ verifiedFreemium
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
✕
Aide Dev
✓ verifiedPaid
Aide helps developers code faster with parallel agents and automated workflows.
👁 7.6K/mo
✕
devActivity
✓ verifiedFreemium
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
👁 52K/mo
Pricing
Basic: $8 USD / month billed annually ($4)
Pro: $25 USD / month billed annually ($19)
Enterprise: Custom USD / month
No public pricing
No public pricing
Standard: $49 per month
Free: $0/contributor (up to 7 contributors, 90-day retention)
Premium: $10/contributor (unlimited contributors, AI insights)
Core features
- ✦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
- ✦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)
- ✦Chat inside GitHub issues and PRs
- ✦Task-to-implementation plans with code
- ✦Automatic bug-fix suggestions
- ✦Pull-request summaries for faster review
- ✦Full-codebase context
- ✦GitHub-native integration
- ✦Parallel Agents for faster coding
- ✦GitHub native integration
- ✦Automated PR workflow
- ✦Smart PR suggestions
- ✦Automatic code reviews
- ✦Real-time progress tracking
- ✦Contribution and work-quality analytics
- ✦Automated, AI-powered performance reviews
- ✦Retrospective insights
- ✦Operational bottleneck alerts
- ✦Gamification with XP, levels and leaderboards
- ✦Uses Git metadata without accessing source code
Use cases
- →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
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Speeding up pull-request reviews
- →Implementing features from task descriptions
- →Debugging with AI-proposed solutions
- →Answering questions about a repo
- →Boosting a solo developer's output
- →Automating code reviews
- →Generating PRs automatically
- →Improving code quality through continuous improvements
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
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