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Aide Dev
✓ verifiedPaid
Aide helps developers code faster with parallel agents and automated workflows.
👁 7.6K/mo
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Code Autopilot
✓ verifiedFreemium
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
✕
devActivity
✓ verifiedFreemium
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
👁 52K/mo
Pricing
Standard: $49 per month
Teams: $30 /developer /month
No public pricing
No public pricing
Free: $0/contributor (up to 7 contributors, 90-day retention)
Premium: $10/contributor (unlimited contributors, AI insights)
Core features
- ✦Parallel Agents for faster coding
- ✦GitHub native integration
- ✦Automated PR workflow
- ✦Smart PR suggestions
- ✦Automatic code reviews
- ✦Real-time progress tracking
- ✦Automatic commit summaries
- ✦Automatic PR descriptions and reviews
- ✦High-signal bug detection and fixing in PRs
- ✦Real-time project summaries
- ✦Scheduled engineering standup summaries
- ✦Q&A with your codebase and git log (Ask Macroscope Anything)
- ✦Team productivity statistics
- ✦Codebase activity summarization
- ✦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
- ✦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
- →Automating code reviews
- →Generating PRs automatically
- →Improving code quality through continuous improvements
- →Understanding product changes and how engineering time is allocated.
- →Providing leaders with actionable insights into development progress.
- →Enabling engineers to focus more on building and less on reporting.
- →Reducing time-to-root-cause in troubleshooting.
- →Organizing project plans and release artifacts.
- →Illuminating areas that lack clear documentation.
- →Helping product leads stay informed on engineering progress and developer productivity.
- →Generating release notes automatically.
- →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 developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
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