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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 visits/mo
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devActivity
✓ verifiedFreemium
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
52K visits/mo
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Tusk AI
✓ verifiedFreemium
AI test-generation layer for engineering teams using coding agents, producing unit/API tests based on real production traffic.
2.0K saves
Pricing
No public pricing
No public pricing
Free: $0/contributor (up to 7 contributors, 90-day retention)
Premium: $10/contributor (unlimited contributors, AI insights)
No public pricing
Free: $0/mo (individual developers)
Team: $50/mo per active developer
Free trial available
Core features
- ✦Natural language to SQL conversion
- ✦AI code completion and suggestions
- ✦Natural-language code generation
- ✦In-IDE chat assistance
- ✦AI code review
- ✦IDE integrations (VS Code, JetBrains, etc.)
- ✦GitHub 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
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- ✦Generates unit and API tests from real production traffic patterns
- ✦Self-healing test maintenance as code changes over time
- ✦Runs via a single CLI command locally or in CI
- ✦CoverBot to backfill test coverage on existing codebases
- ✦Automated code review comments posted directly on pull requests
- ✦Observability and monitoring for test and coverage trends
Use cases
- →Generating SQL queries from text descriptions.
- →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
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
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- →Catching regressions in PRs generated by AI coding agents
- →Backfilling test coverage on a legacy codebase
- →Monitoring API contracts for breaking changes
- →Safely refactoring code with an automated regression safety net
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