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IDE coding assistant for VS Code and JetBrains that uses your own API keys across 15+ model providers, with agentic mode and autocomplete.
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
Turns Git commits and PRs into AI-summarized daily or weekly reports delivered to Slack or email, no source access.
AI bot that reviews GitHub pull requests, flagging bugs, security and performance issues with detailed, consistent feedback.
No public pricing
No public pricing
Free trial available
Free trial available
- ✦BYOK access to 15+ model providers
- ✦Agentic planning-then-build mode
- ✦AI autocomplete
- ✦MCP connections to external systems
- ✦Custom rules and live context tracking
- ✦Local models via Ollama/LM Studio
- ✦VS Code and JetBrains plugins
- ✦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
- ✦AI-summarized commit and PR reports
- ✦Daily and weekly scheduled digests
- ✦Slack and email delivery
- ✦One-click OAuth or webhook setup
- ✦GitHub, GitLab and Bitbucket support
- ✦Templates for standups and reports
- ✦Automated AI reviews on GitHub PRs
- ✦Bug, security and performance detection
- ✦Detailed, consistent feedback
- ✦Interactive code-review tool for snippets
- ✦Multi-language explanations
- ✦Customizable review rules (Pro)
- ✦Self-host/custom LLM (Enterprise)
- →Code generation, refactoring and debugging
- →Control AI spend with your own keys
- →Switch between frontier models per task
- →Keep code private and data-sovereign
- →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
- →Keep stakeholders updated on what shipped
- →Replace manual status updates and standups
- →Give teams visibility into Git activity
- →Automate pull-request reviews
- →Catch issues before merge
- →Get plain-English code explanations
- →Keep review quality consistent