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AI tool for engineering teams that automates code review, status updates, and answers questions about what's changing in code.
Turns Git commits and PRs into AI-summarized daily or weekly reports delivered to Slack or email, no source access.
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.
macOS video editor built for AI, letting agents like Claude edit your timeline and generating image/video/audio clips inline.
No public pricing
No public pricing
Free trial available
No public pricing
- ✦AI code review
- ✦Automatic engineering status updates
- ✦Agent that answers questions and takes action
- ✦Metrics on coding time and project focus
- ✦Pushed vs landed tracking
- ✦Commit and contributor insights
- ✦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
- ✦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
- ✦Multi-track video/audio/image/text timeline
- ✦Inline AI image, video and audio generation
- ✦MCP server for Claude, Cursor, Codex to edit timeline
- ✦Integrations with Kling, Seedance, Veo and more
- ✦Export to Premiere and DaVinci (XML)
- ✦Free editor, credit-based AI
- →Automating code reviews
- →Keeping stakeholders updated on engineering progress
- →Understanding what's changing in a codebase
- →Tracking team productivity metrics
- →Keep stakeholders updated on what shipped
- →Replace manual status updates and standups
- →Give teams visibility into Git activity
- →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
- →Editing video with AI assistance
- →Generating B-roll without leaving the editor
- →Mixing own footage with AI clips
- →Driving edits from AI agents via MCP
