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CodeRabbit logo
CodeRabbit
✓ verifiedPaid

AI code review tool with huge adoption; ~870K visits and 1.4M saves.

870K visits/mo1.5M saves
21K visits/mo

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves
Palmier logo
Palmier
✓ verifiedFreemium

macOS video editor built for AI, letting agents like Claude edit your timeline and generating image/video/audio clips inline.

4.5K visits/mo
Pricing
Free: $0
Lite: $12
Pro: $24
Enterprise: Talk to us

No public pricing

DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month

No public pricing

Free: $0 (editor + MCP)
Pro: $29/mo (5,000 credits)
Max: $69/mo (12,000 credits)
Core features
  • AI-powered code reviews
  • Contextual line-by-line feedback
  • Critical change flagging
  • Bot interaction
  • Direct commit from GitHub
  • Integration with Jira & Linear
  • Agentic Chat with CodeRabbit
  • Product analytics dashboards
  • Customizable reports
  • Docstrings generation
  • Developer-first platform for AI-powered integrations
  • Secure, isolated sandboxes for running JavaScript/Python code
  • Automatic management of npm/PyPI dependencies
  • Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
  • Yep Agent (prompt → runnable processes)
  • MCP Server/Tools (convert code into AI agent tools)
  • Serverless runtime (YepCode Run) and SDK access
  • 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)
  • 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
Use cases
  • Automated code review for pull requests
  • Identifying potential bugs and vulnerabilities
  • Improving code quality and consistency
  • Onboarding new developers with AI-driven guidance
  • Building complex API integrations that require custom code and logic beyond what no-code tools offer.
  • Safely running AI-generated scripts in isolated environments with secrets management.
  • Automating workflows that require large datasets, loops, branching, or custom dependencies.
  • Connecting AI agents to external databases, APIs, and services using MCP tools.
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • 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
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