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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

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✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

775K visits/mo
21K visits/mo
CodeRabbit logo
CodeRabbit
✓ verifiedPaid

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

870K visits/mo1.5M saves
Code Autopilot logo
Code Autopilot
✓ verifiedFreemium

AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.

Void Editor logo
Void Editor
✓ verifiedFree

Free open-source VS Code fork letting developers connect directly to any AI model without a proxy, for privacy-focused coders.

Pricing

No public pricing

DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
Free: $0
Lite: $12
Pro: $24
Enterprise: Talk to us

No public pricing

No public pricing

Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • 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
  • 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
  • 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
  • Tab-key autocomplete suggestions
  • Inline quick-edit on selected code
  • Chat with agent, gather, and normal modes
  • Direct connections to any LLM provider, no proxy backend
  • One-click import of VS Code themes and settings
  • Checkpoints to track and revert LLM-made changes
  • Lint error detection
  • Fast apply designed for large, 1000+ line files
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • 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.
  • Automated code review for pull requests
  • Identifying potential bugs and vulnerabilities
  • Improving code quality and consistency
  • Onboarding new developers with AI-driven guidance
  • 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
  • Switching from Cursor or Windsurf while keeping data private
  • Running local open models like DeepSeek or Llama instead of paying per API call
  • Connecting directly to frontier models such as Claude or Gemini
  • Editing and refactoring large codebases with AI help
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