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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
Cody logo
Cody
✓ verifiedPaid

Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.

245K visits/mo
The New GitBook logo
The New GitBook
✓ verifiedFreemium

Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.

653K visits/mo2.9K saves
Kodus logo
Kodus
✓ verifiedFreemium

Open-source, model-agnostic AI code review tool positioned as a CodeRabbit alternative with control over models and costs.

18K visits/mo
Pricing

No public pricing

Enterprise: starting at $16K (includes AI feature credits, scales with team size)

No public pricing

Free trial available

Community: Free (self-hosted, BYOK, unlimited PRs)
Teams: $10/month per developer (plus tokens)

Free trial available

Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • Codebase-aware developer chat
  • AI code completions and inline edits
  • Customizable and shareable prompts
  • Automatic bug identification and debugging help
  • Context filters to exclude sensitive repos
  • Integrates with major code hosts and IDEs
  • Publish structured documentation sites
  • Git sync for docs-as-code workflows
  • AI setup agent to build and import docs
  • GitBook MCP server for AI access
  • Enterprise controls
  • Free tier to start
  • Model-agnostic reviews with your own API keys (BYOK)
  • Custom review rules written in plain language
  • Detects rule files from Cursor, Copilot, and Claude
  • Business-rule validation from Jira, Linear, and Notion
  • Automatic technical-debt tracking
  • Engineering delivery metrics dashboard
  • Self-hosted or cloud, open source
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Engineers asking questions about an unfamiliar large codebase
  • Teams standardizing common coding tasks with shared prompts
  • Developers debugging errors faster with AI-assisted context
  • Enterprises running large-scale code migrations
  • Publish product and API documentation
  • Maintain docs-as-code with Git sync
  • Make docs consumable by AI assistants
  • Import existing docs into a hosted site
  • Automated pull-request review
  • Enforcing team-specific code standards
  • Self-hosting AI review to control costs
  • Tracking technical debt and delivery metrics
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