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✓ verifiedFreemium

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

👁 775K/mo
Gemini Code Assist
✓ verifiedFreemium

Google's AI coding assistant for code completion, generation, chat and review across IDEs and GitHub.

👁 559K/mo
GitLoop
✓ verifiedFree trial

AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.

👁 11K/mo2.7K
The New GitBook
✓ verifiedFreemium

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

👁 653K/mo2.9K
Sequel
✓ verifiedFreemium

Governed data layer connecting marketing, product and finance sources to AI agents for plain-language querying.

👁 6.4K/mo4.3K
Pricing

No public pricing

No public pricing

No public pricing

Free trial available

No public pricing

Free trial available

Free: $0/mo (1 data source, 1 user)
Pro: $19/mo (unlimited data sources, 1 user)
Team: $99/mo (unlimited data sources and users, Slack access)
Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • AI code completion and suggestions
  • Natural-language code generation
  • In-IDE chat assistance
  • AI code review
  • IDE integrations (VS Code, JetBrains, etc.)
  • GitHub integration
  • Chat with your repositories
  • Natural-language codebase search
  • Fast code indexing
  • AI pull-request and commit review
  • Automated documentation generation
  • AI unit-test generation
  • 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
  • Unified connection to 100+ marketing/product/finance data sources
  • MCP-compatible interface usable by any AI agent
  • Learns custom metric definitions and joins across sources
  • Secure credential gateway that keeps raw keys from agents
  • Cross-source joins spanning databases, warehouses and product data
  • Fine-grained audit logs of every query
  • Live dashboards and debugging in plain English
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Speeding up coding with AI completions
  • Generating code from plain-language prompts
  • Getting in-editor help and explanations
  • Reviewing pull requests with AI
  • Understanding unfamiliar codebases
  • Onboard new developers to a codebase
  • Resolve bugs faster
  • Generate docs and tests automatically
  • Review pull requests with AI
  • 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
  • Marketing teams asking AI agents for campaign or ROAS reports
  • Data teams governing access to metrics across tools
  • Agencies building AI-driven client reporting
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