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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.

GitLoop logo
GitLoop
✓ verifiedFree trial

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

11K visits/mo2.7K saves
CodebaseChat logo
CodebaseChat
✓ verifiedFreemium

Connects Git repos to answer plain-English questions about your code with file references and dependency context.

16x Prompt logo
16x Prompt
✓ verifiedFreemium

Local desktop app that assembles code-context prompts for LLMs, with API integrations, token tracking, and prompt saving.

21K visits/mo
Pricing

No public pricing

No public pricing

Free trial available

Starter: $0 (1 repo, 50 questions/mo)
Pro: $12/mo (10 repos, unlimited questions)
Team: $49/mo (unlimited repos, SSO)
Free: $0 (10 prompts/day)
Individual lifetime license: $48
Team lifetime license: $68
Core features
  • Chat with your repositories
  • Natural-language codebase search
  • Fast code indexing
  • AI pull-request and commit review
  • Automated documentation generation
  • AI unit-test generation
  • Natural-language search across a codebase
  • Architecture explanations and dependency graphs
  • Bug hunter that traces issues across files
  • AI code review before opening a PR
  • Automatic documentation generation
  • Multi-repo support via OAuth
  • Source-code context and prompt management
  • Custom and formatting instructions
  • BYOK API integrations (OpenAI, Claude, Gemini, etc.)
  • Token-limit tracking
  • Code-edit feature with visual diffs and backups
  • Local, offline prompt generation
Use cases
  • Onboard new developers to a codebase
  • Resolve bugs faster
  • Generate docs and tests automatically
  • Review pull requests with AI
  • Onboarding new engineers faster
  • Answering questions about a codebase
  • Understanding how components connect
  • Finding and diagnosing bugs
  • Generating documentation from code
  • Building context-rich prompts for AI coding
  • Comparing model outputs on the same task
  • Reusing saved prompts across tech stacks
  • Keeping code private during prompt creation
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