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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
✓ verifiedFree trial

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

👁 11K/mo2.7K
Cody
✓ verifiedPaid

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

👁 245K/mo
Workik
✓ verifiedFreemium

AI coding assistant that gathers project context to plan, generate, test and ship code across the SDLC via IDE and chat integrations.

👁 210K/mo
Lovable
✓ verifiedFreemium

AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.

👁 35M/mo69K
Pricing

No public pricing

Free trial available

Enterprise: starting at $16K (includes AI feature credits, scales with team size)
Trial: $0/month (20 AI requests on signup, 7 requests/day, 50 free flow runs, up to 3 users)
Starter: $15/month billed annually or $25/month (20M standard AI tokens, 1,000 flow runs)
Premium: $30/month billed annually or $50/month (40M standard + 4M advanced AI tokens, 3,000 flow runs)
Elite: $80/month billed annually or $150/month (100M standard + 10M advanced AI tokens, 10,000 flow runs)
Tailored: $62/month (custom AI token allocation)

Free trial available

No public pricing

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
  • 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
  • Automatic context-gathering from connected engineering sources
  • AI-generated code, tests and pull requests from tickets
  • Task planning that breaks complex work into subtasks
  • Auto-updating engineering documentation
  • Vector search over embedded project data
  • Multiple selectable AI models (GPT, Gemini, Claude, Llama, etc.)
  • Engineering productivity analytics dashboard
  • Chat-to-app and website generation
  • Real-time prototype building
  • One-click deploy and hosting
  • Templates to start projects
  • Credit-based building with shared workspaces
  • You own your code and data
Use cases
  • Onboard new developers to a codebase
  • Resolve bugs faster
  • Generate docs and tests automatically
  • Review pull requests with AI
  • 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
  • Engineering teams automating ticket-to-PR workflows
  • Developers wanting AI-assisted debugging and test generation
  • Engineering managers tracking AI-driven productivity gains
  • Teams centralizing documentation from scattered sources
  • Build web apps without coding
  • Prototype product ideas quickly
  • Create landing pages and sites
  • Ship internal tools
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