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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.

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
MarsCode logo
MarsCode
✓ verifiedFree

AI-powered IDE with code completion, generation, explanation and debugging, plus a cloud dev environment, for developers.

69K visits/mo
Google Opal logo
Google Opal
✓ verifiedFree

Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.

2.1M visits/mo
Code Arena logo
Code Arena
✓ verifiedFree

Side-by-side arena to compare AI coding models and build multi-file apps, with a public leaderboard and battle mode.

35M visits/mo201 saves
Pricing
Enterprise: starting at $16K (includes AI feature credits, scales with team size)

No public pricing

No public pricing

No public pricing

Core features
  • 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
  • AI code completion and snippet generation
  • Natural-language code generation
  • Code explanation and AI Q&A
  • Automated bug detection and fixes
  • Zero-config cloud development environment
  • Project creation from templates or Git
  • Build AI mini-apps from natural-language prompts
  • Visual editor for prompt/tool workflows
  • Share created apps with others
  • No-code AI app prototyping
  • Head-to-head model comparison
  • Battle mode matchups
  • Public model leaderboard
  • Multi-file app generation
  • File uploads as input
Use cases
  • 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
  • Writing and completing code faster with AI
  • Onboarding to unfamiliar codebases
  • Debugging and optimizing code
  • Spinning up dev environments in the browser
  • Prototyping an AI workflow quickly
  • Sharing a custom AI mini-app
  • Automating a task with chained prompts
  • Choosing the best coding model
  • Benchmarking AI code quality
  • Prototyping small apps
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