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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
Gemini Code Assist logo
Gemini Code Assist
✓ verifiedFreemium

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

559K visits/mo
Zeabur logo
Zeabur
✓ verifiedFreemium

Cloud deployment platform for developers that auto-detects code and frameworks to ship apps, servers, and AI-hub services with one push.

455K visits/mo72 saves
Jam logo
Jam
✓ verifiedFreemium

One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.

730K visits/mo2.9K saves
Pricing
Enterprise: starting at $16K (includes AI feature credits, scales with team size)

No public pricing

Free: $0/mo (1 manageable server)
Dev: $5/mo (first 14 days free, 3 servers)
Pro: $19/mo (first 14 days free, 10 servers)
Team: $79/mo (3 seats included, +$24/seat/mo)

Free trial available

Free: $0 (30 Jams/mo, 5 recording links)
Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

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 suggestions
  • Natural-language code generation
  • In-IDE chat assistance
  • AI code review
  • IDE integrations (VS Code, JetBrains, etc.)
  • GitHub integration
  • Automatic language and framework detection and deployment
  • Git-push CI/CD with zero configuration
  • Auto-scaling compute resources
  • Built-in object storage similar to S3
  • One-click managed VPS purchase
  • Unified AI Hub API for multiple AI models
  • Domain and DNS management
  • In-browser file management console
  • One-click bug capture via browser extension
  • Automatic repro steps
  • Console, network and device logs
  • Instant replay of recent activity
  • Backend tracing and an AI debugger
  • Integrations with Jira, Linear, GitHub and Slack
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
  • 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
  • Developers deploying apps without manual server config
  • Teams wanting predictable, fixed-plan hosting costs
  • Startups needing quick CI/CD pipelines
  • Projects needing bundled AI model access alongside hosting
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
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