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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.

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
Netify logo
Netify
✓ verifiedPaid

Local deep packet inspection and network intelligence giving businesses full visibility into application, VPN and Tor traffic.

253K visits/mo
Firebase Studio logo
Firebase Studio
✓ verifiedFree

Browser-based AI dev workspace by Google for full-stack apps; being sunset on 22 Mar 2027, no new workspaces.

531K visits/mo
Codeflying logo
Codeflying
✓ verifiedFreemium

Vibe-coding builder creating full-stack apps by chatting with AI.

118K visits/mo
Defang logo
Defang
✓ verifiedFreemium

Developer tool that deploys Docker Compose apps (with LLMs and databases) into your own AWS, GCP or Azure account via one command.

20K visits/mo
Pricing

No public pricing

No public pricing

No public pricing

Free: 0$
Basic: 25$
Advanced: 40$
Premium: 200$
Starter: $0 (1 cloud account)
Pro: $49/mo (1 account, +$29/mo per extra)
Enterprise: $499/mo (3 accounts, +$49/mo per extra)
Core features
  • AI code completion and suggestions
  • Natural-language code generation
  • In-IDE chat assistance
  • AI code review
  • IDE integrations (VS Code, JetBrains, etc.)
  • GitHub integration
  • Local deep packet inspection agent
  • Application identification data feeds
  • VPN and Tor IP datasets
  • Network informatics and analytics
  • Developer documentation
  • Cloud workspaces for full-stack development
  • App Prototyping agent from natural language
  • Gemini AI for coding, debugging and docs
  • Repo import from GitHub, GitLab and Bitbucket
  • Web previews and Android emulators
  • Deploy to Firebase App Hosting, Hosting or Cloud Run
  • CodeFlying enables full-stack app creation via chat in minutes
  • One-command deploy from Docker Compose
  • Deploys into your own or a customer's cloud account
  • Native managed LLM access (Bedrock/Vertex/Azure AI)
  • Managed Postgres, MongoDB and Redis
  • Auto-configured IAM, VPC, TLS and load balancing
  • Open-source CLI and cloud providers
Use cases
  • 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
  • Classify application traffic on a network
  • Detect VPN and Tor usage
  • Feed DPI data into security and analytics tools
  • Prototyping apps from a prompt or mockup
  • Building full-stack apps in the browser
  • Collaborating and sharing preview URLs
  • Deploying and monitoring apps quickly
  • Shipping AI agents and web apps to production
  • Deploying the same app across many customer clouds
  • Agencies deploying into client cloud accounts
  • Avoiding hand-written Terraform or Kubernetes
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