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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
Sherpa Coder logo
Sherpa Coder
✓ verifiedFree

VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.

CloudKeeper Tuner logo
CloudKeeper Tuner
✓ verifiedPaid

Automated AWS usage optimization platform giving engineers 150+ recommendations across 50+ services, averaging ~10% savings.

43K visits/mo
Continue logo
Continue
✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

775K visits/mo
Base44 logo
Base44
✓ verifiedFreemium

No-code AI platform that builds full-stack apps, websites and agents from plain-language prompts with hosting built in.

18M visits/mo
Pricing

No public pricing

Free trial available

No public pricing

CloudKeeper Tuner: 2% of monthly AWS bill (1% for CloudKeeper AZ/EDP+ customers)

Free trial available

No public pricing

Free: $0
Starter: $16/mo
Builder: $40/mo
Pro: $80/mo
Elite: $160/mo
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
  • in-editor chat with OpenAI assistants
  • workspace source-code context sharing
  • support for custom, user-defined assistants
  • secure management of the user's OpenAI account
  • 150+ recommendations across 50+ AWS services
  • Zombie and unused resource cleanup
  • Over-provisioned rightsizing
  • Idle-resource scheduler
  • SpotBot for ECS Fargate spot/on-demand switching
  • AWS console extension with Slack/Teams alerts
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • Prompt-to-app full-stack generation
  • Built-in backend, database and auth
  • One-click integrations (Slack, Notion, HubSpot, etc.)
  • Instant hosting and custom domains
  • Superagents for automated workflows
  • GitHub sync and code export
Use cases
  • Onboard new developers to a codebase
  • Resolve bugs faster
  • Generate docs and tests automatically
  • Review pull requests with AI
  • getting coding help without switching out of VS Code
  • using a personalized OpenAI assistant tuned to a project
  • quick in-editor Q&A while writing code
  • Cutting AWS spend automatically
  • Rightsizing over-provisioned resources
  • Scheduling idle resources off-hours
  • Giving DevOps in-console cost recommendations
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Building internal tools and dashboards
  • Launching websites and landing pages
  • Creating customer portals and CRMs
  • Deploying AI agents that automate tasks
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