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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.

Sherpa Coder logo
Sherpa Coder
✓ verifiedFree

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

Continue logo
Continue
✓ verifiedFreemium

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

775K visits/mo
HumanLayer logo
HumanLayer
✓ verifiedFreemium

AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.

197K visits/mo
CodebaseChat logo
CodebaseChat
✓ verifiedFreemium

Connects Git repos to answer plain-English questions about your code with file references and dependency context.

Pricing

No public pricing

No public pricing

No public pricing

No public pricing

Starter: $0 (1 repo, 50 questions/mo)
Pro: $12/mo (10 repos, unlimited questions)
Team: $49/mo (unlimited repos, SSO)
Core features
  • 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
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • AI-powered summary of GitHub activities
  • Weekly insights into your GitHub contributions
  • AI coding IDE with agent orchestration
  • Run and manage multiple agent sessions
  • Task, artifact and collaboration tools
  • Bring-your-own AI subscription or API keys
  • Cloud-scale agent execution
  • Natural-language search across a codebase
  • Architecture explanations and dependency graphs
  • Bug hunter that traces issues across files
  • AI code review before opening a PR
  • Automatic documentation generation
  • Multi-repo support via OAuth
Use cases
  • 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
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Stay informed about your GitHub contributions and progress.
  • Track your development activities and identify areas for improvement.
  • Shipping code faster with AI agents
  • Coordinating agent work across a team
  • Managing tasks and artifacts in one place
  • Running many parallel agent sessions
  • Onboarding new engineers faster
  • Answering questions about a codebase
  • Understanding how components connect
  • Finding and diagnosing bugs
  • Generating documentation from code
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