Supermaven vs Cody by Sourcegraph
Detailed side-by-side comparison to help you choose the right tool
Supermaven
🔴DeveloperAI Development Assistants
AI code completion tool with extremely fast suggestions and 1 million token context window for understanding large codebases.
Was this helpful?
Starting Price
CustomCody by Sourcegraph
🔴DeveloperAI Development Assistants
AI coding assistant powered by Sourcegraph's code intelligence platform, providing full codebase context awareness across repositories for code generation, Q&A, and refactoring.
Was this helpful?
Starting Price
FreeFeature Comparison
Scroll horizontally to compare details.
Supermaven - Pros & Cons
Pros
- ✓Industry-leading speed at 250ms latency, roughly 3x faster than competitors like GitHub Copilot
- ✓1 million token context window on Pro/Team plans allows understanding of entire large codebases across multiple files
- ✓Integrated chat supports multiple AI models (GPT-4o, Claude Sonnet, GPT-4) without leaving the editor
- ✓Works across VS Code, JetBrains IDEs, and Neovim — covering most professional development setups
- ✓Generous free tier with fast completions and no usage caps on core code suggestions
- ✓Adapts to individual coding style and project conventions over time on paid plans
Cons
- ✗Free tier lacks the 1 million token context window, limiting its effectiveness on large codebases
- ✗Coding style adaptation is restricted to Pro and Team plans, reducing personalization for free users
- ✗No support for editors beyond VS Code, JetBrains, and Neovim (e.g., no Emacs, Sublime Text, or browser-based IDEs)
- ✗7-day data retention limit applies across all plans, which may concern developers wanting longer history
- ✗Chat credits are capped at $5/month per user even on paid plans, limiting heavy chat usage
Cody by Sourcegraph - Pros & Cons
Pros
- ✓Industry-leading codebase context awareness powered by Sourcegraph's code intelligence — understands cross-repository dependencies, call graphs, and type hierarchies
- ✓Multi-LLM flexibility lets developers choose the best AI model for each task without workflow changes
- ✓Strong enterprise adoption with proven scale — trusted by 4/6 top US banks and 7/10 top public tech companies
- ✓Amp agentic coding extends capabilities with autonomous multi-mode agent (Smart, Rush, Deep) and team thread sharing
- ✓Comprehensive IDE support covering VS Code, JetBrains, Visual Studio, Neovim, and Zed
- ✓Code attribution checking provides critical licensing compliance guardrails for enterprise teams
- ✓Privacy-first architecture — no training on customer code, full data isolation options, detailed audit logs
- ✓Auto-edit feature proactively suggests changes based on cursor position and editing patterns
Cons
- ✗Full enterprise context features require deploying and configuring Sourcegraph's code intelligence platform
- ✗Free tier usage limits are more restrictive than some competitors like GitHub Copilot's free offering
- ✗Maximum value requires proper codebase indexing setup — context quality scales with indexing completeness
- ✗Smaller extension marketplace compared to GitHub Copilot's broader third-party integration ecosystem
- ✗Amp (the agentic evolution) is a separate product requiring additional onboarding and different workflows
- ✗Enterprise deployment complexity can be significant for smaller teams without dedicated DevOps resources
- ✗Learning curve to leverage advanced features like custom prompts, context filters, and @-mentions effectively
Not sure which to pick?
🎯 Take our quiz →🦞
🔔
Price Drop Alerts
Get notified when AI tools lower their prices
Get weekly AI agent tool insights
Comparisons, new tool launches, and expert recommendations delivered to your inbox.
Ready to Choose?
Read the full reviews to make an informed decision