THE COMPARISON / A CLOSER LOOK
Cody by Sourcegraph vs Devin
Compare the listed plans, useful capabilities, and practical tradeoffs.
Prices and features reflect editorial records. Check vendor terms before you buy; documentary checks do not imply hands-on testing.
Cody by Sourcegraph
🔴DeveloperAI Development Assistants
Cody is Sourcegraph's AI coding assistant that uses the Sourcegraph code graph for repo-wide context, ships across VS Code/JetBrains/CLI, and is priced from…
SOURCE-CHECK COVERAGE
No scoped source-check record shown. Check current pricing and vendor terms before buying.
Starting Price
FreeDevin
🔴DeveloperAI software engineer
Devin review for engineering teams: AI software engineer features, pricing, MCP integrations, enterprise controls, pros, cons, and use cases.
SOURCE-CHECK COVERAGE
No scoped source-check record shown. Check current pricing and vendor terms before buying.
Starting Price
$500/moFeature Comparison
Focus the table and use arrow keys to scroll when columns extend beyond the screen.
Cody by Sourcegraph - Pros & Cons
Pros
- ✓Deep codebase context via Sourcegraph's Code Search API, pulling relevant symbols and usage patterns across entire codebases for more accurate suggestions
- ✓Multi-LLM support lets users choose between Claude, GPT-4o, Gemini and other models, and enterprise customers can bring their own keys
- ✓Wide IDE coverage including VS Code, JetBrains, Visual Studio (experimental), a web interface in the Sourcegraph platform, and CLI access
- ✓Strong fit for large monorepos and polyrepo enterprise environments where cross-repository context is critical for accurate AI assistance
- ✓Customizable prompts and commands let teams encode standardized workflows (test generation, code review checklists, documentation) as reusable templates
- ✓Enterprise-grade governance with SSO, audit logs, repo permission-aware context, and guardrails for compliance-sensitive industries
Cons
- ✗Full enterprise context features require deploying and configuring Sourcegraph's code intelligence platform, which adds operational overhead
- ✗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 from the core Cody experience
- ✗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
Devin - Pros & Cons
Pros
- ✓Targets end-to-end engineering tasks, not just autocomplete
- ✓Published case study includes concrete 8x time efficiency and 20x cost-savings claims
- ✓Integrates with engineering workflows such as Slack, Linear, and MCP
- ✓Useful for repetitive migrations and well-scoped backlog work
Cons
- ✗Needs strong review culture; autonomous code still requires human accountability
- ✗Costs can rise for heavy usage or larger teams
- ✗Best results depend on tests, clear tickets, and accessible repo context
- ✗Enterprise deployment and security features require custom sales process
Not sure which to pick?
🎯 Take our quiz →🔒 Security & Compliance Comparison
Focus the table and use arrow keys to scroll when columns extend beyond the screen.
Price Alert Interest
Record the tools you want pricing updates for
Ready to Choose?
Read the full reviews to make an informed decision