Kilo Code vs Sourcegraph Cody: Coding Agents Comparison
Compare Kilo Code and Sourcegraph Cody side by side. Both are tools in the Coding Agents category.
Quick Comparison
| Category | Coding Agents | Coding Agents |
| Pricing | Free (open-source) | — |
| Best For | Developers who want a flexible, open-source coding assistant that works with any LLM and any IDE | — |
| Website | kilo.ai | sourcegraph.com |
| Key Features |
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| Use Cases |
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When to Choose Kilo Code vs Sourcegraph Cody
- AI-assisted code generation across IDEs
- Multi-model coding with provider flexibility
- Architectural planning and code review
How to Choose a Coding Agents Tool
Key criteria to evaluate when comparing Coding Agents solutions:
About Kilo Code
Kilo Code is an open-source agentic coding assistant that works across VS Code, JetBrains, Cursor, Windsurf, and CLI. It supports any LLM provider including OpenAI, Anthropic, Google, Mistral, and local models via Ollama, and offers specialized modes like Architect, Coder, and Debugger for multi-step task planning and execution. Co-founded by GitLab co-founder Sid Sijbrandij with 750,000+ downloads and $8M in seed funding.
About Sourcegraph Cody
Cody is Sourcegraph's AI coding assistant that understands your entire codebase. It uses Sourcegraph's code graph to provide context-aware code completions, explanations, and refactoring across massive codebases. Cody supports multiple LLM backends and works in VS Code, JetBrains, and the web.
What is Coding Agents?
AI-powered developer tools that can write, review, debug, and refactor code—ranging from IDE copilots to fully autonomous software engineering agents.
Browse all Coding Agents tools →