Compare Code Search vs. Cody

Sourcegraph shows you the repositories that you use, stored in any code host or search across the open-source universe. With smart filters and Code Intelligence, you can quickly find answers with regular, structural, or literal expression searches. Extensions allow you to connect all your tools, including test coverage, 1-click file in editor, custom highlight, and information from other services. To help engineers learn unfamiliar code faster, create living documentation using Markdown and live query code. Use collaborative, shareable notebooks to navigate through your codebase and resolve issues. You can embed HTML in notebooks wherever you can, just like your internal documentation. This will allow you to spend less time updating outdated docs. To learn more about the code and repository structure, search across all code hosts.

Cody is an advanced AI coding assistant developed by Sourcegraph to enhance the efficiency and quality of software development. It integrates seamlessly with popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains IDEs, providing features like AI-driven chat, code autocompletion, and inline editing without altering existing workflows. Designed to support enterprises, Cody emphasizes consistency and quality across entire codebases by utilizing comprehensive context and shared prompts. It also extends its contextual understanding beyond code by integrating with tools like Notion, Linear, and Prometheus, thereby gathering a holistic view of the development environment. By leveraging the latest Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody offers tailored assistance that can be optimized for specific use cases, balancing speed and performance. Developers have reported significant productivity gains, with some noting time savings of approximately 5-6 hours per week and a doubling of coding speed when using Cody.