Best Code Search Engines for GitHub

Cody is a coding assistant AI that lives inside your editor. It can find, explain and write code. Cody combines Large Language Models (LLMs), Sourcegraph Search, and Sourcegraph Code Intelligence to provide answers and eliminate toil for human programmers. Cody is your programmer friend who has read all the open source code, all the StackOverflow questions, and all the private code of your organization. He will always be there to answer any questions or suggest solutions based on his prior knowledge. Enterprises love Cody because it provides choice for: Any scale - Cody works for developer teams of any size, from startups to the biggest companies in the world. Any code host - Every code host and repository, to give the most accurate context from the largest codebases. Any LLM - Sourcegraph’s interoperability allows Cody to work with what LLM and context sources are best for your organization.

Available in more than 20 programming languages, including Python, JavaScript and TypeScript, Ruby, TypeScript, Go, Ruby and many others. BLACKBOX AI code search was created so that developers could find the best code fragments to use when building amazing products. Integrations with IDEs include VS Code and Github Codespaces. Jupyter Notebook, Paperspace, and many more. C#, Java, C++, C# and SQL, PHP, Go and TypeScript are just a few of the languages that can be used to search code in Python, Java and C++. It is not necessary to leave your coding environment in order to search for a specific function. Blackbox allows you to select the code from any video and then simply copy it into your text editor. Blackbox supports all programming languages and preserves the correct indentation. The Pro plan allows you to copy text from over 200 languages and all programming languages.

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.

Natural language search uncovers internal libraries and patterns. This prevents stale code and dependency bloat, and allows you to spend more time solving unsolved issues. This makes it easier to find internal APIs, which increases adoption and reduces duplication. Natural language searches with bloop return accurate results in less time than slow keyword searches or asking colleagues for assistance. Bloop can understand your codebase. Complex concepts are summarized and the purpose behind code are explained when responding to natural language search queries. A codebase change can be used to follow up on a natural language search. This is a great option for small changes and can easily be initiated by any member of the team, regardless their coding ability. You can quickly navigate through refs and defs with precise code navigation in more than 10 languages.

Answers, documentation, and code samples for your developer queries in a flash. AI-powered agents interpret your complex questions and create tailored solutions. Interact seamlessly with your repositories to provide contextualized assistance and search. Unlock unlimited search with the most powerful GPT-4 model. Devv is a next-generation search engine for developers. Devv has a new mode that delivers more accurate and detailed answers. Multi-agent architecture employing different agents and languages models depending on the requirements of the task. You can now generate Python code directly within Devv. Devv is dedicated exclusively to developing scenarios. This allows us to focus on creating better search indexes and models. Our mission is to build the premier information retrieval system for developers.

Ask a question about your codebase. Documatic intelligently finds the answer. Documatic searches use AI to understand your question and identify the code or documentation that contains the answer. Ask questions via the Documatic platform, Vscode, and Slack. Visualize how your codebase's important infrastructure interacts. You will never again have to wonder if a function affects your AWS resources. Documatic creates a map of your codebase to allow you to quickly see the flow information from one file to another, and even folder to folder. We highlight critical infrastructure such as cloud, databases, and payment processors to ensure you are always aware of the impact of your code on security. You can create documentation for the changes made to your codebase every day, week, and month.