Best Code Search Engines for GitLab

Compare the Top Code Search Engines that integrate with GitLab as of July 2025

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This a list of Code Search engines that integrate with GitLab. Use the filters on the left to add additional filters for products that have integrations with GitLab. View the products that work with GitLab in the table below.

What are Code Search Engines for GitLab?

Code search engines are specialized search tools that allow developers to search through codebases, repositories, or libraries to find specific functions, variables, classes, or code snippets. These tools are designed to help developers quickly locate relevant parts of code, analyze code quality, and identify reusable components. Code search engines often support various programming languages, providing search capabilities like syntax highlighting, filtering by file types or attributes, and even advanced search options using regular expressions. They are particularly useful for navigating large codebases, enhancing code reuse, and improving overall productivity in software development projects. Compare and read user reviews of the best Code Search engines for GitLab currently available using the table below. This list is updated regularly.

1

Cody

Sourcegraph

Cody, Sourcegraph’s AI code assistant goes beyond individual dev productivity, helping enterprises achieve consistency and quality at scale with AI. Unlike traditional coding assistants, Cody understands the entire codebase, enabling deeper contextual awareness for smarter autocompletions, refactoring, and AI-driven code suggestions. It integrates with IDEs like VS Code, Visual Studio, Eclipse, and JetBrains, providing inline editing and chat without disrupting workflows. Cody also connects with tools like Notion, Linear, and Prometheus to enhance development context. Powered by advanced LLMs like Claude Sonnet 4 and GPT-4o, it optimizes speed and performance based on enterprise needs, and is always adding the latest AI models. Developers report significant efficiency gains, with some saving up to six hours per week and doubling their coding speed.

87 Ratings

Starting Price: $59

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2

Code Search

Sourcegraph

With rapidly growing codebases, a proliferating number of repositories, multiple languages and file formats, and an increasing number of developer tools, Sourcegraph's Code Search enables developers to quickly explore and understand their code with precision and accuracy and automate large-scale code changes.

Starting Price: $49/user/month

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3

Documatic

Documatic

Ask a question of your codebase. Documatic intelligently gets you the answer. Documatic search uses AI to understand your question, and identifies the bit of documentation or code containing the answer. You can ask questions from the Documatic platform, vscode and slack. Easily visualize how the important infrastructure in your codebase interacts. Never again will you question whether a function impacts your AWS resources! Documatic builds a map of your codebase so you can quickly see the flow of information from file to file, folder to folder. We highlight important infrastructure like cloud, databases and payment processors so you always know the impacts of your code on security and costs. Generate documentation in the changes in your codebase each day, week, or month.

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4

Kooder

Kooder

Kooder is an open source code search project, offering code, repositories and issues search service for code hosting platforms including Gitee, GitLab and Gitea. There are two modules, gateway and indexer. Gateway is integrated inside gateway under default config.

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5

Augoor

Augoor

Augoor transforms static code into dynamic knowledge, enabling teams to navigate, document, and optimize complex systems effortlessly. By extracting structures, relationships, and context, Augoor builds a living knowledge graph that accelerates the development lifecycle. Its AI-driven code navigation tool accelerates new developer productivity, integrating them into projects from day one. Augoor reduces maintenance efforts and enhances code integrity by pinpointing problematic code segments, saving costs, and reinforcing your codebase. It automatically generates clear, updated code explanations, preserving knowledge, especially for complex legacy systems. The AI navigation system cuts down time spent searching through code, allowing developers to focus more on coding, speeding up feature development, and fostering innovation in large codebases. Augoor's advanced AI-driven visualizations uncover hidden patterns, map complex dependencies, and reveal critical relationships.

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