Best AI Copilots for GitLab

Qodo, formerly Codium, analyzes your code to find bugs before you release. Qodo maps the behaviors of your code, identifies edge cases and tags anything suspicious. It then generates meaningful and clear unit tests that match the behavior of your code. You can see how your code behaves and how changes to your code affect the rest of the code. Code coverage is broken. Meaningful tests check functionality and give you the confidence to commit. Spend less time writing questionable tests and more time developing features that are useful to your users. Qodo analyzes your code, docstring and comments to suggest tests as you type. You only need to add them to your suite. Qodo focuses on code integrity. It generates tests that help you understand your code, find edge cases and suspicious behavior; and make your code more robust.

Tabnine is the AI coding assistant that you control — helping development teams of every size use AI to accelerate and simplify the software development process without sacrificing privacy, security, or compliance. Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to your team. Tabnine is trusted by more than 1,000,000 developers across thousands of organizations. Tabnine offers best-in-class AI code completion and an AI-powered chat and supports numerous use cases such as code generation, explanation of code, creating unit tests, generating documentation, debugging code, refactoring and maintaining code. Tabnine is integrated with all the major IDEs such as VS Code, JetBrains, Visual Studio, Eclipse. It supports over 80 programming languages and frameworks including JavaScript, TypeScript, Python, Java, C, C++, C#, Go, Php, Ruby, Kotlin, Dart, Rust, React/Vue, HTML 5, CSS, Lua, Perl, YAML, Cuda, SQL, Scala, Shell (bash), Swift, R, Julia, VB, Groovy, Matlab, Terraform, ABAP and more.

Enhance the speed and efficiency of software development and delivery by leveraging generative AI support, all while ensuring robust enterprise security and privacy safeguards. Gemini Code Assist streamlines your coding process by completing your code as you type and can generate entire code blocks or functions upon request. This powerful code assistance tool is compatible with a variety of popular integrated development environments (IDEs) like Visual Studio Code and JetBrains IDEs (including IntelliJ, PyCharm, GoLand, and WebStorm), as well as Cloud Workstations and Cloud Shell Editor, supporting over 20 programming languages such as Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Utilizing a natural language chat interface, you can easily interact with Gemini Code Assist to obtain solutions to your coding queries or gain insights into coding best practices, with chat functionality accessible across all supported IDEs. Organizations have the flexibility to tailor Gemini Code Assist by integrating their private codebases and knowledge repositories, enabling the tool to provide more personalized assistance that aligns with specific enterprise needs. Furthermore, Gemini Code Assist has the capability to facilitate extensive modifications across entire codebases, thereby optimizing the development workflow significantly. This adaptability not only boosts productivity but also empowers teams to innovate more rapidly in a secure environment.

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.

Curiosity is a context graph for industrial AI: a platform that connects an organisation's files, messages, wikis, ticketing systems and databases into one graph you can search, explore and query with AI. Rather than indexing documents in isolation, Curiosity preserves the relationships between records, so parts, suppliers, tickets and reports stay linked. Queries return results with that context, and every AI answer traces back to its sources. It holds data in memory for fast retrieval across structured and unstructured sources, ships with connectors for network drives, databases, cloud storage and common enterprise systems, and exposes APIs to build custom applications on the graph. You choose the AI models. Everything runs on your own infrastructure, under your existing permissions, so data stays in your control. Built for industrial and engineering teams that need reliable, traceable answers over large, connected datasets.

BotGauge is an innovative AI Copilot tailored for software testing that aims to transform the testing field with its pioneering features. Leading the charge in our technological advancements is our autonomous test case generation coupled with real-time debugging, positioning BotGauge as a frontrunner in this industry. The platform offers a substantial reduction in testing expenses by 85%, while also speeding up the testing cycle to be 20 times more efficient than conventional approaches. A standout capability of BotGauge is its user-friendly interface that allows individuals to formulate test cases seamlessly using simple English. This functionality is driven by our sophisticated in-house Natural Language Processing (NLP) technology, which converts user commands into detailed and actionable test cases. This innovative approach broadens the accessibility of test creation, empowering those without extensive technical knowledge to engage in automated testing. In addition, BotGauge offers an integrated testing solution that accommodates various testing facets, enhancing efficiency and collaboration across teams. Overall, BotGauge represents a significant leap forward in the realm of software testing, making it more inclusive and efficient for all users.