Top AI Tools for GitHub Copilot in 2025

Find and compare the best AI Tools for GitHub Copilot in 2025

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Use the comparison tool below to compare the top AI Tools for GitHub Copilot on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

1

OpenAI

OpenAI

3 Ratings

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OpenAI aims to guarantee that artificial general intelligence (AGI)—defined as highly autonomous systems excelling beyond human capabilities in most economically significant tasks—serves the interests of all humanity. While we intend to develop safe and advantageous AGI directly, we consider our mission successful if our efforts support others in achieving this goal. You can utilize our API for a variety of language-related tasks, including semantic search, summarization, sentiment analysis, content creation, translation, and beyond, all with just a few examples or by clearly stating your task in English. A straightforward integration provides you with access to our continuously advancing AI technology, allowing you to explore the API’s capabilities through these illustrative completions and discover numerous potential applications.
2

Kite

Kite
Free

1 Rating

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Accelerate your coding experience and maintain your creative momentum with Kite, which integrates AI-driven code completions into your preferred code editor, effectively granting developers extraordinary capabilities. By downloading the Kite engine, you can enhance any code editor with advanced AI completions, compatible with over 16 programming languages and code editors. Enjoy rapid, context-sensitive suggestions that empower your coding process, allowing for longer multi-line completions in scenarios where you might usually struggle. As you code more efficiently, Kite's AI can reduce your keystrokes by as much as 47%, streamlining your workflow significantly. Access Python documentation effortlessly with a simple click or mouse hover, and discover useful examples and tutorials at your fingertips. Additionally, you can swiftly locate files in your codebase that are pertinent to the current file you are working on, ultimately boosting productivity for thousands of developers. With Kite, you not only code faster but also enhance your overall development experience.
3

IntelliSense

Microsoft

1 Rating

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IntelliSense encompasses a variety of code editing functionalities, such as code completion, parameter information, quick insights, and member lists. These features may also be referred to by different names including "code completion," "content assist," and "code hinting." In Visual Studio Code, IntelliSense is readily available for languages like JavaScript, TypeScript, JSON, HTML, CSS, SCSS, and Less. Although VS Code inherently supports word-based completions for any programming language, users can enhance their IntelliSense experience by adding specific language extensions. The IntelliSense capabilities in VS Code are driven by a language service, which delivers smart code completions based on the semantics of the language and a thorough examination of your source code. When a language service identifies potential completions, IntelliSense suggestions appear dynamically as you type. As you continue to input characters, the suggestions for members—such as variables and methods—are filtered to show only those that match your input. This makes coding more efficient and intuitive, allowing developers to focus on logic rather than syntax.
4

Warp

Warp.dev
Free

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Warp is an exceptionally rapid terminal built with Rust, entirely redesigned to function like a contemporary application. This terminal is fully native and does not utilize Electron or any web technologies. Users can opt into cloud features, and their data remains securely encrypted when stored. Warp is compatible with zsh, fish, and bash right from the start. Experience input that mirrors the capabilities of a modern code editor; using the terminal to write code should not evoke the feel of the late 1970s. With Warp, you can edit your commands using selections, precise cursor positioning, and completion menus, enhancing your workflow significantly. The terminal also incorporates a powerful AI search, driven by GPT-3, which translates natural language into executable shell commands, functioning similarly to GitHub Copilot but tailored for terminal use. You can navigate through commands seamlessly, copying outputs with a single click and avoiding unnecessary scrolling. Furthermore, Warp facilitates access to frequently used workflows through an intuitive GUI, and it allows users to create and share their own workflows with team members, fostering collaboration and efficiency.
5

Signals AI

Signals AI

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Signals AI is an innovative platform focused on engineering intelligence, which consistently observes development processes and tool utilization to provide immediate insights and identify potential risks. By merging conventional engineering metrics, such as deployment frequency and project activity, with AI-enhanced monitoring of tool usage, it can automatically uncover possible delays, bottlenecks, or escalating issues. The platform seamlessly integrates with tools like Jira, offering visibility into project execution, investments, deployments, and team performance metrics at a granular level. It sends out real-time notifications for critical events like build failures, deployment risks, and SLA violations directly within collaboration platforms, such as Microsoft Teams. Additionally, it generates weekly summaries of essential operational metrics, including cycle time and deployment frequency, along with identifying project hotspots. The dashboards provide valuable AI-driven insights, which encompass root-cause analysis and suggested remedies, empowering engineering leaders to take proactive measures and enhance overall productivity. This proactive approach ensures that teams can address issues efficiently before they impact project timelines.
6

Aurascape

Aurascape

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Aurascape is a cutting-edge security platform tailored for the AI era, empowering businesses to innovate securely amidst the rapid advancements of artificial intelligence. It offers an all-encompassing view of interactions between AI applications, effectively protecting against potential data breaches and threats driven by AI technologies. Among its standout features are the ability to oversee AI activity across a wide range of applications, safeguarding sensitive information to meet compliance standards, defending against zero-day vulnerabilities, enabling the secure implementation of AI copilots, establishing guardrails for coding assistants, and streamlining AI security workflows through automation. The core mission of Aurascape is to foster a confident adoption of AI tools within organizations while ensuring strong security protocols are in place. As AI applications evolve, their interactions become increasingly dynamic, real-time, and autonomous, necessitating robust protective measures. By preempting emerging threats, safeguarding data with exceptional accuracy, and enhancing team productivity, Aurascape also monitors unauthorized app usage, identifies risky authentication practices, and curtails unsafe data sharing. This comprehensive security approach not only mitigates risks but also empowers organizations to fully leverage the potential of AI technologies.
7

CodeSquire

CodeSquire

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Effortlessly convert your comments into functional code, as demonstrated in the example where we swiftly generate a Plotly bar chart. You can seamlessly construct complete functions without the need to search for specific library methods or parameters; for instance, we developed a function to upload a DataFrame to an AWS bucket in parquet format. Additionally, you can write SQL queries simply by instructing CodeSquire on the data you wish to extract, join, and organize, similar to the example where we identify the top 10 most prevalent names. CodeSquire is also capable of elucidating someone else's code; just request an explanation of the preceding function, and you'll receive a clear, straightforward description. Furthermore, it can assist in crafting intricate functions that incorporate multiple logical steps, allowing you to brainstorm ideas by starting with basic concepts and progressively integrating more advanced features as you refine your project. This collaborative approach makes coding not only easier but also more intuitive.