GitHub has expanded its ecosystem of AI tools by adding Claude and Codex agents to speed up development. New models are available in Copilot Pro Plus and Enterprise and let you run tasks, analyze code, and compare results directly in GitHub and VS Code.
The launch of new agents became part of the Agent HQ initiative aimed at to make AI assistants a full-fledged element of the daily work of programmers, writes xrust. GitHub aims to create an environment where developers have the flexibility to choose the right agent for a given task — from code generation to change analysis to preparing pull requests.
How the new GitHub agents work
GitHub emphasizes that each agent processes requests independently, and developers can assign them different tasks within the same project. This allows you to:
- distribute the load between several AI models,
- compare the results of agents' work,
- select the most accurate and relevant answers,
- speed up the development process without switching between tools. According to GitHub Product Director Mario Rodriguez, the new system helps avoid «context switching» — one of the main problems when working with multiple tools. Now a developer can use different models in the same environment without losing the request history or changing the working environment.
Claude and Codex — what they give to developers
Claude (Anthropic)
Claude is known for his ability to work with large amounts of text, analyze complex queries and provide detailed explanations. It is suitable for:
- code analysis,
- working with documentation,
- generation of technical descriptions,
- preparation of architectural solutions.
Codex (OpenAI)
Codex is focused on programming and code generation. It helps:
- write functions and modules,
- fix errors,
- optimize code fragments,
- create tests,
- work with APIs and frameworks.
Both agents are integrated into the GitHub and Visual Studio Code interface, which allows you to use them in a familiar development environment.
Integration within Agent HQ
The Agent HQ initiative is GitHub's strategic move to create an ecosystem where AI agents are not just an add-on, but part of the workflow. Developers can:
- assign tasks to agents,
- assign them work on a pull request,
- view the results in a single interface,
- compare responses from different models.
GitHub aims to ensure that AI agents become the “second-hand” of the developer, performing routine operations and helping to focus on the architecture and logic of the product.
Expanding the ecosystem of AI models
GitHub is actively expanding the list of supported models. Previously, tools from:
- Anthropic,
- Google,
- xAI,
- OpenAI.
The addition of Claude and Codex was a logical continuation of the strategy to create a multi-agent environment. In the future, GitHub plans to open up access to new models for other types of subscriptions, as well as expand integrations into GitHub, Visual Studio Code, and Copilot CLI.
In addition, GitHub is collaborating with Google, Cognition, and xAI to add even more AI agents that can perform specialized tasks, from analyzing large projects to automating DevOps processes.
Microsoft tests Claude Code
class=»notranslate»>__GTAG7__ Microsoft is also internally testing the Claude Code tool, comparing its performance with GitHub Copilot. The goal is to understand which approaches work best and use this data to improve your own solutions.
According to company representatives, testing several models simultaneously helps to identify the strengths and weaknesses of each agent and create more effective tools for developers.
What does this mean for developers
The emergence of new agents opens up more opportunities for developers:
- choice between several AI models,
- increasing the accuracy and quality of code generation,
- speeding up work on projects,
- reducing the number of routine tasks,
- improving interaction with the version control system.
GitHub is betting that the multi-agent approach will become the industry standard, and that developers will be able to use AI as a full team member.
Xrust GitHub introduced new AI agents Claude and Codex: how the work of developers will change
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