GitHub just launched a new 'mission control center' for developers to delegate tasks to AI coding agents
The new pop-up tool from GitHub means developers need not "break their flow" to hand tasks to AI agents
GitHub is making it easier for software developers to make use of AI agents – and manage them like co-workers toiling in the background.
The company’s new "agents panel" allows developers to delegate tasks to the AI-powered Copilot from any page on github.com via a prompt, rather than navigating over to GitHub Issues – a process it says is "breaking your flow."
Earlier this year, GitHub unveiled a new coding agent designed to tackle "low-to-medium complexity” tasks. The aim with the new "mission control" tool is to help developers better manage AI.
A pop-up panel will allow developers to work with such AI agents more easily by delegating coding tasks and tracking progress wherever a developer is working in GitHub, with the Copilot agent working in the background before tagging the user for review when complete.
"If the past year has underscored anything, it’s that AI agents are becoming a bigger part of developers’ day-to-day workflows," staff product manager Tim Rogers wrote in a blog post.
"Copilot coding agent works like a member of your team, and it’s received a great response from developers so far," Rogers added. "But we know that not all of your work lives in GitHub Issues."
Previous to this Agents panel tool, developers using Copilot could allocate work for agents either by assigning an issue, using the pull requests extension for Visual Studio Code, or by triggering tasks from compatible apps that integrate with GitHub via the Model Context Protocol (MCP).
Sign up today and you will receive a free copy of our Future Focus 2025 report - the leading guidance on AI, cybersecurity and other IT challenges as per 700+ senior executives
How GitHub’s new ‘mission control’ tool works
The new Agents panel is essentially a popup overlay that lets a developer trigger work by the Copilot agent, track existing tasks and review pull requests, all without leaving their current work setting, wherever that may be on the GitHub website.
To access the panel, click the "agents" button in the right of the navigation bar.
"You can start a new Copilot task from the new Agents panel with a simple prompt," Rogers noted.
"Just open the panel from any page on GitHub, describe your goal in natural language, and select the relevant repository. Copilot will then take it from there and start creating a plan, drafting changes, running tests, and then preparing a pull request."
The new feature is available on GitHub today in a public preview for all paid Copilot subscribers, the post added.
Make sure to follow ITPro on Google News to keep tabs on all our latest news, analysis, and reviews.
MORE FROM ITPRO
- What Thomas Dohmke’s departure means for GitHub
- GitHub just launched a new free tier for its Copilot coding assistant
- Everything you need to know about GitHub Models
Freelance journalist Nicole Kobie first started writing for ITPro in 2007, with bylines in New Scientist, Wired, PC Pro and many more.
Nicole the author of a book about the history of technology, The Long History of the Future.
-
26% of privacy professionals are bracing for a breach this yearNews Overworked, underfunded privacy teams are being left hung out to dry by executives
-
What role does automation play when it comes to IT service management?Supported Content ITSM will be a familiar element of many IT departments, but a changing tech landscape requires a new strategy
-
So much for ‘trust but verify’: Nearly half of software developers don’t check AI-generated code – and 38% say it's because it takes longer than reviewing code produced by colleaguesNews A concerning number of developers are failing to check AI-generated code, exposing enterprises to huge security threats
-
Microsoft is shaking up GitHub in preparation for a battle with AI coding rivalsNews The tech giant is bracing itself for a looming battle in the AI coding space
-
AI could truly transform software development in 2026 – but developer teams still face big challenges with adoption, security, and productivityAnalysis AI adoption is expected to continue transforming software development processes, but there are big challenges ahead
-
OpenAI's 'Skills in Codex' service aims to supercharge agent efficiency for developersNews The Skills in Codex service will provide users with a package of handy instructions and scripts to tweak and fine-tune agents for specific tasks.
-
AI is creating more software flaws – and they're getting worseNews A CodeRabbit study compared pull requests with AI and without, finding AI is fast but highly error prone
-
AI doesn’t mean your developers are obsolete — if anything you’re probably going to need bigger teamsAnalysis Software developers may be forgiven for worrying about their jobs in 2025, but the end result of AI adoption will probably be larger teams, not an onslaught of job cuts.
-
Anthropic says MCP will stay 'open, neutral, and community-driven' after donating project to Linux FoundationNews The AAIF aims to standardize agentic AI development and create an open ecosystem for developers
-
Atlassian just launched a new ChatGPT connector feature for Jira and Confluence — here's what users can expectNews The company says the new features will make it easier to summarize updates, surface insights, and act on information in Jira and Confluence
