Microsoft revamps Copilot with code generation, agentic AI tools

Microsoft on Friday unveiled several new capabilities in its Copilot ​app, including a coding tool and an always-on AI agent.

Microsoft on Friday unveiled several new capabilities in its Copilot ​app, including a coding tool and an always-on AI agent.(Dado Ruvic, Reuters)


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REDMOND, Wash. — Microsoft on Friday unveiled several new capabilities in its Copilot ​app, including a coding tool and an always-on AI agent, as the software giant seeks to transform its AI assistant into ‌a one-stop shop for office workers.

The company is also embedding its Office applications Word, Excel, and ⁠PowerPoint directly within Copilot, allowing ​users to work collaboratively on these ⁠apps without having to leave the AI tool.

Microsoft is racing to expand ‌Copilot beyond its ‌chat-based roots to boost adoption as it competes with AI chatbots ⁠such as ChatGPT and Claude.

The Windows maker ⁠unveiled "Code" to let users build apps, dashboards and other software using natural language prompts. The tool, powered by the same technology as Microsoft's GitHub Copilot, will roll out to early-access customers at the end of the month, while 365 Premium and Pro subscribers can preview ‌it later this year.

Microsoft is also rolling out "Autopilot," ​a revamp of the "Scout" AI agent it unveiled in June, in a private preview at the end of the month. The so-called digital coworker agent will carry its own identity in the company directory and have specific permissions that users can control.

"I think it's been very hard for many organizations to bring agents into the enterprise because ​of security, compliance and governance concerns," Annie Pearl, corporate vice president of Copilot ‌Product, said in ‌an interview.

"So ⁠we've worked to make sure that we were building this in a way that would really be able to be used in the enterprise."

Microsoft also unveiled cost-management capabilities to allow employees to have direct insight into costs ‌tied to their AI ​usage. The move comes at a time ‌when enterprises are increasingly ⁠worried about rapid ​AI usage racking up unexpected costs.

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