AI-powered agents operating as a member of your dev and ops teams, automating, optimizing, and accelerating every stage of the software lifecycle.

Autonomous and semi-autonomous agents work together to solve routine and complex tasks, bringing apps to market faster, increasing code quality and security, removing repetitive development tasks, reducing technical debt and reframing the economics of operating, maintaining and modernizing apps in production.

Through Agentic DevOps, developers orchestrate a series of agentic services, with the freedom to focus on higher value creative work, while operators can proactively identity, mitigate and resolve issues in production.

Agentic DevOps is about way more than just building applications with AI coding assistance. Instead, agentic DevOps infuses AI across the entire software lifecycle, outfitting developers with AI-native experiences that empower them to do more and scale their skills farther than ever before.

The introduction of AI into the software development lifecycle is ushering into a new era of DevOps—one driven by agentic capabilities infused across every stage of software development.

Applications are getting harder to build, yet customers expect developers to deliver new features and services faster than ever.

This is especially true for generative AI—not only do developers need to contend with traditional developer workloads to build such apps, they also need to learn how to evaluate and test the various intricacies of an emerging portfolio of models, all while managing massive volumes of data.

This requires an entirely new set of skills that are continuing to evolve and morph as AI technology continues to advance rapidly.

At the same time, developers are being asked to manage backlogs of low-value, time-consuming work—all while putting up with growing technical debt and increasingly complex, hard to manage app infrastructure.

And underpinning all of this, the shift towards AI applications is expanding the threat landscape even further and introducing new security risks that must be addressed.

AI-powered agents operating as a member of your dev team, automating, optimizing, and accelerating every stage of the software lifecycle.

Throughout development, new tools in GitHub Copilot like Coding agent, Agent mode, and App modernization agents give developers the power of pair- and peer-programmers directly in their IDE, empowering them to hand off routine and complex tasks to Copilot—everything from coding, reviewing, and testing, to writing documentation and modernizing their apps—and focus on more high-value, creative work.