The article also highlights the impact of AI on DevOps. AI is increasing the size of codebases and generating code that may contain vulnerabilities. However, the author suggests that the quality of machine-generated code should improve over time. AI is also expected to automate many manual tasks in DevOps, freeing up time for more complex challenges. The author concludes by encouraging software engineering teams to embrace AI, as it will enable the building and deployment of applications at unprecedented levels of scale, resiliency, and flexibility.
Key takeaways:
- AI is being used to enable developers to write higher-quality code, with the ultimate goal of reducing the effort required to build and deploy modern applications.
- AI in the form of copilots provides developers with significant benefits, such as writing code faster, better understanding how existing code is structured, and discovering and remediating vulnerabilities before applications are deployed.
- AI is already being used to write code at a rapid pace, creating challenges for DevOps teams, including the need to review code regardless of whether it was created by a machine or a human.
- DevOps teams should be determining today what manual tasks will soon be automated by AI, to gain the time needed to solve more complex challenges tomorrow.