Opsera aims to adapt DevOps to AI development
Briefly

Opsera aims to adapt DevOps to AI development
"According to SD Times, Opsera has announced a series of new agents within its so-called Agentic DevOps approach. With this expansion, the company aims to address a growing problem caused by the increasing use of AI in writing code. Although AI-assisted programming helps developers create pull requests and pass tests more quickly, research shows that it actually causes delays elsewhere in the development process."
"A recent report by Opsera shows that AI-assisted workflows reduce the time to submit a pull request by almost half on average. At the same time, these AI-generated pull requests wait significantly longer for review than code written entirely by developers. According to the company's measurements, the review of AI-generated contributions takes more than four times as long. Opsera also found that AI-generated code is more prone to quality issues."
"For example, there is more code duplication and a higher risk of security vulnerabilities compared to manually written code. This means that the initial speed gains at the beginning of the development cycle are later lost during reviews, repairs, and security checks. Contextual insight With the introduction of Agentic DevOps, Opsera aims to address this problem by deploying autonomous agents that actively monitor and control DevOps processes."
AI-assisted programming reduces time to create pull requests and pass tests but increases delays later in the development cycle due to longer review times. AI-generated pull requests can wait significantly longer for review and may take more than four times as long to be reviewed. AI-generated code shows higher code duplication and elevated security vulnerability risk, causing initial speed gains to be lost during reviews, repairs, and security checks. Agentic DevOps deploys autonomous agents with deep contextual insight across the software delivery chain to monitor pipelines, make connections, intervene proactively, simulate changes, assess impact, and automate problem solving to improve pace and investment visibility.
Read at Techzine Global
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