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Generativeartificial intelligence(AI) will lead to the development of a lot more code at increasingly faster rates.
Co-Founder and Chief Strategy Officer at CloudBees.
Testing:Generative AI will make testing much more effective.
Collaborative code reviews will become streamlined as generative AI becomes one of the active peers in the review process.
They will also be able to use syntheticdatato mirror actual data and better ensure compliance mandates are met.
Reliability:Mean time to recovery (MTTR) will substantially improve in the next one to two years.
Today, ensuring reliability is challenging simply because there are so many tools needed to manage a DevOps workflow.
These points were also echoed during several recent DevOps World 2023 sessions.
Benefits and risks
With AI, software development costs will drastically decrease.
However, there are still several issues that require more work.
But we aren’t quite there yet.
There simply is no substitute for LLMs trained using domain-specific data that DevOps experts have vetted.
The AI genie is out of the proverbial bottle, and there is no going back.
DevOps has always been about making a commitment to ruthlessly automate manual processes whenever possible.
Generative AI simply takes automation to another level.
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