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AI-augmented DevOps: Trends shaping the future

Results from the 2024 Techstrong Research and Tricentis survey

The era of AI has arrived. Together with Techstrong Research, we surveyed over 500 DevOps professionals to understand how the anticipated benefits of AI in DevOps have been realized today, where teams are most commonly using AI, ML and generative AI, and to gather perspectives on how this game-changing technology will transform how our industry approaches building, testing, and delivering software.

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Mature DevOps practices + AI = success

AI is now part of the formula for effective DevOps shops. Our research found that teams across all maturity levels are seeing the benefits of AI, but that mature DevOps teams who have adopted AI are significantly more likely to rate their teams as very or extremely effective. Respondents said AI helps them overcome some big obstacles, namely developer team efficiency (60%), reducing the skills gap (54%), cost reduction (47%), and software quality (42%).

Testing and development have seen the most significant productivity gains

60% of respondents say their developer productivity has increased due to AI. And 42% of respondents say AI has made them more productive in testing and QA. This is a marked increase from the anticipated impacts of AI on productivity from our survey in 2022, in which 43% of respondents expected to see gains in developer productivity, and 32% in QA and testing.

Facing the future: DevOps practitioners rank testing as the most valuable area for AI investment

When asked to evaluate the most impactful areas for AI investments across the SDLC – from planning to releasing – DevOps practitioners ranked testing as the most valuable (60%). This result was foreshadowed in the Tricentis’ 2022 study, which found that testing is where organizations expected the greatest value, with nearly 70% of respondents rating the potential of AI-augmented testing as extremely or very valuable.

Is AI the next DevOps?

Since our report in 2022, it feels like AI has taken over the world. Every industry across the globe has been impacted by the advent of new AI models. Now more than ever, it’s time for DevOps shops to consider how AI will be most useful to them, and where it can be best applied to unlock new levels of productivity and innovation. According to our research, the industry’s mentality tends towards a “trust but verify” approach today, with 51% of teams reporting that while AI is useful, substantial human verification is still required.

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