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CybersecurityAI-assisted

Survey Surfaces AI Contest for the Hearts and Minds of DevOps Engineers

A report by the Futurum Group indicates that organizations are exploring various strategies to integrate artificial intelligence (AI) into the software development lifecycle (SDLC).

ABy Angela WatersMay 20, 20251 min read

A report by the Futurum Group indicates that organizations are exploring various strategies to integrate artificial intelligence (AI) into the software development lifecycle (SDLC).

In the upcoming 12 to 18 months, organizations plan to significantly increase their spending on AI code generation (83%) and agentic AI technologies (76%), as well as on traditional tools enhanced with AI. This data comes from a survey of 855 IT leaders conducted by the Futurum Group.

DevOps teams are considering the potential switch to new platforms versus enhancing their current tools with AI features. The success of these efforts will depend on reducing barriers to entry, adopting effective go-to-market strategies, and demonstrating tangible value as software development processes evolve.

This data comes from a survey of 855 IT leaders conducted by the Futurum Group.
Angela Waters · Thehackingpost

AI Adoption in Application Development

Application development teams are at the forefront of AI adoption. Previous research by the Futurum Group revealed that 41% of respondents expect generative AI tools to be used for code generation, review, and testing.

Quality and Reliability of AI-Generated Code

The reliability of AI-generated code varies, especially in scenarios where business logic is involved. It is crucial to ensure that the code does not contain vulnerabilities. The return on investment in AI tools can vary significantly among DevOps teams depending on the generated code's quality.

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AI's Role in Software Development Efficiency

AI advancements are expected to automate many manual tasks in software development, potentially reducing burnout rates among software engineers. However, it remains important for DevOps teams to maintain a thorough understanding of the code deployed in production environments.

Based on reporting by devops.com.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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