Published: 08 January 2024
AI is poised to shape the next frontier of DevOps. Software engineering leaders driving platform engineering initiatives should augment DevOps with predictive and generative AI to improve developer experience, enhance software delivery workflows and optimize the software delivery infrastructure.
Organizations are already using AI coding assistants, AI-augmented testing tools and AIOps platforms to optimize specific activities within DevOps. However, reducing overall lead time requires identifying and overcoming constraints across all phases in software delivery.
Generative AI presents new opportunities to reduce developer friction and improve developer experience in multiple phases of the software development life cycle (SDLC). Examples of friction include inadequate understanding of codebase and time spent in debugging, code reviews and root cause analysis.
Improving the efficiency of software delivery workflows requires optimizing and harmonizing all stages of the SDLC. Examples of inefficiencies include long build
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