How developers' role changes with AI

As artificial intelligence (AI) becomes increasingly integrated into the software development life cycle (SDLC), the role of developers is shifting from traditional coding to orchestrating AI agents. Developers now spend only about 10% of their time coding, with the remainder consumed by non-coding tasks such as meetings and troubleshooting, as reported by Gartner and Atlassian. In the future, AI will be more involved in tasks like root-cause analysis and incident resolution, reducing mean time to resolution (MTTR) significantly. Developers will focus more on overseeing AI agents, ensuring code quality, and managing architecture rather than writing code themselves. This transformation requires developers to adapt their skills to include planning, documentation, and quality control, preventing them from becoming bottlenecks in a faster-paced SDLC. Tools like Port are designed to streamline this shift by providing a centralized platform for managing AI agents and reducing cognitive load during non-coding tasks, highlighting the move from coding to higher-level engineering and orchestration in the AI-native future.

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