AI Summary: This article for IT leaders explains how agentic AI is compressing the weeks of coordination traditionally found in the SDLC into continuous, autonomous workflows. ' By using agents for first-pass implementation, testing, and risk review, companies are seeing massive boosts in EBITDA margins.
The defining challenge of 2026 is no longer whether AI can participate in engineering, but how deliberately organizations design for it. This post argues that agentic AI is structurally different because it focuses on 'sustained execution' rather than just better prompting. We look at how the entire software development lifecycle (SDLC) is moving from human-executed to autonomously executed, resulting in 20-40% reductions in operating costs.
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