AI-Driven SDLC: Agents Take Over Full Workflow, Humans Handle Guardrails
Pavan_Belagatti · x · 2026-08-06
The author suggests software engineering is evolving toward an AI-native Agentic Development Life Cycle. The ultimate goal is that developers only need to provide intent and prompts, while AI agents handle the entire workflow including coding, code review, testing, CI/CD, and monitoring.
Meanwhile, human developers will transition into supervisors, focusing on setting policies, guardrails, best practices, and final approvals, ensuring efficiency without giving agents full authority over the system.
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