Agentic SDLC: A No-BS Guide to Running the Full Software Lifecycle with AI Agents
Pavan_Belagatti · x · 2026-09-27
The author argues that the Agentic Software Development Lifecycle (AI-SDLC) is the next major shift beyond AI-assisted coding: specialized AI agents participate end-to-end across planning, implementation, testing, review, deployment, monitoring, documentation, and continuous improvement.
The core division of labor: humans set goals, priorities, guardrails, and approval points, while agents handle operational work, hand context to each other, and move features through the pipeline with far less manual coordination. The point is not removing developers from engineering, but freeing them for decisions that actually require judgment. The article then traces how the industry reached the agentic SDLC era.
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