Tag: software development lifecycle

• 10 SDLC Assumptions Agentic AI Breaks, Mapped

  

  Agentic AI architecture is not the software development lifecycle with a model bolted onto it. It is a different lifecycle, because the thing being shipped no longer behaves the same way twice. The traditional SDLC assumes you write a specification, test outputs against expected values, and promote a build that behaves in production the way…

  Dr. Harish Kotadia, Ph.D.

  September 1, 2026

  Agentic AI Governance

  agent evaluation, Agent Identity, agentic AI architecture, agentic SDLC, AI-native SDLC, Cost per Completed Task, enterprise AI governance, non-determinism, prompt injection, software development lifecycle

• What Is an AI-Native SDLC? Intent Becomes the Unit of Work

  

  An AI-native SDLC is a software development lifecycle in which the unit of work is committed intent rather than an assigned instruction, and each stage ends by writing a version-controlled artifact that the next stage reads. Anthropic published the clearest description of one on August 21, 2026 in The AI-Native SDLC playbook, and has since…

  Dr. Harish Kotadia, Ph.D.

  August 30, 2026

  Agentic AI Governance

  Agent Identity, agentic ai, AI-native SDLC, Anthropic, governance, harness, software development lifecycle