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Agentic SDLC: the AI software development lifecycle with agents

Agentic SDLC (AI-driven SDLC / agent orchestrated development lifecycle): how enterprise AI agents change discovery, architecture, build, quality, integration, and operations — with governance, HITL, and EmerAgents.

Retrato profissional de Emerson Amorim, fundador da EmerSoftware

By Emerson Amorim · Founder and Principal Software Engineer

#AgenticSDLC#AISDLC#AI-drivenSDLC#agentorchestrateddevelopmentlifecycle#agenticsoftwareengineering#AI-nativedevelopment#AIsoftwareengineering#enterpriseAIagents#EmerAgents#EmerSoftware

Agentic SDLC — also called AI SDLC, AI-driven SDLC, or agent orchestrated development lifecycle — is the software lifecycle redesigned for AI agents with roles, contracts, and governance. It is not autocomplete. It is not a chatbot on the backlog. It is the operating system of engineering when the unit of work is no longer only a human ticket.

Why the classic SDLC breaks with agents

Waterfall and even “pure” agile assume humans write, review, and release. AI agents compress time but amplify risk without a perimeter: writes without idempotency, rotten context, no trail. Agentic software engineering needs rails — not blind speed.

Six phases of an Agentic SDLC

  1. Agentic discovery — intent → SpecBundle (goals, constraints, exit metric).
  2. Architecture and contracts — boundaries, APIs, data ownership, tool allowlists.
  3. Build with coding agents — implementation with factory reuse and auditable PRs.
  4. Quality and evals — trajectory tests, not only unit tests.
  5. Integration and release — HITL gates on enterprise writes.
  6. Operations and feedback — incidents, cost, and ROI feed the next cycle.

How EmerSoftware runs it

In the Agentic Enterprise Software Factory, EmerAgents is the orchestration layer of the Agentic SDLC: seven roles across strategy, domain, architecture, build, quality, integration, and operations. The AI Agents hub and enterprise AI agents page translate that into a commercial offer; engagement starts with a value diagnosis.

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LinkedIn · Emerson Amorim

Agentic SDLC: change the lifecycle, not just the tool

Most teams still measure “AI in the SDLC” by lines generated. Agentic SDLC means: 1. Intent enters as a versioned spec 2. Agents have roles and tool allowlists 3. HITL on high-risk writes 4. Operations feed the next cycle That is an agent orchestrated development lifecycle — how EmerSoftware runs the factory with EmerAgents. Read: https://www.emersoftware.com.br/en/blog/agentic-sdlc-ai-software-development-lifecycle Book: https://www.emersoftware.com.br/en/book

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