SDLC Corp

Anthropic

Anthropic's stage-by-stage playbook for the AI-native SDLC: how teams plan, design, build, test, deploy, and maintain software with Claude.

AI agents are entering a software delivery system built around human speed, judgment, and accountability. The next SDLC needs machine-readable context, enforceable limits, reproducible environments, and new measures of safe work.

AI generates code an order of magnitude faster than any human can. Hand-writing code is no longer a tenable proposition, and so the effort has shifted to doing whatever we can to hold AI code to our own quality bar. Some hand wave it away, comparing it to

Software Engineer

Google

What I learned building an AI agent team that runs the full software development lifecycle in LangGraph, and why upstream documentation matters more than ever.

New Jira and Teamwork Graph capabilities help teams plan, delegate, and govern agentic work across the software development lifecycle.