
Free Lesson
Redesign the SDLC for Agents
45 min
Nov 19, 2026 2:00 PM
By continuing, you agree to Maven's Terms and Privacy Policy.
What you'll learn
Find the Bottlenecks After AI Speeds Up Coding
Map where AI-generated code shifts work into context, review, testing, security, and release.
Set Quality Gates for Agentic Work
Identify what agents can own and where human review, evaluations, and risk controls belong.
Define the Agent-Ready Delivery Workflow
Redesign one path from product intent to production, with clear ownership, review gates, and feedback loops.
Why this topic matters
Agents and Engineers coding with AI accelerate output while overwhelming review, QA, and release. Product and Engineering leaders need a delivery system built for higher throughput and less predictable outputs beyond Agile.
We'll walk through a sample feature from intent through agent context, code review, mission-based QA, and production monitoring. You'll leave with an agent-ready SDLC sketch and the bottlenecks to investigate in your team.







