Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
When Machines Prefer Waterfall: The Agentic Delivery Lifecycle and the Future of AI-Assisted Software Development

When Machines Prefer Waterfall: The Agentic Delivery Lifecycle and the Future of AI-Assisted Software Development

Smith, Mark A.

Paperback

Series: The Agentic AI Enterprise, Book 1

Technology & EngineeringGeneral ComputersProgramming

ISBN13: 9798249295493
Publisher: Independently Published
Published: Feb 21 2026
Pages: 326
Weight: 0.96
Height: 0.68 Width: 6.00 Depth: 9.00
Language: English
Your AI tools are making your team faster. So why is everything getting worse?

Your developers are generating code at ten times the speed. Your sprints are overflowing with completed tickets. Every metric says productivity is through the roof.

But somehow, features take longer to ship. Quality is slipping. Your best engineers are buried in review queues. And the last production incident cost more than the AI tools saved all year.

Welcome to the Velocity Paradox-and you're not alone.

McKinsey reports that 92% of companies plan to increase AI investment over the next three years-yet most are seeing diminishing returns from the tools they already have. The problem isn't the technology. It's that organizations are forcing AI agents into methodologies designed for human limitations. Two-week sprints made sense when writing code took weeks. When machines can generate code in minutes, those same sprints become the bottleneck.

When Machines Prefer Waterfall introduces the Agentic Delivery Lifecycle (ADLC)-a complete methodology for the age of AI-assisted software development. Based on research from Tsinghua University, MIT, Anthropic, and real-world case studies, this book reveals why the world's leading AI platforms have independently converged on the same conclusion: AI agents perform best with structured, sequential workflows-not Agile.

What You'll Learn

  • The Velocity Paradox: Why AI tools increase individual output while decreasing organizational delivery-and how to fix it

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