The Productivity Paradox: Why More AI Code is Slowing Down Shiptimes

SUMMARY: Discover how AI is transforming software development and what it means for engineering leaders. GUEST: Jeff Keyes , Field CTO at AllStacks SHOW: 1017 SHOW TRANSCRIPT: The Reasoning Show Transcript SHOW VIDEO: SHOW SPONSORS: ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this! Nasuni - Activate your data for AI and request a demo SHOW NOTES: Topic 1 - Welcome to the show. Tell us a little bit about your background, and what you focus on these days at AllStacks. Topic 2 - You’ve been talking to a lot of engineering leaders using AI coding tools—what’s the most surprising gap you’re seeing between increased code generation and actual delivery outcomes? Topic 3 - Why does increasing developer output with AI often lead to more debugging, duplication, or cleanup instead of faster delivery? Topic 4 - You’ve described an ‘invisible rework loop’—can you walk us through what that looks like inside a modern engineering team? Topic 5 - As code generation gets easier, where does the real bottleneck shift in the software delivery lifecycle? Topic 6 - How do unclear product or engineering specifications get amplified in an AI-assisted development environment? Topic 7 - If traditional metrics like lines of code or velocity are becoming misleading, what should engineering leaders actually measure to know if AI is improving delivery? Topic 8 - What does a ‘healthy’ AI-assisted development workflow look like 12–18 months from now? FEEDBACK? Email: show @ reasoning dot show Bluesky: @reasoningshow.bsky.social Twitter/X: @ReasoningShow Instagram: @ reasoningshow TikTok: @reasoningshow

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The Productivity Paradox: Why More AI Code is Slowing Down Shiptimes is an episode from The Cloudcast (.net) - Weekly Cloud Computing Podcast by Massive Studios.

This episode is 33:50 long.

This episode was published on Apr 8, 2026.

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