Team Sizes, Trust, and Testing in an AI-First World

What does the future of software development look like when AI is writing most of the code? We dive deep into how AI is fundamentally changing team dynamics, agile methodologies, and the roles we've held sacred in software engineering. We break down why humans are now the real bottleneck, how to build trust with AI-generated code, and what your development workflow should actually look like right now.

Sections & Timestamps

00:00 - Intro

0:06 - The Two Pizza Team: Still Relevant?

1:36 - Where Agile Breaks Down with AI

3:18 - Rethinking Team Structure in an AI-First World

5:06 - Can We Keep the Roles? Should We?

6:50 - From Developers to Agents: The Shift in Thinking

8:00 - Code Review is Your New Bottleneck

10:15 - The Beads Project: Never Looking at Your Own Code

12:14 - Why Companies Keep Forcing AI Into Old Processes

14:00 - Humans Are the Bottleneck Now (the Big Insight)

16:00 - How to Convince Skeptical Engineers to Trust AI Code

18:30 - Start Small, Build Confidence Over Time

21:50 - Why Brownfield Projects Are Actually AI's Sweet Spot

25:30 - Managing Context Windows and Problem Decomposition

28:00 - The Hard Problem: Testing Non-Deterministic Agents

31:50 - What We're Actually Using Right Now (Tool Rundown)

32:20 - The Rise of AI UX and Task Formatting

34:00 - Tidewave, Claude Code, and Cloud Skills

36:00 - Closing Thoughts & See You Next Time

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