The 5 Levels of AI Coding (Why Most of You Won't Make It Past Level 2)

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What's really happening when 90% of Claude Code was written by Claude Code, yet most developers using AI get measurably slower? The common story is that AI coding tools make everyone faster—but the reality is more complicated when a rigorous study found experienced developers took 19% longer while believing they were 24% faster.

In this video, I share the inside scoop on why the gap between dark factories and everyone else is the most important divide in tech:

• Why StrongDM's three-person team ships production software with no human-written or human-reviewed code
• How the five levels of vibe coding reveal that 90% of developers plateau at level three
• What external scenarios and digital twin universes solve that traditional tests cannot
• Where the bottleneck has moved from implementation speed to specification quality

For engineering leaders watching the frontier pull away, this is not a tool problem—it's a people problem, a culture problem, and a willingness-to-change problem that no vendor can close.

Chapters
00:00 The Gap Between Dark Factories and Everyone Else
02:42 The Five Levels of Vibe Coding
06:35 What Level Five Actually Looks Like
09:02 Scenarios vs Tests: Why the Distinction Matters
11:29 Digital Twin Universe for Autonomous Development
13:07 The Self-Referential Loop at Anthropic and OpenAI
16:37 Why Experienced Developers Get 19% Slower
21:06 Organizational Structures Built for Humans
25:13 The Bottleneck Moves to Spec Quality
25:54 The Brownfield Reality Most Companies Face
30:34 The Junior Developer Pipeline Is Collapsing
34:17 Hiring Shifts Toward Generalists
37:29 What AI-Native Org Shapes Look Like
40:03 The Restructuring That's Coming
41:13 Demand for Software Never Saturates

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