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Software Engineering
2 posts on this topic — practical guidance from Shawn Livermore on fractional CTO, AI, and technology leadership.
The Gap Between Hacking and Engineering Is Invisible in the Demo — and Expensive at Scale
Gergely Orosz draws the line between the engineering mindset and the vibe coding mindset. Across 27 years of production engagements, that line determines which systems hold at scale and which ones don't.
Read post →Enterprise AI Coding Proves Itself on Migrations — Not Greenfield Projects
AI coding tools generate code fast. In enterprise settings, the use case where they reliably pay off is migration — where the expected output is well-understood and the comparison point is clear.
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