Stop auditing code. Audit the specs, validation, and integration—that's what matters.
The end of coding
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You don’t follow trends. You set them. Let your network catch up.
For decades, the line of code was the atomic unit of value in the digital world. That foundation is now cracking.
Today, AI assistants like GitHub Copilot write up to 80% of the code for senior engineers, triggering a radical transformation in the act of programming.
This shift raises existential questions for founders, investors, and corporate leaders about technical moats, talent assessment, and workforce readiness. The conventional wisdom—to simply "learn prompt engineering"—is a surface-level observation that is dangerously incomplete. It describes a change in workflow but fails to analyze the profound redistribution of the value chain happening underneath. This is a seismic shift creating new winners and losers. As always, victory will belong to those who move beyond the "what" to understand the "why."
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The future toolkit.
the end of coding podcast
In the new era of software development, where AI generates the code, competitive advantage is no longer measured by coding velocity. It is measured by the quality of human judgment. This audit is designed to help you assess any technical project or team against the four critical layers of the new value stack.
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