General AI
Shift to Skills-in-the-Middle Programming Paradigm
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Why it matters
- →This paradigm shift could streamline AI development and improve agent performance.
The AI development landscape is transitioning from traditional software development to a 'skills-in-the-middle' paradigm. This new approach allows developers to create markdown skill files that guide AI agents, rather than hard-coding logic. As a result, system architects are evolving into skills architects, emphasizing the importance of skills development in AI programming. This shift is expected to enhance the flexibility and adaptability of AI systems.
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WIRED AI · May 28, 2026 · Background
