What happened
AI-assisted coding tools are revealing a fundamental split among developers, distinguishing those driven by the "result" of making things happen from those who value the "craft" of writing code. L. Orchard, a long-time developer, observes that while some mourn the compression of discovery and the loss of hand-crafting, his own grief stems from shifts in the broader web development ecosystem, economy, and culture, rather than the act of coding itself. This technological advancement makes previously invisible motivations explicit as developers now choose between machine-generated and hand-crafted code.
Why it matters
This divergence in developer motivation and approach impacts how platform engineers and architects prioritise tool adoption and team skill development. Procurement teams face decisions on investing in AI coding assistants versus traditional tooling, affecting project timelines and resource allocation. The shift also redefines career paths for developers, moving the "puzzle-solving" from code implementation to higher-level architecture and direction, potentially altering hiring profiles and training needs.
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