The article worries about the stagnation of AI and software quality, emphasizing that many may settle for inadequate solutions that don’t address core issues. It questions whether people will care about improving technology or simply accept mediocrity. The author fears for the future of software craftsmanship in a world focused on speed over quality.

The article discusses how LLM coding tools have transformed software development, making it faster and more accessible. It reflects on the shift from high-effort coding to rapid prototyping, raising concerns about quality and the true value of code in this new landscape.

Quality in software products is often misrepresented through metrics and centralized control, which can lead to fragility. A decentralized approach, where quality is upheld by those doing the work, fosters resilience and better aligns with user expectations. Emphasizing user perception over rigid standards allows for a more adaptable and effective definition of quality.

Quality in software is often misunderstood and mismanaged, with traditional centralized approaches relying on KPIs and leadership biases. This article argues for a shift towards decentralized quality, where standards emerge organically from those directly involved in the work, fostering resilience and meeting user expectations more effectively.