Signals

The author argues that agentic AI coding tools are slashing software development costs by up to 90% by automating labor-intensive tasks, unleashing latent demand for custom applications, and shifting the developer's role toward domain expertise and oversight.

Despite widespread adoption of generative AI in workplaces, most organizations see no measurable ROI due to low-quality 'workslop' output that fails to deliver real value, highlighting the need for better integration strategies.

Analysis of why AI coding tools haven't produced the expected flood of low-quality software despite productivity claims.

Exploring how sustained attention creates psychological feedback loops that make tasks more engaging and manageable over time.