What if iteration is all we need? (www.robert-glaser.de)

Anthropic recently released their AI Fluency Index, revealing that iteration and refinement are crucial for productive interactions with AI systems like Claude. The study found that 85.7% of productive conversations involved iterative behaviors, significantly enhancing users' ability to question assumptions and identify gaps in AI outputs. This insight suggests that iteration isn't just a practice; it's fundamental to effective collaboration with AI, potentially reshaping conventions in software development. The implications for the AI/ML community are profound, especially as the cost of iteration declines. The concept of the "dark factory," exemplified by StrongDM's approach where humans largely oversee AI-driven coding with minimal manual intervention, challenges traditional development processes built around human limitations. Instead of rigid ceremonies like sprints and standups, the emphasis is shifting to iterative feedback loops where specifications evolve based on real-time performance assessments. This redefines team dynamics, allowing professionals across roles—including designers and product owners—to engage more directly with development, fostering a more integrated approach to software creation and education. As this transformation unfolds, organizations must adapt to leverage the new potential for rapid iteration, decision-making, and innovation facilitated by AI technologies.