The article explores the dangers of relying on AI-generated outputs in software development, highlighting how AI can create a false sense of certainty. It emphasizes the importance of distinguishing between proof, evidence, and belief, urging developers to critically assess AI’s role in decision-making.

The article reflects on the rapid changes in software development and strategy brought on by AI in 2025. It argues that as barriers to building collapse, the focus shifts from mere capability to judgment in design and execution. The author anticipates that 2026 will emphasize clarity and better decision-making over speed and volume.

The article compares hospital triage systems to software development prioritization, emphasizing the need for flexibility and reassessment in project planning. It argues for protocols in decision-making, dedicated capacity for various work types, and addressing bottlenecks as system-wide issues. Ultimately, it encourages teams to prioritize effectively and adapt to changing conditions.