The article traces tech’s rise from cloud in 2016 to today, showing software firms now rival entire economies in market cap. It then draws parallels to 19th-century railroads, explores AI’s potential to reshape corporate hierarchies, notes stablecoins shifting toward payments, and examines plunging trust in mass media among younger generations.

The article explores the definition of an engineer and what engineering truly entails, especially in the context of advancing AI technology. It emphasizes that engineering is about taking the right actions in the right sequence to achieve various intentions, highlighting the importance of clarity in project goals and the art of sequencing tasks.

Different software markets will experience distinct impacts from AI coding, as constraints vary across sectors. While some areas, like personal software, may see explosive growth due to lowered skill barriers, others, such as enterprise products, will face competitive pressures without significant market expansion. Understanding these nuances is essential for predicting the future of software development.

In a podcast discussion, predictions for the tech industry in 2026 are shared, highlighting the undeniable improvement of LLMs in writing code, advancements in coding agent security, and the potential obsolescence of manual coding. Other predictions include a successful breeding season for Kākāpō parrots and the implications of AI-assisted programming on software engineering careers.

Claude Opus 4.5 is launched as a cutting-edge AI model designed for coding, research, and office tasks. It boasts significant improvements in efficiency, reasoning, and task management, making it accessible for developers and enterprises at a competitive price. The model excels at complex workflows, demonstrating advancements in self-improving abilities and safety measures.