Media publications, interviews, and expert contributions
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Software engineering leaders share policies that keep AI coding assistants useful without weakening review, security, or ownership of the code.
Read articleSmall-business leaders share unconventional ways to build team performance, including teaching engineers the customer workflow their software supports.
Read articleLeaders share unconventional metrics for business velocity, including whether an AI-generated result is useful enough to keep a real workflow moving.
Read articleEngineers are staying indispensable by doubling down on product sense, architectural design, and deep customer empathy — skills AI cannot yet replicate.
Read articleHow AI is driving a shift from traditional coding to high-level architecture, demanding a new focus on product thinking and cross-team integration.
Read articleBusiness leaders share the most unexpected challenges they faced when implementing process automation, and strategies to overcome them.
Read articleIndustry professionals say AI's impact on the front-end developer role is greatly exaggerated. The profession is evolving, not disappearing.
Read articleAn in-depth interview covering AI-driven products in commercial real estate, user-focused automation, and the future of AI workflows.
Read articleDevelopers and tech leaders share strategies for maintaining enthusiasm and drive when facing challenging projects or tight deadlines.
Read articleBusiness leaders share practical insights on communication, upskilling, and creating a future-ready workforce in the age of automation.
Read articleIndustry experts share how their companies foster a culture of innovation and creativity through unique initiatives and practices.
Read articleDevelopers share strategies for balancing personal and professional lives in the demanding world of tech development.
Read articleFrom prioritizing user feedback to embracing simplicity, tech leaders share the advice that could help others avoid common pitfalls.
Read articleAn interview on AI-driven tools, flat teams, and practical innovation.
Read articleA profile of building AI systems that isolate failures, recover on their own, and keep commercial real estate workflows moving under pressure.
Read articleStartup founders share their most creative and effective problem-solving methods that led to meaningful breakthroughs.
Read article“LLMs are a multiplier, not a replacement. Without fundamentals, you can ship faster in the wrong direction or produce fragile systems that break under real-world constraints.”
“The bar is shifting from being able to implement a well-defined ticket to figuring out what to build, why, and measuring how well it succeeded. Product sense, design awareness, and the ability to deeply understand customer needs are becoming core engineering skills.”
“AI-generated code had to meet exactly the same review bar as human-written code, and the author had to be able to explain every meaningful line they submitted.”
“In many AI products, the best velocity metric is not how much the system generates, but how often the system produces something that survives first contact with a real workflow.”