UL Top 10 AI Risks (v1)
A guide outlining the top 10 personal and business risks associated with AI adoption, including failure to adopt and security concerns.
A guide outlining the top 10 personal and business risks associated with AI adoption, including failure to adopt and security concerns.
Explores how past technological constraints shape software architecture and business behavior, and why removing them doesn't automatically change established practices.
Discusses the importance of human factors like team onboarding, reversibility, and support when choosing software architectures and technologies.
A developer's strategy for evaluating new tech tools by letting them mature on a 'carousel' before adoption, using examples like React, Gatsby, and Tailwind.
Exploring the advantages and challenges of adopting new technologies like Apollo & GraphQL, using a real-world case study from CodePen.
Argues that in government IT, the main challenge isn't technology but cultural adoption and bureaucratic inertia.
Explores resistance to disruptive tech like open source and cloud computing, analyzing why businesses often stick with legacy systems despite clear advantages.
A critique of common pitfalls that hinder success in Silicon Valley's tech startup scene, focusing on mindset and behavior.