In his interview, Neal Ford explores architectural trade-offs, the importance of context, and how AI is changing the way architectural intent is captured and enforced.
In his interview, Murat Erder explores how AI is reshaping Continuous Architecture, from emerging technical debt and faster feedback loops to the growing importance of architectural accountability.
Radia Perlman challenges long-held assumptions about network protocols and explains why understanding past design decisions is key to building better systems.
Mark Richards explains why everything in software architecture is a trade-off and shares insights on collaboration, business context, patterns, microservices, and architecture as code.
Aino Vonge Corry shares her perspective on AI as the “great amplifier,” from fear and misuse to the growing importance of feedback, communication, and agile practices.
Sarah Wells shares how organizations can rethink architecture governance to reduce friction, balance autonomy and standardization, and help teams make better decisions.
Peter Hruschka explores how resource constraints shape framework design and why abstraction, modularity, and clear interfaces are essential for effective architectures.
Clare Sudbery discusses why Test-Driven Development is essential when coding with LLMs and shares her nuanced perspective on the benefits and risks of AI.
In his interview, Vaughn Vernon explains how AI can boost software development while highlighting why craftsmanship, domain knowledge, and critical thinking still matter.
In his interview, Barry O’Reilly explains why software architects should stop relying on predictions and instead build systems that remain resilient in the face of uncertainty.
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