Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment patterns that correlate with incidents. Machine learning algorithms can ...
What separates casual vibe coders from elite builders? It's not better prompts. It's systems. Here's the exact framework I use to keep AI projects production-ready.
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
Anthropic CEO Dario Amodei believes software engineers may soon be an extinct species. In an interview with The Economist at the World Economic Forum in Davos, Amodei said AI models could do “most, ...
Agent deployments differ from traditional software launches. Governance can not be an afterthought with agents. 'AgentOps' now enters the scene. Excitement about AI agents may seem over the top, but ...
Like most tech leaders, I’ve spent the last year swimming in the hype: AI will replace developers. Anyone can build an app with AI. Shipping products should take weeks, not months. The pressure to use ...
Four big lessons, seven practical tips, three useful patterns, and five common antipatterns we learned from building an AI CRM. Context engineering has emerged as one of the most critical skills in ...
Entrepreneurship lessons are being added to introductory engineering courses at New Jersey Institute of Technology in 2026, where students will be motivated to learn front-end product research and ...
In corporate life, sometimes the smartest idea in the room gets dismissed by the loudest voice. When an engineer’s practical solution was brushed off as “out of his lane,” he decided to stay quiet and ...
As cloud project tracking software monday.com’s engineering organization scaled past 500 developers, the team began to feel the strain of its own success. Product lines were multiplying, microservices ...
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