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AI coding speeds development but risks defects and review overload. See how context-rich quality workflows can sustain velocity.
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Shifting from monolithic agents to portable skills makes AI more adaptable, composable, and faster to deploy across domains.- Published on
Reflections from E.ON's Tech Summit in Budapest on the foundations required to scale agents responsibly: event-driven architectures, semantic layers, agent interoperability, non-human identity, and governance by design. The infrastructure gap — not vision — is what separates pilots from production.- Published on
AI coding tools fail in complex codebases without systematic context engineering. Here's how teams break through the slop cycle.- Published on
AI's scaling era is ending. Learn why research into generalization and continual learning will shape future capabilities and safety.