An 'Ask Us Anything' session dives into the perceived shift from MCP to 'skills' in AI, alongside the evolving roles of platform engineering and cloud infrastructure. Experts debate the future of developer tooling and AI integration, highlighting critical industry shifts.
A new University of Chicago study, analyzing Cursor data, indicates a substantial increase in developer output through AI agents. The research uncovers intricate relationships between AI adoption, developer experience, and critical code evaluation.
A new deep-dive evaluation challenges standard LLM benchmarks, revealing critical performance gaps and unexpected leaders for agent-based technical workflows. Discover which models truly deliver for Kubernetes operations, policy generation, and complex troubleshooting under real-world production constraints.