Amit Patel from AWS Kiro explains how spec-driven development solves the problem of AI context loss by turning requirements into a persistent, structured spec...
Lake Dai, globally recognized AI expert and Carnegie Mellon professor, explains why the modern CTO must adopt the financial foresight of a CFO to manage...
Superhuman's Loic Houssier shares a practical playbook for driving bottom-up AI adoption on skeptical engineering teams by leveraging a trusted internal...
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Super.com's Matt Culver reframes the AI debate, arguing that leaders should use efficiency gains to multiply team impact and value, not cut costs, by aligning...
Pinecone's Ram Sriharsha makes the definitive case for vector databases, explaining why externalizing search via RAG is essential for the AI stack's security...
Salesforce's Dan Fernandez shares his vision for Enterprise Vibe Coding, detailing how his team is taming agentic AI development with security guardrails,...
Cloudflare's Brendan Irvine-Broque provides a roadmap for the Model Context Protocol (MCP), explaining how it is evolving into the next infrastructure layer...
Ken Kocienda, Apple veteran and creator of the iPhone keyboard and autocorrect, shares his philosophy of bridging the liberal arts with technology to make tech...
Elizabeth Lingg, Director of Applied Research at Contextual AI, explains why the future of enterprise AI depends on grounded models, and how to effectively...