Chalk co-founder Elliot Marx argues that the future of AI relies on real-time data pipelines instead of traditional pre-computation, detailing how to solve...
Are developers happy yet? Unpacking the 2025 Developer Survey
Stack Overflow's Erin Yepis breaks downs the 2025 Developer Survey, detailing the rise in job satisfaction driven by autonomy and compensation, the trust gap...
From Kubernetes to AI maximalism
Kubernetes co-creator Craig McLuckie of Stacklok advocates for an "AI maximalist" philosophy, arguing that engineering leaders must move beyond questioning the...
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Speed is the moat
Anush Elangovan, VP of AI Software at AMD, reveals why the company's open-source strategy with ROCm is essential, arguing that speed of innovation and a...
How spec-driven development is changing the rules
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...
The CTO must now think like the CFO to survive
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...
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How leaders win over their team’s biggest AI skeptics
Superhuman's Loic Houssier shares a practical playbook for driving bottom-up AI adoption on skeptical engineering teams by leveraging a trusted internal...
AI isn't for cutting costs, it's for multiplying impact
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...
The timelessness of vector databases
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...