Podcasts | Dev Interrupted by LinearB

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The one where we vibe code holiday cards | Season 5 Finale

In the Season 5 Finale, hosts Andrew and Ben reflect on a massive year for Dev Interrupted, share a sneak peek of Season 6, and head to YouTube for a chaotic,...

Why engineering leadership matters more than ever

Engineering executive Manoj Mohan argues that AI will not make engineering leadership obsolete; as code generation costs drop, the demand for high-level...

The hidden costs of pre-computing data

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...

Real conversations with top engineering leaders every week

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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...

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...

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...

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