Dev Interrupted

An interview based podcast hosted by Andrew Zigler. Show notes usually have a summary and relevant links.

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Episodes

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All software is an optimization of tokens and time (and speed is still the moat) | AMDs Anush Elangovan

9 Jun 2026

The evolution of AI from basic orchestration to autonomous, self-improving agentic systems, exemplified by AMD's Rockhamstack platform, highlights open-source collaboration, accelerated software development via multi-agent systems, challenges in intent alignment, and the need for cultural adaptation, abstraction, and portable ecosystems to scale innovation while balancing automation with human oversight.

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Friday Deploy 6/5 Podcast

5 Jun 2026

The text examines AI's disruptive potential on SaaS and job security, weighing its near-term limitations against productivity gains, emphasizing domain expertise's critical role, and highlighting challenges like unverified AI outputs, SDLC inefficiencies, and the need for structured practices to ensure reliability in AI-assisted workflows.

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How to turn your 1000x engineer into a 10x everyone | LinkedIns Karthik Ramgopal

2 Jun 2026

AI leadership enhances team capabilities through upskilling and shared AI technologies like context-aware systems and long-term memory, emphasizing collaborative human-AI workflows, open standards, cultural shifts in learning, and holistic integration beyond coding to adapt to evolving job markets.

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The cost of intelligence will never be this cheap again, the failure of intensive specs, and how bots disguise inefficient workflows

29 May 2026

Evolving AI trends highlight model updates, shifts toward local deployment to cut cloud costs, challenges in AI quality and governance, and the need for strategic model routing, infrastructure improvements, and collaboration between AI and human expertise.

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Observability is your profit center now | Honeycombs Christine Yen

26 May 2026

AI systems' growing complexity demands advanced observability practices to bridge technical-business gaps, foster cross-functional collaboration, and enable adaptive, data-driven decision-making in autonomous, non-deterministic environments.

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What Google didnt announce at I/O, defining dark flow and ignoring your first brain to build your second one

22 May 2026

AI agents are being integrated into real-world systems like communication and blockchain, raising privacy concerns and challenges in handling complex tasks, while critiques focus on the need for specialized tools over generalized AI, alongside advancements in processing scale and emerging concepts like autonomous decision-making and "second brain" frameworks.

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Android is the frontier for agents and other lessons from Google I/O | Matthew McCullough

19 May 2026

Android development is integrating AI and machine learning to merge human-AI workflows, leveraging tools for both manual and automated tasks, reviving command-line interfaces, and balancing intuitive design with technical complexity to enhance productivity and adapt to evolving user needs.

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Agents get their own AOL, Andrew gets published, and vibe coding is actually good?

15 May 2026

The evolution from early IM platforms like AIM/ICQ to modern AI agents is explored, highlighting features like customizable profiles and games, challenges in AI development, organizational barriers to adoption, and AI's growing role in reshaping workflows, collaboration, and technical practices through frameworks like the Apex Framework.

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Its Tuesday and your tech stack is obsolete (again). Now what? | Theory Ventures Bryan Bischof

12 May 2026

Explores AI and data science challenges through collaborative research, hidden technical hurdles like inference optimization, educational gaps, critiques of hype cycles, frameworks like Apex, and the balance between AI's role as a driver/tool, cautioning against prioritizing speed over predictability in integration with human workflows.

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Goblins in prod, the messy middle of AI adoption, and everything is a harness now

8 May 2026

AI development challenges include NFT-based identities, avatar integration, data leakage issues like "Goblin Invasion," risks of bias in retraining, agent misalignment, workforce disparities, open-source frameworks like Lattice, lightweight tools, and the need for systemic safeguards to address technical and organizational deployment hurdles.

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