

Dev Interrupted
Software itself is fundamentally changing. We explore the transition to agentic orchestration, vibe coding, and AI-native development, grounding the conversation in the principles that have always defined great engineering. On Tuesdays, we interview the founders, architects, and builders of the world’s most impactful tech to uncover the timeless engineering principles and strategies shaping the next era of development. And on Fridays, we drop an end-of-week roundup of the biggest news in AI and software, and what it actually means for your career, your craft, and your life as a developer. Subscribe to stay ahead of the next era of code.
Episodes


A neutral home for MCP, A2A, goose, and more | AAIF co-founder Manik Surtani

Why AI made code review the new bottleneck, and the metric that spotted it | Newsela's Dee Wilcox

Securing tomorrow’s git forge, so we can reimagine everything else | Entire's Thomas Dohmke & Apiiro's Idan Plotnik

Treat your data pipelines like code, because your agents already do | MotherDuck's Jordan Tigani

The factory gets darker, Meta migrates to Slack, and throwing 10,000 PhDs at math problems

Your agents are starving! Airbyte’s Michel Tricot on the data ingestion crisis

NVIDIA acquires Hugging Face, OpenClaw 2.0 goes multiplayer, and the Linux kernel fights back against AI scrapers

Why software factories fail without humans | HumanLayer, Warp & LinearB

Build fences not sandboxes, earn the currency of trust, and share the cognitive burden of agents across engineers

Can agents keep a secret? We asked 1Password’s CTO Nancy Wang
Engineering leaders must shift security from a restrictive checkpoint to a "golden path" that accelerates development while maintaining rigorous quality standards. Nancy Wang, CTO at 1Password, emphasizes that the rise of AI coding agents necessitates a "no long-lived secrets" architecture, where credentials are inject...

The battle to replace Github, building assembly lines for software, and why no one finishes projects anymore

Agent, skill, or MCP? Which to use and when to use them | AWS’ Clare Liguori

Telling your agent “no” is a moat now, rearward deployed engineers, and harnessing the context for your SDLC

The playbook to close your team’s AI productivity gap | LinearB’s Yishai Beeri

Model welfare, building a civilization for agents, and the CI/CD landrush

Why AI gains are unevenly distributed in your engineering team | Asana’s Arnab Bose

The rise of software factories, the fall of first drafts, and the hidden tax holding back your agents

Why the traditional pull request has a target on its back | CircleCI’s Rob Zuber

Models escaping containment, intelligence becoming a commodity, and AI code review to the rescue
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