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Telling your agent “no” is a moat now, rearward deployed engineers, and harnessing the context for your SDLC	Dev Interrupted	34:12
The playbook to close your team’s AI productivity gap \| LinearB’s Yishai Beeri	Dev Interrupted	47:21
Model welfare, building a civilization for agents, and the CI/CD landrush	Dev Interrupted	38:54
Why AI gains are unevenly distributed in your engineering team \| Asana’s Arnab Bose	Dev Interrupted	48:58
The rise of software factories, the fall of first drafts, and the hidden tax holding back your agents	Dev Interrupted	26:56
Why the traditional pull request has a target on its back \| CircleCI’s Rob Zuber	Dev Interrupted	44:16
Models escaping containment, intelligence becoming a commodity, and AI code review to the rescue	Dev Interrupted	29:20
The most underrated dataset in enterprise AI is your org chart \| Rippling's Albert Strasheim	Dev Interrupted	35:47
Rebuilding CLIs for agents, it’s time to get MCP-certified, and why human code review will never catch up	Dev Interrupted	23:27
How to see in the dark factory \| LaunchDarkly's Cameron Etezadi	Dev Interrupted	47:22
How to cultivate expertise with local models, delegating to subagents, and we all really stopped reading, huh?	Dev Interrupted	28:52
Agents moved where the work happens (and using MCP to find it again) \| Slack’s Jaime DeLanghe	Dev Interrupted	51:27
Empathetic leadership for tech overlords, a good backlog completes itself, and who’s agent is this, anyways?	Dev Interrupted	36:45
How LinearB helps Kraken find hidden bottlenecks across thousands of engineers \| Nik Sudan	Dev Interrupted	43:54
The discernment horizon, loop-driven development, and a wizard’s very defensible pond	Dev Interrupted	28:53
Your developers are the attack surface now and vibe coding as a vulnerability \| Tanya Janca	Dev Interrupted	46:06
Microsoft’s wandering eyes, data labeling duties for senior devs at Meta, and prod is the new source code	Dev Interrupted	38:02
Your SDLC needs a productivity context engine	Dev Interrupted	39:44
How to harness your dragon with Fable, tech leaders turn to model routing, and coping with AI rockstars	Dev Interrupted	35:45
All software is an optimization of tokens and time (and speed is still the moat) \| AMD’s Anush Elangovan	Dev Interrupted	52:21
Microsoft breaks free from OpenAI, using your harness to add drag instead of velocity, and the Linux built-ins you're sleeping on	Dev Interrupted	27:13
How to turn your 1000x engineer into a 10x everyone \| LinkedIn’s Karthik Ramgopal	Dev Interrupted	52:50
The cost of intelligence will never be this cheap again, the failure of intensive specs, and how bots disguise inefficient workflows	Dev Interrupted	38:45
Observability is your profit center now \| Honeycomb’s Christine Yen	Dev Interrupted	47:32
What Google didn’t announce at I/O, defining “dark flow” and ignoring your first brain to build your second one	Dev Interrupted	30:04
Android is the frontier for agents and other lessons from Google I/O \| Matthew McCullough	Dev Interrupted	27:10
Agents get their own AOL, Andrew gets published, and vibe coding is actually good?	Dev Interrupted	40:58
It’s Tuesday and your tech stack is obsolete (again). Now what? \| Theory Venture’s Bryan Bischof	Dev Interrupted	55:52
Goblins in prod, the messy middle of AI adoption, and everything is a harness now	Dev Interrupted	31:19
Teach the primitives or watch your competitor define them \| Baseten’s Philip Kiely	Dev Interrupted	35:57
Tokenmaxxing scoreboards, the vegan LLM from before 1931, and 30% of the web is now AI-generated	Dev Interrupted	38:05
Giving robots a brain \| Intrinsic’s Brian Gerkey	Dev Interrupted	51:59
The harness is the showdown, the humans are the tool calls, and have you seen my Claude Code buddy?	Dev Interrupted	37:19
The best model for your team? You haven’t invented it yet. \| Ai2’s Tim Dettmers	Dev Interrupted	45:14
The self-authoring wiki, beating brain fry, and Obsidian as memory is a trap	Dev Interrupted	38:22
The guardian in the machine \| Wayfound’s Tatyana Mamut	Dev Interrupted	44:55
Reading model benchmarks like a pro, Mythos is looming, and Claude talk caveman, save big token	Dev Interrupted	30:44
Stop measuring AI adoption. Start measuring AI impact. \| LinearB’s APEX framework	Dev Interrupted	42:26
Virtual pets in your terminal, ads in your pull request, & no more CSS in your browser?	Dev Interrupted	35:31
Retrofit or reimagine? Developer environments for humans and agents \| Ona’s Matt Boyle	Dev Interrupted	37:03

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

Dev Interrupted

34:12

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

Dev Interrupted

47:21

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

Dev Interrupted

38:54

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

Dev Interrupted

48:58