Dev Interrupted

By LinearB

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 def... more

· Technology

4.8

146146 ratings

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FAQs about Dev Interrupted:

How many episodes does Dev Interrupted have?

The podcast currently has 304 episodes available.

Dev Interrupted episodes:

June 19, 2026Microsoft’s wandering eyes, data labeling duties for senior devs at Meta, and prod is the new source code
This week on the Friday Deploy, Ben and Andrew unpack the sudden disappearance of Fable 5 and discuss whether Meta's aggressive pivot to AI data labeling is destroying its legendary engineering culture. The hosts also explore the rise of highly capable open source Chinese models like GLM 5.2 and why tech giants are considering them to slash skyrocketing inference bills. Finally, they dive into new research proving that as AI execution takes over, human domain expertise and strict production observability are more critical than ever.
Register here: for the June 25th workshop, Life Beyond Tokenmaxxing, to learn how to measure real AI impact and ROI across the SDLC.
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Kayfable
Why is Meta destroying its engineering organization?
AI demands more engineering discipline. Not less
Z.ai’s open-weights GLM-5.2 beats GPT-5.5 on multiple long-horizon coding benchmarks for 1/6th the cost
Microsoft Mulls China’s DeepSeek for Copilot, Probably to Trump’s Chagrin
Agentic coding and persistent returns to expertise
OFFERS
Start Free Trial: Get started with LinearB's AI productivity platform for free.
Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.
LEARN ABOUT LINEARB
AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
...more
39min
June 16, 2026Your SDLC needs a productivity context engine
What if the secret to fixing your overwhelmed SDLC is not a better AI coding model, but a smarter productivity context engine? This week on Dev Interrupted, LinearB founders Ori Keren and Dan Lines join the show to discuss the messy middle of AI adoption and the painful transition from the traditional SDLC to the Agentic Development Life Cycle. They unpack why the era of cheap AI experimentation is over, how rising token costs are forcing engineering leaders to prioritize strict business ROI, and how autonomous tools are fundamentally changing the daily workflow of developers.
Register here: for the June 25th workshop, Life Beyond Tokenmaxxing, to learn how to measure real AI impact and ROI across the SDLC.
Follow the show:
Subscribe to our Substack
Follow us on LinkedIn
Subscribe to our YouTube Channel
Leave us a Review
Follow the hosts:
Follow Andrew
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Follow today's guest:
LinearB: Learn how to transform your SDLC and build an engineering context engine at linearb.io
gitStream: Explore LinearB's workflow automation tool for routing pull requests at linearb.io/platform/gitstream
Follow Ori and Dan on LinkedIn: Ori Keren | Dan Lines
OFFERS
Start Free Trial: Get started with LinearB's AI productivity platform for free.
Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.
LEARN ABOUT LINEARB
AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
...more
40min
June 12, 2026How to harness your dragon with Fable, tech leaders turn to model routing, and coping with AI rockstars
Anthropic just dropped a dragon-class model on our laps, but can you steer it without torching your codebase in the process? This week on the Friday Deploy, Ben and Andrew unpack the sudden arrival of Fable 5 and how to leverage it to scrutinize your systems before the massive API paywall hits. They also take aim at the unsustainable trend of tokenmaxxing and explore how intelligent model routing can drastically cut your AI spend. Finally, they tackle the unmaintainable mess left behind by AI rockstar developers and share how they are orchestrating their own agent-to-agent collaboration.
Register here: for the June 25th workshop, Life Beyond Tokenmaxxing, to learn how to measure real AI impact and ROI across the SDLC.
Follow the show:
Subscribe to our Substack
Follow us on LinkedIn
Subscribe to our YouTube Channel
Leave us a Review
Follow the hosts:
Follow Andrew
Follow Ben
Follow Dan
Follow today's stories:
Bots Have Officially Taken Over the Internet, Humans Are The Minority
Claude Fable 5 and Claude Mythos 5
What it feels like to work with Mythos
Sam Altman says OpenAI's top token spender uses 100 billion tokens a month — and they're not even the world leader
How I Cut Our AI Spend in Half | "Tokenmaxxing" is Dead
Cleaning up after AI rockstar developers
OFFERS
Start Free Trial: Get started with LinearB's AI productivity platform for free.
Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.
LEARN ABOUT LINEARB
AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
...more
36min
June 09, 2026All software is an optimization of tokens and time (and speed is still the moat) | AMD’s Anush Elangovan
What happens when you strip away decades of engineering abstractions and let AI navigate the wild west between your initial intent and the final outcome? This week on Dev Interrupted, Anush Elangovan, VP of AI Software at AMD, returns to unpack the rapid shift toward an agentic software development lifecycle. Anush introduces the concept of "Agentic IO," a workflow where engineers focus strictly on high-level goals while AI handles the complex implementation. The conversation also highlights the expanding productivity wingspan of modern developers, the power of local open source models, and why speed remains the ultimate competitive moat.
Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms
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Leave us a Review
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Follow today's guest:
AMD ROCm: Learn more about AMD's open-source software stack for AI at rocm.docs.amd.com and on GitHub.
AMD Advancing AI 2026: Register for AMD's flagship global AI event taking place July 22-23 in San Francisco at amd.com/advancing-ai.
Follow Anush on LinkedIn: Anush Elangovan | AMD blog
OFFERS
Start Free Trial: Get started with LinearB's AI productivity platform for free.
Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.
LEARN ABOUT LINEARB
AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
...more
53min
June 05, 2026Microsoft breaks free from OpenAI, using your harness to add drag instead of velocity, and the Linux built-ins you're sleeping on
This week on the Friday Deploy, Ben and Andrew unpack the AI build-versus-buy debate, Microsoft's new independent foundation models, and the growing revolt of mathematicians against unsubstantiated AI-generated proofs. The hosts also explore Stanford’s Socratic rulebook for AI coding assistants and discuss Kent Beck's warning that engineering teams need to build "trust factories" to counter the rapid chaos of AI-assisted development. Finally, they close with a defense of Linux primitives and why you should probably be using a systemd timer instead of the latest shiny AI tool.
Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms
Follow the show:
Subscribe to our Substack
Follow us on LinkedIn
Subscribe to our YouTube Channel
Leave us a Review
Follow the hosts:
Follow Andrew
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Follow Dan
Follow today's stories:
The AI SaaSpocalypse is a mirage
Mathematicians warn of AI threats to profession as industry encroaches
Introducing MAI-Code-1-Flash
AI Agent Guidelines for CS336 at Stanford
Trust Factory
You Don't Love systemd Timers Enough
OFFERS
Start Free Trial: Get started with LinearB's AI productivity platform for free.
Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.
LEARN ABOUT LINEARB
AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
...more
28min
June 02, 2026How to turn your 1000x engineer into a 10x everyone | LinkedIn’s Karthik Ramgopal
This week, Andrew sits down with LinkedIn Distinguished Engineer Karthik Ramgopal to explore the reality of deploying agentic platforms across a massive organization. Karthik unpacks the mechanics of AI memory, spanning procedural and episodic structures, and explains how to build durable engineering primitives that actually last. Finally, the two discuss the enduring importance of system fundamentals and why LinkedIn is restructuring its internship program into AI-native pods to foster a new culture of two-way mentorship.
Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms
Follow the show:
Subscribe to our Substack
Follow us on LinkedIn
Subscribe to our YouTube Channel
Leave us a Review
Follow the hosts:
Follow Andrew
Follow Ben
Follow Dan
Follow today's guest:
Follow Karthik on LinkedIn: Karthik Ramgopal
OFFERS
Start Free Trial: Get started with LinearB's AI productivity platform for free.
Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.
LEARN ABOUT LINEARB
AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
...more
53min
May 29, 2026The cost of intelligence will never be this cheap again, the failure of intensive specs, and how bots disguise inefficient workflows
Are we officially entering the "Eternal Sloptember"? This week on the Friday Deploy, Ben and Andrew unpack the quiet rebellion against skyrocketing API costs as teams transition to fine-tuned local models. They also explore the changing physical architecture of AI data centers, the dangers of using autonomous tools as a crutch for broken workflows, and why spec-driven development is critical for keeping agentic code in check. Finally, the hosts share their latest personal agent experiments, from benchmarking open-source models on a local Mac Studio to taming an AI-generated second brain.
Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms
Follow the show:
Subscribe to our Substack
Follow us on LinkedIn
Subscribe to our YouTube Channel
Leave us a Review
Follow the hosts:
Follow Andrew
Follow Ben
Follow Dan
Follow today's stories:
Outsourcing plus LocalAI will soon become more economical vs Frontier labs
AI Datacenters Were Built for GPUs. What Happens When You Remove the GPUs?
"The AI Can Do It" Is Not an Excuse To Tolerate a Mess
The Eternal Sloptember
I’m tired of talking to AI
If you let AI do your writing, I will come to your house and kill you
A Blast from the Past: SDD and the Illusion of Known Scope
Andrew’s paper: Mise en Place for Agentic Coding: Deliberate Preparation as Context Engineering Methodology
OFFERS
Start Free Trial: Get started with LinearB's AI productivity platform for free.
Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.
LEARN ABOUT LINEARB
AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
...more
39min
May 26, 2026Observability is your profit center now | Honeycomb’s Christine Yen
What if you stopped treating observability as a simple insurance policy and started viewing it as a profit center? This week, Andrew sits down with Honeycomb CEO Christine Yen to explore how observability, data science, and product development are colliding in the agentic era. Christine explains why production signals must become compiler inputs for autonomous agents and how MCP tools are democratizing telemetry for entire organizations. Finally, the two discuss Honeycomb's latest Innovation Week announcements and the exact strategy for reframing observability from basic risk mitigation into a clear revenue accelerant.
Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms
Follow the show:
Subscribe to our Substack
Follow us on LinkedIn
Subscribe to our YouTube Channel
Leave us a Review
Follow the hosts:
Follow Andrew
Follow Ben
Follow Dan
Follow today's stories:
Honeycomb Blog: Read deep dives on SLOs at honeycomb.io/blog
Honeycomb Innovation Week: Explore the latest announcements
Required Reading: Check out the book Observability Engineering by Charity Majors, Liz Fong-Jones, and George Miranda.
HumanX Interview: A Codebase Is No Longer the Source of Truth
"Production is a Compiler Input": Chad Fowler's take on the future of code generation.
Follow Christine on LinkedIn
OFFERS
Start Free Trial: Get started with LinearB's AI productivity platform for free.
Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.
LEARN ABOUT LINEARB
AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
...more
48min
May 22, 2026What Google didn’t announce at I/O, defining “dark flow” and ignoring your first brain to build your second one
Andrew and Ben recap the biggest announcements from Google I/O, breaking down everything from the new Gemini Spark agent to Gemini 3.5 Flash. They also explore how leaders can distill their management style using AI, debate whether complex note-taking apps are a form of procrastination, and call on listeners to participate in a new vibe coding research study. Finally, Andrew shares his "Skills Olympics" methodology for stress-testing and managing his own personal fleet of AI agents.
Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms
Follow the show:
Subscribe to our Substack
Follow us on LinkedIn
Subscribe to our YouTube Channel
Leave us a Review
Follow the hosts:
Follow Andrew
Follow Ben
Follow Dan
Follow today's stories:
PollyReach: Give your agent a real number and voice to make calls.
Google is launching its own version of OpenClaw
Google touts its tokenmaxxing and capex spending amid AI orgy
Vibe Coding Experience Survey
Distilling yourself
Open-source alternative to Obsidian
OFFERS
Start Free Trial: Get started with LinearB's AI productivity platform for free.
Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.
LEARN ABOUT LINEARB
AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
...more
31min
May 19, 2026Android is the frontier for agents and other lessons from Google I/O | Matthew McCullough
With Google I/O 2026 underway this week, Andrew sits down with Matthew McCullough, VP of Android Development Experiences at Google, to talk about the AI evolution happening across the Android ecosystem. Matthew shares his insights on why developers are rapidly transitioning into agent orchestrators, why CLIs are cool again, and how tools like AI Studio have rolled out a massive welcome banner for anyone to actively participate in the creation process. Finally, the two explore the future of mobile user interfaces and how the latest Android 17 developments are stripping away legacy friction to seamlessly get users straight to the good part.
OFFERS
Start Free Trial: Get started with LinearB's AI productivity platform for free.
Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.
LEARN ABOUT LINEARB
AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
...more
28min

FAQs about Dev Interrupted:

How many episodes does Dev Interrupted have?

The podcast currently has 304 episodes available.

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