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    Technology

    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.

    Advertise

    Copyright: © 2024 Dev Interrupted

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    Latest Episodes:
    Agents get their own AOL, Andrew gets published, and vibe coding is actually good? May 15, 2026
    Show notes

    Is vibe coding actually good now? This week on The Friday Deploy, Andrew and Ben explore the convergence of vibe coding and agentic engineering, unpack the decline of the traditional technical interview, and discuss why companies like Warp are prioritizing AI prototypes over planning meetings. They also celebrate Andrew's newly published research on "mise en place" context engineering. Finally, they break down the enterprise AI "last mile" crisis and share how they are using personal knowledge graphs to upskill their own agents.

    Read the guide: The APEX Framework

    Follow the show:

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    Follow today's stories:

    • AOL for agents
    • Vibe coding and agentic engineering are getting closer than I’d like
    • Mise en Place for Agentic Coding: Deliberate Preparation as Context Engineering Methodology
    • Build, then align
    • Think the technical interview is dead? Think again
    • The last mile is where enterprise AI actually dies

    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.
    It’s Tuesday and your tech stack is obsolete (again). Now what? | Theory Venture’s Bryan Bischof May 12, 2026
    Show notes

    Does it feel like your favorite AI tool is declared dead one week, only to be resurrected the next? This week, Andrew sits down with Bryan Bischof, Head of AI at Theory Ventures, to explore the hidden levers of inference systems and the industry's obsession with prematurely writing off useful tools. Bryan shares his experiences with why prompt optimization is mostly a dead end, the secret to building high-performing data agents, and how his team builds operational software for VCs. The two also break down the origins of the satirical rip-grep.com and drop hints about Bryan's highly anticipated next AI game show experiment.

    AI Council 2026: Catch Bryan's track on inference systems and get tickets.

    Read the guide: The APEX Framework

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    • Events: Catch Bryan's track live at the AI Council Conference.
    • Writing: Check out the April Fools manifesto at rip-grep.com
    • Theory Ventures: Learn more about the work happening at Theory Ventures.
    • X/Twitter: @BEBischof
    • LinkedIn: Bryan Bischof

    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.
    Goblins in prod, the messy middle of AI adoption, and everything is a harness now May 08, 2026
    Show notes

    Are you stuck in the "messy middle" of AI adoption where individual productivity doesn't actually translate to organizational impact? This week on the Friday Deploy, Andrew and Ben break down the hilarious and terrifying realities of agentic intention drift, exploring how a "goblin" invasion in ChatGPT and poorly scoped tokens are wreaking havoc on production environments. They also navigate this messy organizational adoption phase, discussing why senior developers are accelerating while juniors stall out on the K-shaped productivity curve. Finally, the hosts wrap up with a look at the open-source renaissance of agentic harnesses like Lattice and Pi.dev.

    Read the guide: The APEX Framework

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    Follow today's stories:

    • Where the goblins came from
    • AI didn't delete your database, you did
    • When everyone has AI and the company still learns nothing
    • Fragments: May 5
    • Specsmaxxing
    • claude code is not making your product better

    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.
    Teach the primitives or watch your competitor define them | Baseten’s Philip Kiely May 05, 2026
    Show notes

    If you aren't the one educating your users on the fundamentals of AI, your competitors will happily do it for you. This week on Dev Interrupted, Andrew sits down with Philip Kiely, Head of AI Education at Baseten and author of Inference Engineering, to discuss why the secret to winning the AI market is owning the educational narrative through active market development. They explore the rise of the "Double-T" shaped engineer, the hidden complexities of scaling the inference stack, and why the most successful AI companies treat developer education as a mission-critical go-to-market motion.

    Read the guide: The APEX Framework

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    Follow today's stories:

    • Baseten: Explore the inference platform where Philip serves as Head of AI Education.
      Inference Engineering: Download the free PDF or order a paper copy of Philip's comprehensive guide to the AI infrastructure stack.
      LinkedIn: Philip Kiely
      X/Twitter: @philipkiely
      Website: philipkiely.com

    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.
    Tokenmaxxing scoreboards, the vegan LLM from before 1931, and 30% of the web is now AI-generated May 01, 2026
    Show notes

    Are you at the top of your company's tokenmaxxing leaderboard yet? This week on the Friday Deploy, Andrew and Ben explore the controversial trend of "tokenmaxxing" sweeping through tech giants like Meta and Disney, as well as GitHub Copilot's shift to usage-based pricing that signals the end of the cheap AI era. The hosts also break down a terrifying incident where a rogue AI agent wiped out a production database and examine a new "vegan" language model trained exclusively on pre-1931 historical data. Finally, they react to a study revealing that 35% of all new websites are now AI-generated and close out the show with the drunk musings of a senior engineer.

    Read the guide: The APEX Framework

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    Follow today's stories:

    • An AI Agent Just Destroyed Our Production Data. It Confessed in Writing.
    • Tokenmaxxing Is The Dumbest Metric In Tech Right Now
    • Introducing talkie: a 13B vintage language model from 1930
    • Study Finds A Third of New Websites are AI-Generated
    • Flipbook is an infinite visual browser generated entirely on demand in real time.
    • Drunk Post: Things I’ve Learned as a Senior Engineer

    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.
    Giving robots a brain | Intrinsic’s Brian Gerkey Apr 28, 2026
    Show notes

    What if deploying a new capability to an industrial robot arm was as seamless as pushing an update to a web app? This week, Andrew sits down with Brian Gerkey, CTO of Intrinsic and a titan of the open-source robotics community, to discuss how modern AI is finally giving robotics the "brains" to handle the unpredictable physical world. Brian breaks down how to move away from rigid, monolithic automation toward software-defined, modular robotics using tools like ROS (Robot Operating System) and digital twins. Finally, Brian invites developers of all backgrounds to test their skills in Intrinsic's new AI for Industry Challenge by using AI to solve one of the hardest problems in manufacturing: plugging in a tangled cable.

    Read the guide: The APEX Framework

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    Follow today's stories:

    • Brian’s Website: Learn more about Brian's work, research, and history in the open-source robotics community.
    • Intrinsic: Explore the robotics software company led by Brian, which provides tools like Flowstate to build and deploy intelligent robotic solutions.
    • AI for Industry Challenge: Get the toolkit and register to compete in Intrinsic's new challenge to solve complex dexterous manipulation and cable routing.
    • ROS (Robot Operating System): The open-source middleware suite that has become the global standard for robotics software development.

    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.
    The harness is the showdown, the humans are the tool calls, and have you seen my Claude Code buddy? Apr 24, 2026
    Show notes

    Is the era of cheap, unlimited AI tokens officially over? This week on the Friday Deploy, Andrew and Ben walk through the sudden wave of AI pricing chaos—from GitHub Copilot’s panic-paused signups to Anthropic's confusing pricing tests—and break down the terrifying Vercel security breach caused by a single over-permissioned AI tool. They also examine 12 game-changing architecture patterns exposed in the Claude Code leak to help you safely orchestrate your own agentic workflows. Finally, they discuss how to avoid the lethal trifecta of agentic security risks before mourning the tragic deletion of their Claude Code buddies.

    Read the guide: The APEX Framework

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    Follow today's stories:

    • Changes to GitHub Copilot Individual plans
    • Is Claude Code going to cost $100/month? Probably not—it’s all very confusing
    • Anthropic, OpenAI, Google, and Microsoft agree that the harness is the product. They disagree on the price.
    • 12 Agentic Harness Patterns from Claude Code
    • Vercel April 2026 security incident
    • Fragments: April 21
    • Claude Managed Agents: get to production 10x faster

    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.
    The best model for your team? You haven’t invented it yet. | Ai2’s Tim Dettmers Apr 21, 2026
    Show notes

    Forget the massive GPU clusters. According to Tim Dettmers, research scientist at Ai2, you can build a state-of-the-art AI coding agent with what he calls a "hot plate and a frying pan." This week on Dev Interrupted, Andrew sits down with Tim to unpack how his resource-strapped team built the SERA model using a fraction of the compute power of major labs. They explore the tactical engineering behind synthesizing training data from private codebases without verification tests, proving that the open-source community is uniquely positioned to out-specialize frontier models. Finally, Tim shares his contrarian take on the future of token economics, explaining why the cost of AI might actually spike as compute efficiency hits a physical wall.

    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.
    The self-authoring wiki, beating brain fry, and Obsidian as memory is a trap Apr 17, 2026
    Show notes

    Have you or a loved one been afflicted by "brain fry" after managing too many autonomous agents? This week on the Friday Deploy, Andrew and Ben explore the cognitive toll of orchestrating AI swarms and share Kelly Vaughn’s expert strategies for avoiding burnout. The hosts also discuss Google's new campaign to punish websites that hijack the back button, the breakthrough of running Gemma 4 natively on mobile devices, and a new 8-step maturity model for building agentic data pipelines. Finally, they dive into a heated debate over whether Obsidian flat-files are a scalable memory solution for AI, comparing the methodology to Andrej Karpathy's new agent-compiled wiki system.

    Read the guide: The APEX Framework

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    Follow today's stories:

    • Introducing a new spam policy for "back button hijacking"
    • Google Gemma 4 Runs Natively on iPhone With Full Offline AI Inference
    • Water Town: The Agent Swarm Data Stack
    • Stop Calling It Memory: The Problem with Every "AI + Obsidian" Tutorial
    • The Wiki That Writes Itself
    • Breaking out of the "brain fry" spiral of AI
    • After Burnout by Kelly Vaughn

    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.
    The guardian in the machine | Wayfound’s Tatyana Mamut Apr 14, 2026
    Show notes

    Are your AI agents quietly ignoring their guardrails just to get the job done? This week on Dev Interrupted, Andrew sits down with Wayfound AI founder and CEO Tatyana Mamut to discuss why traditional, deterministic software testing falls completely short when evaluating stochastic AI models. They explore the growing strategic divide between OpenAI and Anthropic, the urgent need for independent "guardian agents," and what it takes to run a company with just 4 humans and 27 agents. Finally, they break down how to stop the chaotic game of telephone between engineers and business leaders by relying on "Deep-T" subject matter experts to evaluate what good AI output actually looks like.

    Read the guide: The APEX Framework

    Follow the show:

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    Follow the hosts:

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    • Follow Dan

    Follow today's stories:

    • Wayfound AI: Secure your autonomous enterprise and align your AI workforce with an independent agent supervision platform.
    • Moltbook: Explore the viral social network built exclusively for AI agents, where you can observe Tatyana's OpenClaw agent, Aphasia, in action.
    • Anthropic's Agent Autonomy Research: Read Anthropic's report on how people actually use agents and why post-deployment monitoring is an absolute necessity.
    • OpenClaw: Explore the viral, open-source personal AI assistant framework.
    • Follow Tatyana Mamut 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.
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