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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:
    Reading model benchmarks like a pro, Mythos is looming, and Claude talk caveman, save big token Apr 10, 2026
    Show notes

    Is the secret to slashing your token costs by 65% forcing your LLM to speak like a caveman? This week on the Friday Deploy, Andrew and Ben test out a hilarious new Claude plugin that reduces AI output to primitive shorthand before diving into Anthropic's $100 million push to win the cybersecurity arms race with Project Glasswing. The hosts also unpack the sudden release of four game-changing open-source models—including Gemma 4 and Holo3—and explain why modern AI benchmarks are proving that humans still have a cognitive edge. Finally, they wrap up by sharing how they deploy custom background agents to hack their way through expo floors at industry conferences.

    Read the guide: The APEX Framework

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    Follow today's stories:

    • Project Glasswing
    • Tool School: Benchmarking 101 (How To Read AI Model Report Cards)
    • Four Open Models Just Proved You Can Own Frontier AI at Every Scale
    • JuliusBrussee/caveman

    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.
    Stop measuring AI adoption. Start measuring AI impact. | LinearB’s APEX framework Apr 07, 2026
    Show notes

    Are your AI coding tools actually making your team faster, or are they just creating downstream chaos? This week, Ben Lloyd Pearson and Dan Lines introduce APEX, LinearB’s new engineering leadership framework built explicitly to measure and manage software delivery in the AI era. Moving beyond traditional frameworks like DORA and SPACE, APEX balances AI Leverage, Predictability, Efficiency, and Developer experience to ensure upstream code generation translates into actual business value. Tune in to learn how to break past the illusion of coding speed, prevent AI slop from clogging your review pipelines, and discover which pillar of the APEX framework your team needs to tackle first.

    Download the APEX Framework

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    • LinearB APEX Framework: Explore the full operating model, visual breakdowns, and the guide to operationalizing the metrics.
    • Workflow Automation: Learn about LinearB's gitStream (policy-as-code for PR automation) and WorkerB (developer bot for minimizing idle time).

    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.
    Virtual pets in your terminal, ads in your pull request, & no more CSS in your browser? Apr 03, 2026
    Show notes

    Are advertisements not-so-secretly infiltrating your code reviews? This week on the Friday Deploy, Andrew and Ben break down the controversy over GitHub Copilot injecting promotional tips into pull requests and unpack the massive Anthropic code leak that exposed Claude Code's hidden features. The hosts also explore Shopify's strategy for cutting AI inference costs by 75x using smaller, self-hosted models. Finally, they discuss the game-changing Pretext rendering library, the cyclical hype of "dead" tech trends, and how agent-wielding "vibe maintainers" are rewriting the rules of open-source software.

    Read the guide: The APEX Framework

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    Follow today's stories:

    • GitHub backs down, kills Copilot pull-request ads after backlash
    • Software's Next Epoch: Our Investment in R.I.P. grep
    • Anthropic accidentally leaked Claude Code's entire source. Here's what 512,000 lines reveal
    • Shopify Cuts Inference Cost by 75x Using Qwen 3 for Merchant Data Extraction
    • Pretext Does What CSS Can't — Measuring Text Before the DOM Even Exists
    • Vibe Maintainer

    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.
    Retrofit or reimagine? Developer environments for humans and agents | Ona’s Matt Boyle Mar 31, 2026
    Show notes

    AI agents have officially arrived on an internet that simply wasn't built for them. So how do we build the infrastructure to keep them safe, productive, and contained? This week, Andrew sits down with Matt Boyle, Head of Product, Design and Engineering at Ona (formerly Gitpod), to discuss evolving cloud development environments into secure, enterprise-grade "agent jails." They explore the mechanics of Project Veto’s kernel-level security, the slow death of the traditional IDE, and how the rise of AI is transforming developers into full-stack, T-shaped product owners. Finally, Matt shares his vision for the future of the SDLC, detailing how organizations can safely balance strict compliance with the bleeding edge of autonomous software factories.

    Download the APEX Framework

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    Follow today's guest:

    • Learn more about Ona (formerly Gitpod) and read their latest blog announcements, including Veto.
    • Connect with Matt on LinkedIn | X (Twitter)

    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 T-shaped leader, Disney can’t catch a break, and will you trust Auto mode? Mar 27, 2026
    Show notes

    Is OpenAI killing off its viral video generator to pivot toward the enterprise market? This week on the Friday Deploy, Andrew and Ben banter over the demise of Sora and examine Anthropic's new Auto Mode safety controls. The duo then explores a major New York Times piece that proves the conversation about the end of traditional computer programming is officially going mainstream. Finally, they cover Microsoft's attempt to win back frustrated Windows 11 users and break down the POST leadership framework to help you build a more balanced engineering team.

    Read the guide: The APEX Framework

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    Follow the hosts:

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    Follow today's stories:

    • OpenAI pulls the plug on Sora video app, Disney deal
    • Auto mode for Claude Code
    • Coding After Coders: The End of Computer Programming as We Know It
    • Microsoft's "Fix" for Windows 11: Flowers After the Beating
    • POST: People, Operations, Strategy, Technology

    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.
    Why AI-assisted PRs merge at half the rate of human code | LinearB’s 2026 Benchmarks Mar 24, 2026
    Show notes

    Over 88% of developers use AI regularly, but AI-assisted pull requests merge at less than half the rate of human-authored code. In this episode, Dan Lines and Ben Lloyd Pearson break down the findings from LinearB's 2026 Engineering Benchmarks Report to reveal how AI is fundamentally reshaping software delivery. They explore the stark behavioral differences between unassisted, AI-assisted, and fully agentic pull requests, highlighting how AI accelerates code generation but exposes massive bottlenecks in the review process. Tune in to learn why organizations must prioritize AI readiness, data quality, and context engineering before they can translate raw AI adoption into actual business impact.

    LinearB 2026 Engineering Benchmarks Report: Download the full 48-page report to see where your metrics stand.

    Follow the show:

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    • Leave us a Review

    Follow the hosts:

    • Follow Andrew
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    • Follow Dan

    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.
    Sloppypasta culprits, unpacking MCP’s spotlight, and Anthropic wants your agents to work the graveyard shift Mar 20, 2026
    Show notes

    Are rolling token blackouts and late-night AI coding shifts about to become the new normal for developers? This week on the Friday Deploy, Andrew and Ben explore the shifting economics of AI compute before debating whether the Model Context Protocol (MCP) was fundamentally overhyped. The hosts also dive into "context anchoring" to prevent model compaction during long coding sessions, why optimizing the wrong bottlenecks makes AI an amplifier for bad processes, and the nostalgic resurgence of the decentralized "small web." Finally, they break down the new rules of workplace AI etiquette to help you avoid serving your coworkers "sloppy pasta" disguised as real work.

    Read the guide: The APEX Framework

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    Follow today's stories:

    • MCP is Dead; Long Live MCP!
    • Context Anchoring
    • If you thought the speed of writing code was your problem - you have bigger problems
    • The “small web” is bigger than you might think
    • Stop Sloppypasta

    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.
    Many tokens make all bugs shallow & open source’s new maintainers | Chainguard's Dan Lorenc Mar 17, 2026
    Show notes

    Autonomous agents are pushing deployment speeds to the absolute limit, but is our security infrastructure ready for the consequences? Andrew sits down with Chainguard CEO Dan Lorenc to discuss the severe supply chain risks of this new frontier and what it takes to safely transition to an agent-first engineering model. They explore how engineering teams can safely accelerate deployments by turning restrictive guardrails into frictionless "guide rails" for their AI agents. Finally, the conversation unpacks the future of open source, detailing how AI might either spam projects into dormancy or solve the ecosystem's long-standing sustainability crisis by stepping in as automated, full-time maintainers.

    Follow the show:

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    Follow today's guest:

    • Chainguard: Learn more about how Dan and his team are securing the software supply chain.
    • Dan Lorenc on LinkedIn: Connect with Dan to follow his predictions and insights.
    • Gastown, and where software is going: Read Dan's article exploring the Brownian Ratchet principle, multi-Claude, and eventual determinism.
    • EmeritOSS: Explore Chainguard's initiative to provide sustainable stewardship for mature, end-of-life open-source projects.
    • Daniel Stenberg's Blog: Insights from the Curl creator regarding the influx of AI-generated vulnerability reports.
    • Chainguard Assemble: Catch up on the latest announcements from Chainguard's user conference.

    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.
    Inference is the new 401k matching and what we’re learning from AI-related outages Mar 13, 2026
    Show notes

    Are we heading toward a bizarre future where your engineering salary is paid in AI compute tokens instead of cash? Andrew and Ben tackle the latest tech industry shakeups, starting with Meta's acquisition of Moltbook and the controversial idea of making inference limits a core employee benefit. They also break down Charlie Guo's harness engineering playbook, the growing pains behind recent AWS AI-driven outages, and the toxic pressure to constantly run dozens of autonomous agents. Finally, they wrap up by sharing their own agentic weekend projects and debating the catastrophic risks of vibe-coding your laptop's file permissions.

    Follow the show:

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    Follow the hosts:

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    Follow today's stories:

    • Silicon Valley is buzzing about this new idea: AI compute as compensation
    • The Emerging "Harness Engineering" Playbook
    • Meta acquired Moltbook, the AI agent social network that went viral because of fake posts
    • “A spate of outages, including incidents tied to the use of AI coding tools”, right on schedule
    • Every minute you aren't running 69 agents, you are falling behind

    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.
    Your engineers need an AI control plane, not more tools | Guild.ai’s James Everingham Mar 10, 2026
    Show notes

    Right now, a lot of engineering leaders are stuck in the same loop: rolling out AI tools only to watch their teams quietly drift back to business as usual. Andrew sits down with James Everingham, former Head of Dev Infra at Meta and current CEO of guild.ai, to discuss how to break this cycle by treating AI not just as an autocomplete tool, but as a "sentient fabric" woven directly into your software development lifecycle. They explore how replacing top-down AI mandates with impossible business challenges—like eliminating code freezes entirely—empowers developers to organically build game-changing tools like conversational onboarding agents. Finally, James breaks down why 2026 is the year of the agent and how his team is building the enterprise infrastructure needed to safely govern, audit, and scale collaborative agent workflows.

    Follow the show:

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    • Leave us a Review

    Follow the hosts:

    • Follow Andrew
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    • Follow Dan

    Follow today's guest:

    • Learn more about Guild: guild.ai
    • Follow James Everingham: 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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