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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.

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    Copyright: © 2024 Dev Interrupted

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    Latest Episodes:
    Are developers happy yet? Unpacking the 2025 Developer Survey | Stack Overflow’s Erin Yepis Dec 02, 2025
    Show notes

    After hitting a low point last year, developer job satisfaction is officially on the rise. Erin Yepis returns to the show to unpack the 2025 Stack Overflow Developer Survey, analyzing how autonomy and compensation are driving this recovery. We also cover the happiness gap between senior and junior engineers, the surprising drop in trust for AI tools, and why vibe coding is failing to catch on with professional engineers.

    LinearB: Measure the impact of GitHub Copilot and Cursor

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    Follow today's guest(s):

    • Read the full report: 2025 Stack Overflow Developer Survey
    • Stack Overflow Blog: Read Erin’s analysis and more
    • Erin Yepis: Connect 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.
    From Kubernetes to AI maximalism | Stacklok's Craig McLuckie Nov 25, 2025
    Show notes

    When you co-create Kubernetes, you earn the right to have strong opinions on the next platform shift. This week, Ben sits down with Craig McLuckie, Co-founder & CEO of Stacklok, who is advocating for a shift in leadership mindset. He argues we need to move from asking if we can use AI to demanding to know why we can’t. Listen to hear why he believes an "AI maximalist" philosophy is the only way to survive the next cycle.

    LinearB: Measure the impact of GitHub Copilot and Cursor

    Follow the show:

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    • Leave us a Review

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    • Follow Dan

    Follow today's guest(s):

    • Connect with Craig McLuckie: LinkedIn
    • Check out Stacklok: Stacklok Website

    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.
    Speed is the moat | AMD’s Anush Elangovan Nov 18, 2025
    Show notes

    In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan, VP of AI Software at AMD, but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI.

    LinearB: Your AI productivity journey starts here

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    Follow today's guest(s):

    • Follow Anush LinkedIn | X
    • AMD ROCm Software: github.com/ROCm
    • AMD Developer Cloud
    • Learn more at: amd.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.
    How spec-driven development is changing the rules | AWS’ Amit Patel Nov 11, 2025
    Show notes

    What is "spec-driven development," and why is this structured approach the key to unlocking complex AI projects? We're joined by Amit Patel, Director of Software Development for Kiro at AWS, to explore this methodology. He explains why "vibe coding" in a chat window fails on multi-day initiatives: the AI (and the developer) loses context. Kiro solves this by turning requirements and design into a persistent, structured spec that acts as the agent's long-term memory, enabling it to maintain context and build sophisticated applications.

    Amit shares the inside story of how his team at AWS built Kiro from scratch in under a year. He reveals their virtuous feedback loop with internal developers testing nightly builds and providing real-time feedback. This rapid iteration, which included six full revs of the spec experience, was so successful that the Kiro team famously "used the tool to build the tool," turning a multi-week feature into a two-day task.

    LinearB: Your AI productivity journey starts here

    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(s):

    • Learn more and try Kiro: kiro.dev
    • Join the Kiro Community: Kiro Discord Channel

    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 CTO must now think like the CFO to survive | Sancus Ventures’ Lake Dai Nov 04, 2025
    Show notes

    AI is forcing engineering leaders to become part-CFO, part-governance expert, and part-business strategist. Are you ready for the shift?

    We're joined by Lake Dai, a globally recognized AI expert, professor at Carnegie Mellon, and founder of Sancus Ventures, to explore the new operating strategies required in an AI-first era. She explains why AI has evolved from a simple tool to a core business metric that leaders are held accountable for on earnings calls. This new reality introduces massive new compute costs—sometimes 30-50% of OpEx—forcing leaders to adopt the financial foresight of a CFO to forecast and justify spending.

    Beyond the balance sheet, Lake identifies AI governance as the biggest blind spot for most leaders today, outlining the urgent need for an AI handbook to manage unit, system, and ethical risks. This strategic shift also reshapes the engineering org itself, from managing hybrid teams of humans and agents to the need for new training environments, almost like "AI flight simulators." This episode is an essential briefing on these new complexities, all centered on Lake's most urgent advice: in a world moving this fast, the best strategy is to slow down and focus on the fundamentals.

    LinearB: Your AI productivity journey starts here

    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(s):

    • Connect with Lake on LinkedIn
    • Subscribe to Lake’s Substack: LakeD-AI Unbundled
    • Learn more about: Sancus Ventures

    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.
    How leaders win over their team’s biggest AI skeptics | Superhuman’s Loic Houssier Oct 28, 2025
    Show notes

    Forget top-down mandates. How do you foster organic AI adoption on a skeptical, high-performing engineering team? Loic Houssier, Head of Engineering at Superhuman, joins us to share how he did just that. He explains his strategy for overcoming cynicism, which involved leveraging a highly respected internal champion, the Chief Architect, to re-evaluate the tools and prove their potential was no longer just buzz.

    Discover his team's biggest, unexpected productivity gains: dramatically faster ramp-up times on new codebases and the rapid creation of valuable internal tools, rather than just raw code generation speed. Loic details Superhuman's pragmatic, high-trust approach to measurement, blending qualitative feedback with simple signals like PR labels. He explains how they fostered this adoption with a bottom-up "AI Guild," empowering engineers of all seniorities without a heavy-handed mandate. He also reveals a stunning real-world example where AI turned a potentially days-long compliance task into a 90-minute win. This episode is a practical playbook for building genuine, bottom-up AI adoption.

    Get the guide: AI productivity guide for engineering leaders

    Follow the hosts:

    • Follow Ben
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    Follow today's guest(s):

    • Connect with Loïc Houssier
    • Learn more about Superhuman: superhuman.com
    • Superhuman was acquired by Grammarly: Read about the acquisition

    Referenced in today's show:

    • Amazon brain drain finally caught up with AWS
    • Claude Skills are awesome, maybe a bigger deal than MCP
    • How to Say No
    • The Field Guide to AI Slop

    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.
    AI isn't for cutting costs, it's for multiplying impact | Super.com's Matt Culver Oct 21, 2025
    Show notes

    Is your company using AI to trim your budget, or to multiply your team's impact? We're joined by Matt Culver, a senior engineering leader at Super.com, to discuss why the common view of AI as a tool for cost-cutting is a misguided "accounting mindset" that ultimately destroys trust. He argues that leaders should instead see efficiency gains from AI as a powerful opportunity to reinvest in their teams. This conversation reframes the AI debate by urging leaders to look beyond the coding loop to improve the entire product development lifecycle—from ideation to delivery.

    Matt explains that the key to successful AI adoption is aligning new initiatives with the developer's core incentives: removing friction and enabling the creative flow state that makes their job enjoyable. He provides a human-centric approach for channeling AI's power to solve upstream problems in product planning and market research, rather than just generating more code. Learn how to use AI not as a means to an end, but as a way to empower your developers, generate more value, and build a high-trust engineering culture.

    Bring AI into your code review process with LinearB

    Follow the hosts:

    • Follow Ben
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    Follow today's guest(s):

    • Learn more about Super: Super.com
    • Connect with Matt: LinkedIn | matt@super.com

    Referenced in today's show:

    • A small number of samples can poison LLMs of any size
    • Revisiting "Intelligence Drift"
    • AI profiteering is now indistinguishable from trolling
    • The AI water issue is fake
    • HTML’s Best Kept Secret: The <output> Tag
    • Life in a World of Pervasive Immorality: The Ethics of Being Alive

    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 timelessness of vector databases | Pinecone’s Ram Sriharsha Oct 14, 2025
    Show notes

    With massive context windows and new agent frameworks, do vector databases still matter? Ram Sriharsha, CTO at Pinecone, joins the conversation to make the definitive case that they're more critical than ever. He explains that at the core of all AI is search, and externalizing this function is non-negotiable for security, auditability, and control.

    Ram offers a clear starting path for engineering leaders: begin with simple Retrieval-Augmented Generation (RAG) applications, but immediately implement a robust evaluation framework to manage hallucinations and ensure quality. He shares his perspective on the skills that matter most now, arguing that curiosity and the rise of the generalist engineer are critical in an AI-powered world. This episode is a guide to building the AI stack from the ground up, from using AI as a "good junior engineer" for testing to cultivating the engineering mindset of tomorrow.

    Bring AI into your code review process with LinearB

    Follow the hosts:

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    Follow today's guest(s):

    • Learn more about Pinecone: pinecone.io
    • Pinecone Tutorials & Blog: Explore guides on RAG, vector databases, and more
    • Connect with Ram Sriharsha: LinkedIn

    Referenced in today's show:

    • Your New 500K AI Coworkers Just Arrived
    • How I influence tech company politics as a staff software engineer
    • Coinbase says 40% of code written by AI, mostly tests and Typescript
    • Celebrating 1 Trillion Web Pages Archived

    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.
    Is Agentforce the future of enterprise vibe coding? | Salesforce’s Dan Fernandez Oct 07, 2025
    Show notes

    Vibe coding is a developer's dream, but in the enterprise, it can be a nightmare of risk and shadow IT. So how do you saddle the 'wild horse' of modern AI development? Dan Fernandez, VP of Product Management, Developer Services at Salesforce, joins the conversation to share the answer: a new category his team is pioneering called Enterprise Vibe Coding. This discussion reveals how to move beyond flashy greenfield AI demos and build for the reality of most enterprises, where the goal is to safely reuse existing systems, not reinvent them from scratch.

    Dan breaks down the specific guardrails Salesforce has built, from sandboxed environments for safe testing to automated "quality gates" that act as a bouncer for both human and AI-generated code. He shares the powerful lesson that building customer trust through policies like zero data retention is more important than any single feature. He explains why the real work of enterprise AI is more like secure "plumbing"—connecting the hardened systems you already have. This is an essential guide for any leader looking to apply the speed of AI to the complex reality of enterprise software.

    Get the guide: AI productivity guide for engineering leaders

    Follow the hosts:

    • Follow Ben
    • Follow Andrew

    Follow today's guest(s):

    • Unleash Your Innovation with Agentforce Vibes: Vibe Coding for the Enterprise
    • Learn more about Salesforce for Developers: developer.salesforce.com
    • Salesforce Extensions for VS Code: VS Code Marketplace
    • Salesforce Code Builder: Learn more about the zero-install IDE
    • Connect with Dan Fernandez: LinkedIn

    Referenced in today's show:

    • Future of tech leadership survey report 2025 - Riviera Partners
    • Stop Avoiding Politics – Terrible Software
    • Agentic Commerce
    • I built ChatGPT with Minecraft redstone!

    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.
    Building the internet’s next infrastructure layer | Cloudflare's Brendan Irvine-Broque Sep 30, 2025
    Show notes

    The Model Context Protocol (MCP) is evolving beyond local developer experiments and into the secure, remote infrastructure that will power the next generation of the internet. Brendan Irvine-Broque, Director of Product at Cloudflare, joins us to share a roadmap for this future. He explains how Cloudflare's "customer zero" philosophy of dogfooding their own tools provides a unique perspective on what it takes to scale MCP for production.

    Brendan makes the case for observability as the ideal starting point for enterprises and lays out the vision for MCP's ultimate destination: a universal protocol for agent-to-agent communication. The conversation explores how remote servers can create a decentralized layer for security and user memory, and what the exciting development of MCP UI means for the future of chat-based applications. This is an essential look at the next wave of agentic systems and the infrastructure required to build it.

    Check out:

    • Watch Closing the AI gap: Surpassing executive expectations for AI productivity

    Follow the hosts:

    • Follow Ben
    • Follow Andrew

    Follow today's guest(s):

    • Learn more about Cloudflare's work with AI: agents.cloudflare.com
    • Read the latest from Cloudflare: The Cloudflare Blog
    • Cloudflare's Unique Primitives Mentioned: Durable Objects
    • The MCP UI Project: MCP UI on GitHub (Project by Ido Salomon)
    • Observability Tools Mentioned: Datadog | Honeycomb
    • AI Tools Mentioned: Block/Square's "Goose" | Cursor
    • Connect with Brendan Irvine-Broque: X @irvinebroque | LinkedIn

    Referenced in today's show:

    • AI Has Won: Google’s DORA Study Shows Universal Dev Adoption
    • The Theatre of Pull Requests and Code Review
    • AI isn't replacing radiologists
    • Is it time to look for a new job? And how do I start?

    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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