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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:
    Build fences not sandboxes, earn the currency of trust, and share the cognitive burden of agents across engineers Aug 28, 2026
    Show notes

    This week on the Friday Deploy, Ben and Andrew evaluate the strange arrival of Ox Alpha and debate the security risks of black-box AI tools. They also explore why engineering trust is more critical than ever, revisit the controversial lines of code metric in the age of AI generation, and explain why autonomous agents need structured fences rather than restrictive sandboxes. Finally, they break down the multi-agent graph architectures powering modern software factories and share actionable advice for reaching staff engineer status by driving cross-team AI adoption.

    Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026

    Follow the show:

    • Subscribe to our Substack
    • Follow us on LinkedIn
    • Subscribe to our YouTube Channel

    Follow the hosts:

    • Follow Andrew
    • Follow Ben
    • Follow Dan

    Follow today's stories:

    • Ox alpha
    • Fundamentals of Trust in Engineering
    • Conceptual integrity and counting lines of code
    • Graph Engineering: The Complete Guide to Building Multi-Agent AI Systems
    • Fences, not Sandboxes
    • How to Grow From Senior to Staff Engineer in the AI Era

    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.
    Can agents keep a secret? We asked 1Password’s CTO Nancy Wang Aug 25, 2026
    Show notes

    What happens when your autonomous coding agents need to navigate your core infrastructure? Do you hand them the keys and hope for the best? (gulp!) This week on Dev Interrupted, 1Password CTO Nancy Wang teaches the golden path for agentic security: just-in-time secrets that grants AI "access without custody." She also shares her CTO playbook for measuring true agentic ROI beyond raw PR volume, explains why 1Password has officially replaced traditional coding interviews with agent builder tests, and confesses she’s shipping PRs again with her own fleet of agents between meetings. Like many CTOs we’ve had on the show, Nancy reminds us that code is cheap now, and review is what’s expensive now. We get into tactics for addressing that bottleneck.

    Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026

    Register: Dev Interrupted Presents: The Software Factory Roundtable

    Follow the show:

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    • Follow us on LinkedIn
    • Subscribe to our YouTube Channel

    Follow the hosts:

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    • Follow Dan

    Follow today's guest:

    • 1Password: Explore the enterprise password and identity platform at 1password.com
    • 1Password for Developers: Dive into the new developer tooling, credential brokering, and secure AI workflows at 1password.dev
    • Oracle Red Bull Racing: Read more about the F1 team's systems engineering at redbullracing.com
    • Connect with Nancy: 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.
    The battle to replace Github, building assembly lines for software, and why no one finishes projects anymore Aug 21, 2026
    Show notes

    When an AI can write 90 percent of a codebase in minutes, why is finishing the project harder than ever? This week on the Friday Deploy, Ben and Andrew explore the recent string of GitHub outages and why the surge in autonomous agents is forcing teams to rethink where they host their code. They once again dive into the emerging trend of software factories, breaking down how engineering leaders are turning chaotic AI pull requests into streamlined assembly lines. Finally, they share tactical advice for "landing the plane" and pushing past scope creep to deliver the grueling final fraction of any major initiative.

    Register: Dev Interrupted Presents: The Software Factory Roundtable

    Follow the show:

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    Follow the hosts:

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    Follow today's stories:

    • Incident Report for GitHub
    • Cursor launches Origin code hosting platform as GitHub outage exposes opening in AI coding race
    • Ask HN: Alternatives to GitHub
    • Everyone building a software factory wants the same proof
    • Introducing Warp Factories
    • Landing the plane

    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.
    Agent, skill, or MCP? Which to use and when to use them | AWS’ Clare Liguori Aug 18, 2026
    Show notes

    Every engineering team wants to build its own custom AI agent, but what if all your organization needs is a standardized skill or a stateless MCP server? This week on Dev Interrupted, Andrew sits down with AWS Senior Principal Engineer Clare Liguori to untangle the ecosystem of modern agentic architecture. They work through how a team decides which AI building blocks to own, and how to get that reach without inheriting a maintenance burden. Clare shares her perspective on the simplified MCP 7.28 spec and why stripping away heavy custom scaffolding is how enterprise AI scales.

    That same shift is what makes MCP a gamechanger for LinearB customers, bringing your SDLC context layer, git, project management, and software delivery, into any agentic surface. What could your agents achieve if they can query your SDLC?

    Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026

    Register: Dev Interrupted Presents: The Software Factory Roundtable

    Follow the show:

    • Subscribe to our Substack
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    • Subscribe to our YouTube Channel

    Follow the hosts:

    • Follow Andrew
    • Follow Ben
    • Follow Dan

    Follow today's guest:

    • Strands Agents SDK: Explore the open-source framework for building model-driven agents at strandsagents.com
    • MCP 7.28): Dive into the new stateless specification at modelcontextprotocol.io
    • Follow Clare: LinkedIn | X

    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.
    Telling your agent “no” is a moat now, rearward deployed engineers, and harnessing the context for your SDLC Aug 14, 2026
    Show notes

    This week on the Friday Deploy, Ben and Andrew explore Uber's strategy of "rearward deploying" engineers to spread agentic AI workflows into departments like legal and marketing. They also dive into Anthropic making Claude Code's Auto Mode the default, Meta's new on-device Muse Glimmer model, and Tim O'Reilly's case for an open source AI ecosystem. Finally, they break down context engineering for the SDLC and examine new research showing why generalized agent skills outperform personalized ones.

    Register: Dev Interrupted Presents: The Software Factory Roundtable

    Follow the show:

    • Subscribe to our Substack
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    Follow the hosts:

    • Follow Andrew
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    • Follow Dan

    Follow today's stories:

    • After starting the tokenmaxxing panic, Uber's CTO is back with a very different AI story
    • Auto mode is now the default in Claude Code for Pro, Max, and Team plans
    • Introducing Muse Glimmer: An Open Agentic Model That Runs on Your Device
    • Why Open Source Matters for AI
    • Your SDLC is your context engineering
    • Do personalized skills help coding agents? An empirical study of developer interaction histories

    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 playbook to close your team’s AI productivity gap | LinearB’s Yishai Beeri Aug 11, 2026
    Show notes

    This week, LinearB CTO Yishai Beeri joins the show to unpack fresh mid-year benchmark data revealing a widening productivity gap between elite engineering teams and the rest of the industry. The conversation explores why tracking pure AI adoption is a trap, detailing how leaders must shift focus to measuring true leverage through metrics like PR yield rate and cost per PR. Finally, they break down why fully autonomous agentic workflows are currently bottlenecking at the review stage and how to establish human ownership to prove real ROI to your finance team.

    Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026

    Register: Dev Interrupted Presents: The Software Factory Roundtable

    Follow the show:

    • Subscribe to our Substack
    • Follow us on LinkedIn
    • Subscribe to our YouTube Channel

    Follow the hosts:

    • Follow Andrew
    • Follow Ben
    • Follow Dan

    Follow today's guest:

    • The AI Productivity Gap Report: Read the full report and explore the 2026 data from 2.7 million PRs
    • LinearB: Learn how to measure AI leverage and optimize your engineering workflows at linearb.io
    • Connect with Yishai: 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.
    Model welfare, building a civilization for agents, and the CI/CD landrush Aug 07, 2026
    Show notes

    This week on the Friday Deploy, Ben and Andrew break down Steve Yegge's radical approach to orchestrating agentic civilizations and pushing code straight to main without traditional CI/CD. The conversation also highlights the art of constructing effective AI harnesses by balancing context complexity with cognitive locality and the Socratic method. Finally, they dive into the math community's existential crisis as AI accelerates the frontier of knowledge far beyond the speed of human peer review.

    Register: Dev Interrupted Presents: The Software Factory Roundtable

    Follow the show:

    • Subscribe to our Substack
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    Follow the hosts:

    • Follow Andrew
    • Follow Ben
    • Follow Dan

    Follow today's stories:

    • Microsoft Tells Engineers ‘Tokenmaxxing Is Not What We Are Optimizing For’
    • The Shape of Things to Come
    • The Shape of Things to Come - Part 2: Model Welfare for Agentic Engineers
    • How AI helped Socrates to help me actually understand myself
    • The Month AI Conquered Math: The Full Story
    • How to Build an Effective Agent Harness
    • Making AI Visible, Not Vanished: How AI Policies Reshape Developer Experience on GitHub

    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 gains are unevenly distributed in your engineering team | Asana’s Arnab Bose Aug 04, 2026
    Show notes

    Why are 75% of knowledge workers using AI, yet only 5% of companies seeing meaningful productivity gains? This week on Dev Interrupted, Asana Chief Product Officer Arnab Bose explains why scaling enterprise AI means shifting from isolated chatbots to fully integrated agentic work management. He breaks down how Asana is turning AI from a tool into a transparent digital teammate with shared memory, full audit trails, and role-based access controls. The conversation closes on Asana's acquisition of Stack AI, the upcoming Command product for R&D teams, and which metrics prove AI ROI.

    Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026

    Follow the show:

    • Subscribe to our Substack
    • Follow us on LinkedIn
    • Subscribe to our YouTube Channel

    Follow the hosts:

    • Follow Andrew
    • Follow Ben
    • Follow Dan

    Follow today's guest:

    • Asana: Explore the work management platform and learn more about Agentic Work Management at asana.com
    • Stack AI: Read about Asana's acquisition of the no-code AI workflow automation platform on the Asana Blog
    • Connect with Arnab: 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.
    The rise of software factories, the fall of first drafts, and the hidden tax holding back your agents Jul 31, 2026
    Show notes

    This week on the Friday Deploy, Ben and Andrew debate the controversial rise of dark software factories, exploring whether centralizing agentic compute creates engineering nirvana or unmaintainable code rot. The hosts also discuss the importance of versioning your work to protect your original ideas from AI's tendency to average out creativity. Finally, they tackle the "orchestrator's tax," explaining why establishing cognitive locality matters far more than assigning cute personas to your sub-agents.

    Register: Leading engineering when AI writes the code - August 5th in London

    Follow the show:

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    Follow the hosts:

    • Follow Andrew
    • Follow Ben
    • Follow Dan

    Follow today's stories:

    • Why Software Factories Fail
    • A guide to cloud software factories for engineering leaders
    • You just hired a million bad employees.
    • An AI that only sees the latest version will never protect your original idea
    • The Orchestrator's Tax

    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 the traditional pull request has a target on its back | CircleCI’s Rob Zuber Jul 28, 2026
    Show notes

    The traditional pull request was built for human eyes, but in an era of autonomous AI agents, it officially has a massive target on its back. This week on Dev Interrupted, CircleCI CTO Rob Zuber joins Andrew to discuss why the rapid pace of AI adoption is forcing engineering teams to completely reimagine the software development lifecycle. They explore the shift toward an accountability-oriented model for code review, how CI/CD validation is moving directly into the local agent loop, and the very real financial dangers of unchecked token budgets. Finally, Rob shares his playbook for leading organizations through this chaotic transition without burning out your developers (or your token budget). We recommend pairing his strategy with something like AI code review to find the floor for your newly-agentic engineering org’s output.

    Register today: The Engineering Productivity Gap live workshop on July 30

    Follow the show:

    • Subscribe to our Substack
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    • Subscribe to our YouTube Channel

    Follow the hosts:

    • Follow Andrew
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    • Follow Dan

    Follow today's guest:

    • CircleCI: Explore the leading continuous integration and delivery platform at circleci.com
    • The Confident Commit: Subscribe to Rob's newsletter and podcast for data-backed software delivery insights on CircleCI's website
    • The Confident Commit Podcast: Listen to Rob’s podcast
    • State of Software Delivery: Read CircleCI's annual report analyzing millions of CI workflows to benchmark your team's performance
    • Gather.dev: Apply to join the curated, invite-only community for senior engineering leaders at gather.dev
    • Follow Rob: 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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