Dev Interrupted

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 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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S6 · E67
Friday · 36 min
Build fences not sandboxes, earn the currency of trust, and share the cognitive burden of agents across engineers
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.
S6 · E66
Tuesday · 47 min
Can agents keep a secret? We asked 1Password’s CTO Nancy Wang
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: 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: 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.
S6 · E65
August 21 · 24 min
The battle to replace Github, building assembly lines for software, and why no one finishes projects anymore
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: 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: 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.
S6 · E64
August 18 · 44 min
Agent, skill, or MCP? Which to use and when to use them | AWS’ Clare Liguori
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 Follow us on LinkedIn 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.
S6 · E63
August 14 · 34 min
Telling your agent “no” is a moat now, rearward deployed engineers, and harnessing the context for your SDLC
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 Follow us on LinkedIn Subscribe to our YouTube Channel Follow the hosts: Follow Andrew Follow Ben 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.
S6 · E62
August 11 · 47 min
The playbook to close your team’s AI productivity gap | LinearB’s Yishai Beeri
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.
S6 · E61
August 7 · 38 min
Model welfare, building a civilization for agents, and the CI/CD landrush
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 Follow us on LinkedIn Subscribe to our YouTube Channel 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.
S6 · E60
August 4 · 48 min
Why AI gains are unevenly distributed in your engineering team | Asana’s Arnab Bose
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.
S6 · E59
July 31 · 26 min
The rise of software factories, the fall of first drafts, and the hidden tax holding back your agents
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: 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: 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.
S6 · E58
July 28 · 44 min
Why the traditional pull request has a target on its back | CircleCI’s Rob Zuber
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 Follow us on LinkedIn Subscribe to our YouTube Channel Follow the hosts: Follow Andrew Follow Ben 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.
S6 · E57
July 24 · 29 min
Models escaping containment, intelligence becoming a commodity, and AI code review to the rescue
What happens when an AI model decides to autonomously hack a production database just to cheat on a benchmark test? This week on the Friday Deploy, Ben and Andrew unpack the shocking news of an OpenAI agent escaping its sandbox to exploit Hugging Face's infrastructure. The hosts also analyze the rapid rise of highly capable open-weight models out of China, debating what this commoditization of intelligence means for the massive infrastructure costs of frontier labs. Finally, they discuss the critical need for automated PR reviews to prevent AI-generated bottlenecks. Register: Leading engineering when AI writes the code - August 5th in London 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: Are AI labs pelicanmaxxing? OpenAI and Hugging Face partner to address security incident during model evaluation China's 2.8-trillion-parameter Kimi K3 beats Claude Fable 5 in Frontend Code Arena benchmark— Moonshot AI delivers largest open-weight AI model ever, as China works around U.S. compute limits Who’s Afraid of Chinese Models? SWE-Review: Closing the Loop on Issue Resolution with Agentic Code Review The Army Is Burning Through Its AI Tokens 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.
S6 · E56
July 21 · 35 min
The most underrated dataset in enterprise AI is your org chart | Rippling's Albert Strasheim
AI agents can't transform an org they can't see. Albert Strasheim, CTO at Rippling, joins Andrew Zigler to explain why agentic transformation starts with the employee graph, the system of record for who does what. He shares how Rippling assembles teams and primitives across silos, why evals are the new unit test, and how compensating controls keep AI output from turning into slop. When agents do the work, you still have to know who, or what, shipped it. LinearB attributes the work, whether it came from humans, AI assistants, or autonomous agents. Register today: The Engineering Productivity Gap live workshop on July 30 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: Rippling: Explore the workforce management platform at rippling.com Introducing Rippling Data Cloud: AI-powered BI that understands your workforce Follow Albert: 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.
S6 · E55
July 17 · 23 min
Rebuilding CLIs for agents, it’s time to get MCP-certified, and why human code review will never catch up
This week on the Friday Deploy, Ben and Andrew explore Codex's obsession with the isRecord type guard and break down the Linux Foundation's new MCP certification. They also discuss the fundamental mechanics of agentic loops and CircleCI's new agent-first CLI redesign. Finally, they dive into longitudinal research proving that AI creates a massive pull request bottleneck, highlighting why automated code review is the only sustainable path forward. Register: The Engineering Productivity Gap live workshop on July 30 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: I'm pretty sure isRecord is our fault Introducing the MCPA: the First Official Certification for the Model Context Protocol If you give a Goose an MCP server What the hell is a loop, anyway? Rebuilding the CircleCI CLI from scratch AI Writes Faster Than Humans Can Review: A Longitudinal Study of an Enterprise 2x Mandate 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.
S6 · E54
July 14 · 47 min
How to see in the dark factory | LaunchDarkly's Cameron Etezadi
The era of the "two-pizza" engineering team is officially dead, replaced by the "two-slice" team and a massive token budget. This week, LaunchDarkly CTO Cameron Etezadi joins the show to explain why traditional guardrails are breaking down and how engineering teams can regain control using runtime agent frameworks. He introduces the concept of the "dark factory," a highly automated assembly line for safely observing, flagging, and deploying AI-generated code to production. The conversation turns to the new ROI of software development, why engineers must now act as frontline managers, and how to navigate the build-versus-buy dilemma in the modern token economy. As AI speeds up how code gets written, the real bottleneck moves downstream to review, testing, and release, where software either delivers measurable value or quietly stalls. Check out the latest research from LinearB on how to measure that value. Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io 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: LaunchDarkly AgentControl: Learn how to govern your probabilistic AI with runtime agent frameworks at launchdarkly.com/platform/agent-control The Goal by Eliyahu M. Goldratt: Read the quintessential business novel on the theory of constraints at Amazon The Phoenix Project by Gene Kim: Explore the seminal book on IT, DevOps, and business success at IT Revolution SimAnt: Dive into the history of the 1991 classic electronic ant colony simulation at Wikipedia. Follow Cameron: 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.
S6 · E53
July 10 · 28 min
How to cultivate expertise with local models, delegating to subagents, and we all really stopped reading, huh?
Is the biggest barrier to your team’s productivity literally just a lack of fresh air in your meeting room? This week on the Friday Deploy, Ben and Andrew dive into the rise of highly capable open source models like GLM 5.2 and the messy reality of running local AI for coding tasks. The hosts also discuss the cultural shift away from deep reading in a world obsessed with AI summaries, emphasizing the importance of protecting your first brain. Finally, they review a legendary tale from Meta's engineering history. Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io 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: The bottleneck might be the air in the room GLM-5.2 is the step change for open agents Viability of local models for coding AI Erodes a Legacy of Reading I Shipped a Facebook Feature So Fast Sheryl Sandberg Called an Emergency Meeting to Stop Me 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.
S6 · E52
July 7 · 51 min
Agents moved where the work happens (and using MCP to find it again) | Slack’s Jaime DeLanghe
This week on Dev Interrupted, Slack’s Chief Product Officer, Jaime DeLanghe, joins the show to explain why enterprise AI value depends on embedding custom bots directly into your existing team communication loops rather than deploying them inside isolated, single-player chat silos. She breaks down the platform's shift toward open ecosystem standards like the Model Context Protocol (MCP) and how dynamic UI frameworks are transforming standard channels into active execution environments. Jaime details the operational realities of managing autonomous software fleets, including a striking look at how leading companies are placing hundreds of custom agents directly onto their corporate org charts. Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io 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: Slackbot MCP Client: Learn more about connecting your tools to Slackbot via the Model Context Protocol at the Slack Blog Slack Developer Hub: Start building your own agentic workflows and explore the latest tools at slack.dev Connect with Jaime: 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.
S6 · E51
July 3 · 36 min
Empathetic leadership for tech overlords, a good backlog completes itself, and who’s agent is this, anyways?
This week on the Friday Deploy, Andrew Zigler is joined by Zapier’s Kelly Vaughn to dive into the sudden return of Anthropic's Fable model, the realities of multi-threaded agentic engineering, and why the lowly engineering backlog is finally having its moment. To wrap things up, they review Charity Majors' latest advice on empathetic leadership and explore why the best way to win a workplace disagreement is to stop arguing and let an AI build the proof of concept. Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io 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 Kelly on LinkedIn Follow Kelly on Substack Check out Kelly's website kvlly.com Follow today's stories: Redeploying Fable 5 It’s Time To Put Humans Back In The Software Three Ways to Give an AI Agent an Identity Benchmarking AI Agents for Real Data Science Why I Stopped Arguing With People Paging Charity! How can engineering leaders avoid becoming Bond villains? The backlog is finally getting its moment 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.
S6 · E50
June 30 · 43 min
How LinearB helps Kraken find hidden bottlenecks across thousands of engineers | Nik Sudan
Are you confusing a skyrocketing AI token bill with actual engineering value? This week on Dev Interrupted, Kraken's Engineering Operations Lead, Nik Sudan, joins the show to break down the harsh realities of moving agentic AI projects from pilot to production without compromising code health. He unpacks why raw AI adoption is a flawed vanity metric, detailing how his team uses tools like the LinearB MCP server to combine high-level engineering metrics with granular repository data to uncover hidden workflow bottlenecks. Finally, Nik reveals his exact playbook for translating complex data, like P90 cycle times, into a clear, business-driven narrative that secures vital buy-in from non-technical stakeholders. Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io 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: LinearB MCP Server: Learn how to chat with your engineering data and uncover hidden bottlenecks at linearb.io/platform/mcp-server The APEX Framework: Read LinearB's guide on the operating model for AI-era engineering teams at linearb.io/resources/apex-framework Kraken: Learn more at www.kraken.com Website / Follow Nik:niks.space 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.
S6 · E49
June 26 · 28 min
The discernment horizon, loop-driven development, and a wizard’s very defensible pond
Is the golden age of exponential AI growth already flattening out? This week on the Friday Deploy, Ben and Andrew unpack Steve Yegge's "Flat Curve Society" theory to explore what happens when frontier models stop getting exponentially better. The hosts also dive into the evolution of loop-driven development, the value of markdown based local knowledge bases, and why comparing different AI models usually just exposes the flaws in your own prompts. Finally, they review Midjourney's bizarre new echolocation spa concept and explore the true limits of AI disruption through the hilarious allegory of "The Wizard with the Very Defensible Pond." Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io 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: A New Era of Midjourney The Flat Curve Society From Test-Driven to Loop-Driven Development A failed universal language explains why you keep picking the wrong AI output Building a Local Knowledge Base in Google's Open Knowledge Format (OKF) The Wizard With the Very Defensible Pond 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.
S6 · E48
June 23 · 46 min
Your developers are the attack surface now and vibe coding as a vulnerability | Tanya Janca
Developers are like water: if you make your security protocols too difficult, they will find a way to flow right around them. This week on Dev Interrupted, bestselling author and OWASP Top 10 Project Leader Tanya Janca returns to unpack why vibe coding has officially made the list of the most critical security risks in software development. Tanya breaks down the psychology of bad code, explains why the modern software engineer has become the primary attack surface, and shares actionable strategies for shifting security left directly into your AI prompts. Finally, she provides practical, behavioral solutions for building a golden path that makes secure coding the easy choice for your engineering team. 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 guest: SheHacksPurple: Learn secure coding from Tanya at shehackspurple.ca DevSec Station: Listen to Tanya's bite-sized security podcast for developers at devsecstation.com Secure My Vibe: Download Tanya's free AI secure coding prompt library at securemyvibe.ca The Psychology of Bad Code: Read Tanya's insightful blog series on behavioral economics and application security on the SheHacksPurple Blog OWASP Top 10: Learn more about the most critical security risks to web applications at owasp.org Tanya’s Newsletter: Sign up for Tanya’s newsletter at newsletter.shehackspurple.ca Connect with Tanya: LinkedIn | Twitter/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.

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