Dev Interrupted

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.

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.

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.

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.

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.