Dev Interrupted

When the World Cup arrived, Deutsche Telekom filled a control room with eight big screens of dashboards following customers from booking to payment. Head of observability Felix Mohnke and consultancy team lead Neha Kumar are in the middle of moving 600 applications onto a single observability stack, and they had three months to build dashboards that usually take four. Grafana's AI assistant got them to an 80% version in the first half hour. This week on Dev Interrupted, they join Andrew to walk through a mid-tournament spike in payment outages, traced within minutes to a downed external credit card provider before customers ever noticed.
Save your seat: Deliver outcomes when human attention can't keep up
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Reliability at World Cup scale: ObservabilityCON session Felix and Neha’s talk on how Deutsche Telekom IT kept the World Cup running with Grafana Assistant.
Grafana Assistant: Grafana Assistant everywhere The AI assistant the team used to build the World Cup dashboards and narrow down the payment outage.
Connect with Felix: LinkedIn | Connect with Neha: LinkedIn
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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.

Capital One SVP Abhijit Bose, who leads the company’s enterprise AI and ML platforms, has spent more than 20 years in AI and ML, and his answer is to make governance the platform’s job instead of the developer’s. This week on Dev Interrupted, he joins Dan Lines for LinearB’s AI Enablement Series to walk through how every harness change at Capital One now runs through evals that measure token cost, latency and quality before it reaches users. Abhijit also breaks down MACAW, the bank’s multi-agent framework behind Chat Concierge.
Save your seat: Deliver outcomes when human attention can't keep up
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Chat Concierge: Driving the future of car buying with agentic AI. The multiagent car-buying assistant that runs on Capital One’s GenAI platform.
MACAW: Capital One at EMNLP 2025. Capital One’s introduction to MACAW, the multi-agent framework behind Chat Concierge.
VulnHunter: Announcing VulnHunter. The open-source agentic code security tool Abhijit points to when talking about AI and cybersecurity.
Connect with Abhijit: LinkedIn
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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.
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, Dev Interrupted takes a field trip all the way down to the GPU. Leading the way is Together AI’s VP of Kernels Dan Fu, a co-author of FlashAttention who also runs a research lab as an assistant professor at UC San Diego. He joins Andrew to talk about how ideas now move from the lab into production models within months, and what it means to build a cloud for AI. Dan argues that AI is an accelerant for individual engineers, and that the more domain expertise they bring, the faster it lets them go. They close the conversation on how DRIs and managers keep track of ownership and AI spend when your star players get even faster 
Save your seat: Deliver outcomes when human attention can't keep up
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OpenWALDO: The open source AI project Greg launched, built on open weights, artifacts, licenses, data and origins
OpenWALDO Slack: Join the community Greg invites listeners into
OpenWALDO on GitHub: The project’s code and tooling
CIQ: Greg’s company, where he is founder and CEO
Rocky Linux: The enterprise Linux distribution whose community Greg set up
Why Open Source Matters for AI: Tim O’Reilly’s piece on open weights, protocols and the architecture of participation
Connect with Greg: 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.
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.

Most companies control the prompts they send to a model, but not what went into it. That’s the gap CIQ founder and CEO Gregory Kurtzer, who set up the community that built Rocky Linux, wants an AI bill of materials to close. This week on Dev Interrupted, he joins Andrew to make the case for OpenWALDO, a community-backed corpus of AI training data built on open weights, artifacts, licenses, data and origins. Greg explains why open weights alone don’t make a model open source, and why a model trained on copyleft code raises a licensing question nobody has litigated. They close the conversation on why the community side of open source matters more than ever now that AI lets more people contribute.
Save your seat: What your software factory is doing to your engineers
Follow the show:
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OpenWALDO: The open source AI project Greg launched, built on open weights, artifacts, licenses, data and origins
OpenWALDO Slack: Join the community Greg invites listeners into
OpenWALDO on GitHub: The project’s code and tooling
CIQ: Greg’s company, where he is founder and CEO
Rocky Linux: The enterprise Linux distribution whose community Greg set up
Why Open Source Matters for AI: Tim O’Reilly’s piece on open weights, protocols and the architecture of participation
Connect with Greg: 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.

Agents made each engineer faster, but the handoffs between them still run through copy and paste. OpenClaw Foundation chief architect Vincent Koc ran into that friction on his own team, and their answer was to move the engineering work of building OpenClaw inside OpenClaw itself. This week on Dev Interrupted, he joins Andrew to walk through the multiplayer setup behind OpenClaw 2.0, where teammates and their agents can jump into each other’s sessions on shared servers and pick up work when someone goes to sleep. Vincent explains how tools like Git Crawl keep their agents aware of everything happening across the repo, and why the piece that’s still missing is the why behind a decision. 
Save your seat: What your software factory is doing to your engineers
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OpenClaw Foundation: openclaw.org The foundation behind OpenClaw, which Vincent serves as chief architect.
OpenClaw: openclaw.ai The open source personal AI assistant at the center of the conversation.
OpenClaw 2.0, Accidentally: openclaw.ai/blog/openclaw-2-accidentally The release post for OpenClaw 2.0 and its multiplayer features.
OpenClaw on GitHub: github.com/openclaw The org’s open source repos, all under MIT.
OpenClaw security: openclaw.ai/security The project’s security page, which Vincent points to for the full record of reported vulnerabilities.
Git Crawl: github.com/openclaw/gitcrawl The team’s GitHub issue and pull request crawler that keeps their agents aware of work across the repo.
Crabbox: github.com/openclaw/crabbox The testing infrastructure the team built when nothing out there fit.
Tideglass: github.com/vincentkoc/tideglass Vincent’s side project for inferring intent and preference profiles for agents.
Beads: github.com/steveyegge/beads Steve Yegge’s git-backed issue tracker for coding agents.
Wikinomics: dontapscott.com/books/wikinomics The book on mass collaboration that Vincent keeps coming back to.
Connect with Vincent: 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.