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Starbucks vs. The Real World: Spilled Milk, LiDAR, and the AI Inventory Rollback
This episode explores the spectacular failure of an AI-powered inventory management system deployed across Starbucks locations, which struggled to differentiate between sold products and those lost…
Poison in the Cache: Dissecting the "Mini Shai-Hulud" Worm at TanStack
This episode details the "Mini Shai-Hulud" supply chain compromise that affected TanStack, explaining how a sophisticated social engineering campaign led to a worm-like spread across the npm…
The Algorithmic Guillotine: Dissecting Railway’s 8-Hour GCP Outage
This episode explores Railway's complete service suspension on Google Cloud Platform, caused by an automated security system detecting unusual resource provisioning from a compromised employee…
The RAG Delusion: What 9 Kubernetes Bugs Reveal About AI Coding Agents
This episode explores the limitations of Retrieval Augmented Generation (RAG) in AI coding agents, particularly when tasked with fixing complex, real-world Kubernetes bugs. It reveals that despite…
Debug Log: The Million-Goroutine Memory Leak and the Case for "Boring" Auth
This episode explores a critical Kubernetes authentication gateway's failure, caused by an accumulation of a million dormant goroutines. It details how client-side context cancellations were not…
Chasing the Cart: Why Pinterest Ripped Out Its Sequential Ad Architecture
This episode explores the challenges of traditional multi-stage ad serving architectures, where optimizing for intermediate metrics like clicks can inadvertently sabotage ultimate conversion goals by…
The Blast Radius of Agentic AI: Why "Five Nines" is a Relic
This episode explores why the traditional "five nines" reliability metric is fundamentally unsuitable for agentic AI systems. It explains that unlike traditional systems, agentic AI can be "up" but…
Phantom in the Page Cache: Unpacking the 10-Line "Copy Fail" Exploit
This episode discusses a 9-year-old, 10-line "Copy Fail" exploit found in the Linux kernel's page cache, highlighting the paradox of such a critical yet subtle vulnerability evading detection for so…
Automating the Autopsy: The Promise and Peril of AI-Generated Postmortems
This episode explores the intriguing concept of using AI to write incident postmortems, highlighting its potential for speed, consistency, and automating data synthesis from vast sources. However, it…
The Harness and the Lobotomy: Unpacking Anthropic’s 47-Day Degradation
This episode explores a 47-day incident where Anthropic's Claude Code appeared to degrade, revealing that the core AI model was intact but its 'harness'—the surrounding infrastructure and system…
Scaling for Ghosts: 7 Microservices, 47 Users, and the Trap of Resume-Driven Development
This episode explores the phenomenon of "Resume-Driven Development," where an engineer at a pre-seed startup built an enterprise-grade distributed system designed for 100,000 users, despite only…
The 3,000 Incident Postmortem: Why Caches Are Actually the Enemy
This episode explores Marc Brooker's controversial claim that caching, often a default scaling solution, is a major cause of catastrophic "metastable" system failures. It delves into the importance…
The Interface Tax: Is Clean Architecture a Scam?
This episode critically explores how dogmatic adherence to "Clean Architecture" principles, such as excessive layering and abstraction, can inadvertently hinder development velocity. It introduces…
From Vibe-Coded to Enterprise: Handing the Pager to Claude
This episode explores Incident.io's new remote Model Context Protocol (MCP) server, which enables AI assistants like Claude to directly access and interact with live production incident data.…
The Microservice Hangover: Investigating an 83% Cost Cut by Returning to a "Majestic Monolith"
This episode discusses a team's successful transition from microservices back to a monolithic architecture, resulting in an 83% reduction in infrastructure costs and a 61% reduction in codebase. It…
The Trojan Horse in the AI Stack: How One Tiny Library Exposed the Keys to the Kingdom
This episode explores a critical supply chain attack where malicious code was embedded in legitimate updates of the popular LiteLLM library on PyPI, causing system meltdowns and stealing sensitive…
The Slow-Motion Failure: Deconstructing the March 2026 Claude Outages
This episode discusses a March 2026 outage of the Claude AI platform, revealing that the failure wasn't in the AI models themselves but in the "control plane" — critical non-AI components like…
The Shadow Workforce: Rise of the In-House AI Coder
This episode explores the rapid adoption of AI in software development, revealing how companies like Ramp and StrongDM are using AI to author significant code, with some even eliminating human…
The Rich Get Richer: Is AI Making Your Senior Engineers 10x and Your Juniors Obsolete?
This episode challenges the common belief that AI will level the playing field for developers, presenting data that shows it disproportionately benefits senior engineers. Listeners will learn that…
Atlassian's AI Sacrifice: Firing Engineers to Hire "AI Talent"
This episode explores Atlassian's recent layoff of 1600 employees, including over 900 in R&D, as a strategic pivot to "self-fund further investment in AI." Listeners will learn about the…
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Debug Log has published 21 episodes since March 2026, covering topics in Technology.
Debug Log is currently sporadic with new episodes every few days. Average episode length is 14m.
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