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Vibe coding has turned senior devs into ‘AI babysitters,’ but they say it’s worth it

Fastly says95% of developersspend extra time fixing AI-written code. Senior engineers take the brunt. That overhead has even spawned a new gig: “vibe code cleanup specialist.” (Yes, seriously.) As teams lean harder on AI tools, reliability and security start to slide—unless someone steps in. The re.. read more  

Vibe coding has turned senior devs into ‘AI babysitters,’ but they say it’s worth it
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Guardians of the Agents 

A new static verification framework wants to make runtime safeguards look lazy. It slaps **mathematical safety proofs** onto LLM-generated workflows *before* they run—no more crossing fingers at execution time. The setup decouples **code from data**, then runs checks with tools like **CodeQL** and .. read more  

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Understanding LLMs: Insights from Mechanistic Interpretability

LLMs generate text by predicting the next word using attention to capture context and MLP layers to store learned patterns. Mechanistic interpretability shows these models build circuits of attention and features, and tools like sparse autoencoders and attribution graphs help unpack superposition, r.. read more  

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Introducing the MCP Registry

The new **Model Context Protocol (MCP) Registry** just dropped in preview. It’s a public, centralized hub for finding and sharing MCP servers—think phonebook, but for AI context APIs. It handles public and private subregistries, publishes OpenAPI specs so tooling can play nice, and bakes in communit.. read more  

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GitHub Copilot on autopilot as community complaints persist

GitHub's biggest debates right now? Whether to shut down AI-generated "noise" fromCopilot—stuff like auto-written issues and code reviews. No clear answers from GitHub yet. Frustration is piling up. Some devs are ditching the platform altogether, shifting their projects toCodebergor spinning upself-.. read more  

GitHub Copilot on autopilot as community complaints persist
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The LinkedIn Generative AI Application Tech Stack: Extending to Build AI Agents

LinkedIn tore down its GenAI stack and rebuilt it for scale—with agents, not monoliths. The new setup leans on distributed, gRPC-powered systems. Central skill registry? Check. Message-driven orchestration? Yep. It’s all about pluggable parts that play nice together. They added sync and async modes.. read more  

The LinkedIn Generative AI Application Tech Stack: Extending to Build AI Agents
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PostgreSQL maintenance without superuser

PostgreSQL’s moving in on superusers. As of recent releases—starting way back in v9.6 and maturing through PostgreSQL 18 (coming 2025)—there are now **15+ built-in admin roles**. No need to hand out superuser just to get things done. These roles cover the ops spectrum: monitoring, backups, fil.. read more  

PostgreSQL maintenance without superuser
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Magical systems thinking

AI now writes over **25% of Google’s** and as much as **90% of Anthropic’s** code. That’s not a trend—it’s a regime change. Still, the mess in large public systems reminds us: clever analysis isn’t enough. Complex systems don’t behave; they misbehave. When the machines are churning out code, the .. read more  

Magical systems thinking
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Scaling Prometheus: Managing 80M Metrics Smoothly

Flipkart ditched its creakyStatsD + InfluxDBstack for afederated Prometheussetup—built to handle 80M+ time-series metrics without choking. The move leaned intopull-based collection,PromQL's firepower, andhierarchical federationfor smarter aggregation and long-haul queries. Why it matters:Prometheus.. read more  

Scaling Prometheus: Managing 80M Metrics Smoothly
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Writing an operating system kernel from scratch

A barebonestime-sharing OS kernel, written inZig, running onRISC-V. It leans onOpenSBIfor console I/O and timer interrupts. Threads? Statically allocated, each running inuser mode (U-mode). The kernel stays insupervisor mode (S-mode), where it catchessystem callsandcontext switchesvia timer ticks. .. read more  

Writing an operating system kernel from scratch
DevOpsDayLA is Southern California's premier conference focused on the human side of technology delivery. For 15 years, we've brought together SoCal practitioners who understand that great software isn't just about tools, it's about people working together effectively.

The 2026 Lens: DevOps in an AI World: You're working in a world where AI is everywhere, embedded in your tools, requested by your management, and reshaping how teams deliver software. Whether you're embracing these changes or navigating the challenges they create, your experience matters.

We're looking for stories about how you and your organizations are adapting your mindsets, processes, and team dynamics in this rapidly evolving landscape. How did your team integrate AI into existing workflows? What changed about collaboration when AI entered the picture? Where do humans remain critical in automated processes? How do you build the next generation of engineers when entry-level work is automated? What are the real implementation challenges you're facing in Southern California's entertainment, gaming, aerospace, retail, healthcare, and manufacturing companies?

What makes DevOpsDayLA different: We focus on culture, collaboration, and cross-industry implementation stories rather than pure technical deep-dives. We're all about the people and processes that make technology successful in an AI world, not the technology itself.

We especially welcome new speakers, under-represented voices, and fresh perspectives from across SoCal's diverse tech landscape.

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For additional information, please contact us at los-angeles@devopsdays.org.

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Friday, March 6, 2026 - 10:00 to 17:00