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Winning in the AI Era: How Top Teams are Driving Their Velocity Gains with Alloy & Chime

While most teams struggle with the complexity of AI-generated code, Alloy and Chime have built internal cultures and processes that enable them to scale their development while maintaining quality. Join CircleCI’s CTO, Rob Zuber, in conversation with Maciej Makowski, Senior Software Developer at Chime, and Sunny Singh, Senior Software Engineer at Alloy, as they explore the dynamics that set their teams apart. They'll talk through the culture and delivery practices that actually moved the needle.

How Much Does It Cost To Keep Up With The AI Joneses?

I’ve been an engineering leader for over a decade, and I’ve spent most of those years in private Slack groups with other engineering leaders, comparing strategies and kvetching about Kubernetes. Of the hundreds of threads I’ve taken part in, the one that got the most engagement the fastest was a recent one around AI adoption. “Where are you on this continuum?”, it read. “A. You don’t really care how people use AI; B. You push people to use AI; or C.

Transform ticket hell into smooth operations #ITSM #AI

Infraon ITSM uses advanced "ai" capabilities to manage operational noise, significantly boosting "business efficiency". It features a robust "ticketing system" and "sla" management for prompt resolutions, alongside self-service portals and a comprehensive "knowledge base" to enhance the "service desk" experience.

Enhancing our API for better agentic consumption

AI coding agents like Claude Code and Codex are becoming a real part of developer workflows. They don't just write code, they call APIs, interpret responses, and take action based on what they find. That means the quality of your API responses directly affects how useful an agent can be. We've shipped a series of improvements to the Oh Dear API with this in mind. Every change helps humans too, but we specifically optimized for how agents consume and reason about data.

The Modern Incident Management Playbook: From Alert Fatigue to AI-Driven Orchestration

A complete guide to modern incident management and how it’s transforming into a strategic business function. Kamalesh Srikanth , Product Strategy Leader at AlertOps If you’ve worked in IT, infrastructure, or operations for any length of time, you’ve lived through the chaos of a critical incident. Systems down, alerts blaring, Slack pinging, emails piling up and somewhere in that noise, your team is trying to figure out what actually broke and how to fix it fast.

How to Translate YouTube Videos: Tools and Best Practices

Most creators don't think about translation until they open their analytics one day and see traffic coming in from Brazil, Germany, or Japan. And they just sit there staring at it like, wait, people actually want to watch this? In a different language? That's usually the moment it all clicks. The good news is that tools built to translate YouTube video content have gotten genuinely good. Not impressive for a computer good. Actually, it's good. Dubbed audio that sounds natural, lip sync that holds up, and a workflow that doesn't require a team or a big budget to pull off.

Lowering PUE: Building Envelope Efficiency in Edge Computing Units

Edge computing is changing how we handle data across the globe. Smaller units closer to the user need smart cooling to stay efficient. Compact systems handle big tasks in small spaces without needing giant server rooms. Power Usage Effectiveness (PUE) tracks how much energy goes to IT versus support. Improving the outer shell of units helps keep costs low. High efficiency is a goal for every tech site, and it saves money.

Strategic Ways to Lower Small-Batch Manufacturing Costs

A common refrain echoes through engineering departments in R&D and cost-reduction consulting: "Our production volume is too low to justify expensive molds. There is simply no room to cut costs." This mindset is the greatest enemy of profitability. When engineers believe that low volume equals fixed high costs, they stop exploring. They settle for the status quo, and inevitably, costs remain high. But is low volume truly a dead end for cost reduction?