The stadium buzzed with electric anticipation. It was the final seconds of the Super Bowl, and the underdog team trailed by four points. Everything hinged on this last play. The quarterback scanned the defense and noticed a telltale formation—the opponents had fallen into a pattern they’d dissected tirelessly in practice. Seizing the moment, he called an audible at the line of scrimmage. Instantly, the offensive line adjusted their stances, receivers altered their routes, and the running back shifted to provide crucial protection.
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Residents of Rogers Park and the surrounding areas are advised of several incidents that occurred recently. Local authorities responded promptly to each situation to ensure community safety. Below is a recap of the reported events:
Manager Identifies Individual in Walgreens Confrontation Location: Walgreens, 4445 N Lincoln Ave
Time: 12:00 AM
Police units returned to Walgreens after a manager identified a gentleman involved in an earlier confrontation at the store. An officer on the scene reported, “All right, back to the Walgreens to have the manager identify this gentleman.
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In many engineering organizations I’ve been part of, the drive for rapid delivery often results in shortcuts and “good enough” solutions. When managed effectively, this ability to quickly provide value can be a significant competitive advantage. However, poor management or defaulting to this approach can lead to what I call “complexity bombs” – ticking time bombs of technical debt that explode into major issues as systems grow and evolve. These can sometimes manifest unexpectedly, particularly in distributed systems, causing sudden leaps in complexity.
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Hello and What? My software engineering career began in industrial manufacturing with a paid internship at O’Sullivan Films Inc, a company specializing in plastic and vinyl sheeting for products like pool liners and car dashboards that, like so many American businesses was bought by and international conglomerate and folded into its parent’s generic embrace. The experience I gained while working at O’Sullivan, along with my years working in ‘agile’ tech startups over the years has me thinking about the differences between how manufacturing and pure software businesses approach product design, development.
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In a testament to the progressive march of technology, OpenAI has emerged as a herald of the AI renaissance. Recently, the distinguished AI think-tank cast a spotlight on future digital directions at its inaugural Developer Day event. This blog endeavors to capture the pivotal moments and revelations that could very well chart the course for AI’s role in our everyday lives.
Custom GPTs Made Easy A remarkable stride in AI accessibility was announced, shattering the barriers to entry for custom GPT utilization.
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Monorepos: The Secret Weapon Against Tech Debt Hold on to your (code)bases, because we’re about to dive into the thrilling world of monorepos and their unexpectedly effective role in managing tech debt!
Choose Your Fighter Monorepo: The One Repo to Rule Them All Monorepos are like a software development Swiss Army knife. In a monorepo setup, you’ve got one repository that manages all code and services with shared build tooling and common dependencies.
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In today’s newly competitive tech jobs market, it’s more important than ever to have a well-written cover letter when applying for a job. It’s your opportunity to make a great first impression and set yourself apart from other candidates. But writing a unique and compelling cover letter for each job you apply to can be time-consuming and daunting. That’s where GPT-3 comes in.
GPT-3, or Generative Pretrained Transformer 3, is a state-of-the-art language model developed by OpenAI.
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I have a small home lab kubernetes cluster running k3s from rancher labs. As part of that deployment, the traefik ingress controller is included. This post is first in a series where I muddle through exploring the traefik ingress using a rust webserver.
Covered in this post. Rust workloads on k8s with ARM and Docker. What will be running? Since my home lab cluster runs on 4 raspberry pi’s, some work will be needed to get a properly formatted image.
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As a new home owner and nerd, I’ve been leaning into the “smart home” trend. Naturally, this makes for a great excuse to tinker with the latest IOT technology and to experiment with distributed computing. What better test bed for working with the ‘Service Mesh’ than coordinating micro-computer devices and sensors? To that end, I’ve chosen to use Rancher’s IOT focused kubernetes distribution k3s. I plan to write more about my setup in the future but, for now I’d just like to share my configuration for running the HomeAssistant platform on kubernetes cluster with a zwave gateway.
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