Hey there! I recently stumbled upon this fantastic guide titled “The Next Act,” which delves into the art of career change and professional reinvention. It’s packed with insights on discovering your skills and steering your own comeback. Perfect if you’re contemplating a career shift or looking to find work that truly matters. Give it a read for some inspiration!
Why do our project estimates keep failing—no matter how hard we plan? The answer isn’t just poor judgment or bad luck. As Dave Stewart reveals, it’s because every project is a living system, overflowing with invisible tasks and feedback loops that most estimators never see. To succeed, we need to map the whole ecosystem—not just the tip of the iceberg we call ‘the work.’
Despite the headlines promising a future of fully autonomous AI agents, the reality inside production systems tells a different story. Even as large language models become more capable, error rates in multi-step workflows and the spiraling costs of long conversations reveal a hard truth: autonomy alone isn’t enough for real-world reliability. The most effective AI agents today are not the ones replacing humans, but the ones designed to work alongside them—leveraging AI for complexity while relying on human oversight to guarantee safety, accuracy, and trust. As the 2025 hype grows, practitioners are discovering that keeping humans in the loop isn’t a weakness—it’s the key to making AI agents work where it matters most.
In a rapidly changing tech landscape shaped by layoffs and accelerating AI, what does the future hold for veteran engineers and system architects? Reflecting on Jonathan Hoyt’s essay “The Uncertain Future of Coding Careers and Why I’m Still Hopeful,” this post explores how experienced developers can move beyond fear of obsolescence and instead embrace reinvention, mentorship, and the uniquely human skills that will define coding careers in the age of intelligent machines.
Curious whether the latest breakthroughs in large language models are truly revolutionary or just clever refinements? In “The Big LLM Architecture Comparison: From DeepSeek-V3 to Kimi K2: A Look At Modern LLM Architecture Design,” Sebastian Raschka unpacks how today’s most powerful open AI models—from DeepSeek and Kimi to Llama 4 and Gemma—are still built on the classic transformer architecture, with progress coming from ingenious optimizations like smarter attention, memory-saving tricks, and new ways to keep training stable. Whether you’re choosing between open models or debating sticking with OpenAI or Anthropic, the real story is one of evolution, not revolution. This post breaks down what’s really changed, what hasn’t, and which model might fit your needs best.
“Recognize that not everything with a pastel icon and a ping is there for your benefit.”— BoSacks The Dilemma: Competing with the Slot Machine Once, the publisher’s task was daunting but clear: deliver stories, images, and ideas that made readers linger. Today, it’s like trying to read poetry in the middle of a casino. The …
Hey there! In my latest blog post, I’m sharing a peek at my ultimate self-hosting setup, unraveling the myths about asynchrony and concurrency, and I’m kickstarting a DIY series on creating your own backup system, emphasizing the strategy before diving into scripts. It’s an exciting mix of tech strategies you won’t want to miss!
Let’s be real—fitness advice online is a total mess. Everyone’s shouting conflicting tips, and it’s impossible to know what actually works. That’s why I loved this article that breaks down the real, science-backed stuff about exercise and health—no hype, no BS. Here’s the gist: The best part? You don’t have to be perfect or an …
What happens when software development gets upended by AI? According to Scott Werner, we’re all improvising—and that might be the only honest answer. The Wild West of AI-Driven Development Scott Werner’s essay, Nobody Knows How To Build With AI Yet, is a must-read snapshot of the modern AI development experience: exhilarating, uncertain, and utterly unpredictable. …
“Data must always be restorable (and as quickly as possible), in an open format, and consistent.”— Stefano Marinelli Why Your Homelab Needs More Than Just “Copies” If you’re running a homelab—whether it’s for learning, hosting services, or managing family data—you’ve probably told yourself “I’ll back it up later” or “I’ve got my files on another …
