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In a world teetering between relentless AI innovation and its shadowy pitfalls, developers are finding themselves in the cockpit, navigating a coding universe that's as thrilling as it is puzzling. Dive into today’s tapestry of insights where traditional paradigms get flipped, concurrency dances with creativity, and human tenacity stands up triumphantly against synthetic prowess.

🚀 10 Unspoken NestJS Secrets for Production at Scale

📉 AI tools slow down experienced developers by 19%

📚 A Programmer Who Reads: Tech Books for 2025

⚙️ Asynchrony is not Concurrency

🎥 AV1 @ Scale: Film Grain Synthesis

🔍 Casey Muratori – The Big OOPs

🐍 Crawling a billion web pages in 24 hours

🏆 Exhausted man defeats AI model in coding championship

🔒 How to catch GitHub Actions workflow injections

🧩 Switching to Claude Code + VSCode inside Docker

Keep questioning the tools and pushing the boundaries—every line of code sharpens your edge.

Open-source devs got stuck, wasting 19% more time on tasks thanks to AI tools—oppose the hype and vendor bluster. Yet, a baffling 69% clung to AI, suggesting some sneaky perks lurk beneath the surface.

A weary-eyed Polish coder, Przemysław Dębiak, bested an OpenAI model in a grueling 10-hour face-off, reminiscent of John Henry’s epic duel against the steam-powered behemoth.

Boosting scalability in distributed systems isn't just a mad dash for speed. It's about morphing resources to tackle shifting demand. Nail scalability, and you balance infrastructure costs with job handling efficiency, all while juggling resource utilization at a sweet spot around 0.5. Crave a drama-free experience? Systems must scale like an expert balancer, adapting to the rollercoaster of workloads thrown their way.

Uncovered a memory regression in Go 1.24. Pored over memory patterns in countless pods like a detective with too much caffeine. Pinpointed sneaky allocation blunders.

Branch prediction matters. Why? About a quarter of instructions are branches, and modern CPUs nail an accuracy above 90%. Yet, those often-pesky branches can choke CPUs, stalling instruction flow. So, take a wrench to your if-else logic. Trim indirect branches whenever you can—your CPU will thank you.

GitHub Actions injections are one of the most common vulnerabilities in projects. Use CodeQL to scan workflows and protect against these risks effectively.

Using Claude Code in Docker through VSCode's Dev Containers isn't just about tech—it’s about keeping your AI in a safe little box where it can't wreak havoc on your setup. Picture this: no panic over unexpected system tantrums. Plus, say goodbye to absurd rate limits and hefty bills. A bonus, particularly when side-by-side with the spendy likes of Cursor Pro.

Imagine tearing through 1 billion pages in a single day on a shoestring budget. This crawler pulled it off with 12 nodes and some savvy async maneuvering. But here's the kicker: it wasn’t the fetching that choked the CPU. Nope, it was the parsing. Today’s web behemoths, bloated with JavaScript and other digital detritus, laugh at good old HTML parsers. So, if dynamic rendering gets on your to-do list, brace for sticker shock.

Software development requires balancing quality and speed. Aim for an "8 out of 10 score" code, finish on time, use rough drafts spiked with bugs, make small focused changes, and flexibly adjust requirements. Effective devs also hone code reading, data modeling, scripting, debugging, and break-taking skills. So drop the perfectionism, embrace the messy drafts, and get things done efficiently!

iframes: Secure and isolated, but clunky as dial-up. Best for legacy cleanup missions. Web Components: Native and framework-agnostic, perfect for reusable UI with Shadow DOM flair. single-spa: Juggles multiple SPAs with the finesse of a circus, though it gets chatty. Module Federation: Real-time module confab, shackled to Webpack, yet import maps are optional. Each has its quirks and perks for micro-frontends—choose your weapon wisely.

AI addiction wreaks havoc on the brain, triggering dopamine rushes and muddying judgment. It mirrors the chaos of substance abuse. To reclaim their lives, those battling this digital beast turn to virtual meetings and outreach calls. They sidestep tech traps, embracing the grit of the 12 Steps to wrestle back control.

Unlock NestJS speed by steering clear of full module preloads. This trick slashes cold start drags, cutting first request delays by up to 10 seconds.

PostgreSQL juggles 100,000 events per second. Just needs some index wizardry and query twerking. The problem? Table bloat and Write Amplification. Gross.

Enter the mighty COPY—it bulldozes through bulk data, politely ignoring the usual Insert drag. And those recursive CTEs? They pull off loose index scans, giving performance a sly nod minus the native support.

Bun tries to swallow files over 4GB and promptly chokes. The culprit? Its Buffer caps out at 4GB. The fix? Slice files into chunks under 4GB but keep the buffer lean, no more than 128KB, to keep things zippy. Pull out the big guns—workers. This move fires up all CPU cores, slashing processing time from 18.65s to 9.22s. And yep, go manual with UTF-8 parsing. It's Bun's single-threaded quirk, and it's kind of charming.

Asynchrony isn't a twin to Concurrency in Zig. It juggles async tasks without leaning on multi-threading, letting sync and async mingle harmoniously. Concurrency craves overlap, but Zig's savvy. When resources get stingy, it smartly reverts tasks to synchronous, dodging drama like deadlocks or sudden crashes.

Efficient reliable UDP unicast, UDP multicast, and IPC message transport

Open Source AI coding assistant for planning, building, and fixing code. We're a superset of Roo, Cline, and our own features. 

The impossibly small web framework for Python and MicroPython.

Versatile ASCII and ANSI Art text editor for drawing in the Linux/Unix/macOS terminal, with animation, 256 and 16 colors, Unicode and CP437, and customizable themes

A self-hostable personal dashboard built for you. Includes status-checking, widgets, themes, icon packs, a UI editor and tons more!

"In software, we tirelessly fine-tune our tools until they serve us, only to find ourselves serving them once they're perfect."
— Sensei