My technology blog & newsletter. I follow what's happening in tech worldwide and write about it — my opinions on automation, testing, AI, and building things that actually work.
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Swiftlet shows you can decode 80B‑parameter Qwen models on a laptop and a 35B on an iPhone. Here’s why that flips the script for QA, CI/CD and open‑source devtools.
A quick dive into docs methodology, a flexible reference engine, Go's new interactive tour, a teenage engineer's cycloidal gearbox, and Android's latest interoperability win.
AMD’s MI355X delivers more Kimi K3 throughput per dollar than Nvidia’s B300, but only thanks to clever kernel hacks—engineers must own the stack.
Google’s move to block loopback ADB connections could break Shizuku, libadb and a lot of our mobile‑testing tricks – here’s why it matters and how to future‑proof our pipelines.
Handwriting trains the brain in ways keyboards can’t. I’ll argue why engineers should keep a pen in the toolbox, even amid AI hype and failing software factories.
Bento packs a full slide deck into a single HTML file, prompting fresh thoughts on tooling, automation, and the way AI fits into UI‑building pipelines.
Google rolls out Gemini 3.6 Flash, promising lightning‑fast prompts. I’ll unpack the hype, why safety still matters, and what testers should do today.
Alibaba’s Qwen 3.8 drops open‑weight, 2.4 T parameters, and it’s a wake‑up call for SDETs to start testing LLMs like any other service.
From a C++ speech tool to NYC’s AI‑listing rules, I unpack the week’s most buzzworthy stories and what they mean for testers and builders.
NYC wants landlords to admit when AI spiffs up rental photos. I break down the policy, why it matters to testers, and how to future‑proof your pipelines.
LG’s monitors are slipping software onto Windows machines via Update, raising consent, security, and testing questions for every engineer.
From 'The Color Purple' term papers to random literary essays, DEV.to is being flooded with AI-generated spam. Here is why this is a wake-up call for every SDET.
Decoy fonts, Apple vs OpenAI poaching wars, the real state of open-source AI, Kimi K3 benchmarks, Pebble's revival, and a garage-built gimbal rover worth studying.
I’m an SDET who uses LLMs daily, despite the chorus of criticism. Here’s why the noise is useful, how automation can stay sane, and a concrete pattern to keep code quality alive.
Stripe and Advent’s $53B+ bid for PayPal could reshape payments, but the real story for us engineers is how integration, testing, and open‑source AI fit into the new landscape.
A deep dive into the Claude “Memory Heist” that shows how LLMs can exfiltrate your secrets via web_fetch, and what testers can do to stop it.
The new git history command lets you fix, reword, and split old commits without the scary rebase dance—no extra tools, just pure Git power.
Zig lost Bun to Rust, Anthropic trumpeted AI‑only rewrites, and I’m left wondering what this means for testing, automation, and the hype‑filled future of code.
A quick spin through the GPU financing loop, a fresh JavaScript runtime, distributed LLMs, scaling PgBouncer, and a Lisp agent—plus why Vint Cerf’s retirement matters to us builders.
SQLite’s new STRICT tables are a small but mighty feature that can save us from silent data bugs. Here’s why I’m using them, how they mesh with CI/CD, and a few lessons from the GPU‑boom and distributed LLM world.
Apple sues OpenAI over alleged trade‑secret theft. I dissect the drama, its impact on AI hype, and a pragmatic takeaway for testers and engineers.
The army’s looming logistical collapse isn’t just a military problem – it mirrors how we build, test, and ship software. Here’s why engineers should care.
The FTC settlement with John Deere isn’t just farm‑tech news – it’s a wake‑up call for testers, CI pipelines, and anyone who builds software that should stay in the user’s hands.
Ilya’s 30‑paper cheat sheet is a reminder that curated learning beats endless scrolling—especially when you apply the same rigor to test automation and AI tooling.
CoMaps shows that privacy‑first, community‑driven offline navigation is possible—and it forces us to rethink how we test, CI, and build resilient, data‑light tools.
Organic Maps proves that privacy‑first, offline‑first apps can be robust, and it gives test engineers a blueprint for building and CI‑testing such tools.
A quick dive into a macOS port of Command & Conquer, button ergonomics, GPT‑5.5 hiccups, UI library shifts, and jellyfish-inspired healing.
ORMs feel like magic, but without solid SQL skills you write slow, fragile code. Here’s why you should master SQL and keep automation honest.
I dissect Jamesob’s $2k‑$40k local‑LLM guide, compare it to the falling cost‑per‑dollar curve, and give engineers a concrete automation checklist to tame GPU farms.
From SAR radar to MCP servers, Velocity is showing us that the future of AI isn't better prompts, but structured, bounded data for agents to actually use.
A quick run‑through of Android’s sneaky verifier, Copilot’s new Kimi model, Spain’s Palantir ban, LUKS key‑wiping slip, AI‑inventor ruling, and why code reviews matter.
PeerTube offers a truly federated video alternative, but its success hinges on solid testing, CI/CD, and a dash of AI‑powered tooling. Here’s my take.