Tutorials, honest reviews, and lessons learned across tech, education, and everyday life.
by Tharun P KarunAI coding tools have moved from experiment to standard in many engineering orgs. Most teams now rely on AI assistance, top adopters report doubled pull request throughput, and autonomous agents are taking on more routine coding tasks.
Read ArticleMozilla is rolling out a free, built-in VPN with Firefox 149, starting in the US, UK, France and Germany with a 50GB monthly data allowance. Here is how it works, what it covers, and when you should still consider a full device VPN.
AI tools now let people build simple apps with text prompts, but Apple is scrutinizing these 'vibe coding' experiences on iPhone. Here is why App Store policies are complicating approvals, what Apple says, and how this could evolve.
Nvidia unveiled DLSS 5, a real-time neural rendering model that can rewrite a games lighting and materials with generative AI. The promise is photorealism, the reaction is backlash, as players say it overwrites artistic intent and gives everything the same AI-slop look.
An ex-Google Maps product manager used AI agents and "vibe coding" to assemble a Palantir-like geospatial intelligence dashboard in hours, not months. Here is what was built, why the speed matters, and what the public-versus-private data gap means for privacy, policy, and the future of software.
Biological data centers built on living human neurons are moving from lab demo to real facilities. Here is why I support this bold shift, what Cortical Labs is building, and the hurdles it must clear to complement today’s power-hungry AI infrastructure.
An AI-assisted effort recreated the core Next.js API on a different build toolchain in about a week, for roughly $1,100 in AI tokens. Here is why this matters, how it was done, what the limits are, and how teams can responsibly use AI to replicate or port open source projects.
AI now scans medical data for patterns and risks the way weather models scan the skies. Here is how medical AI and predictive healthcare actually work, where they already help, why forecasts remain probabilistic, and what to watch next.
If top engineers are not spending most of their time writing code, then our AI agents should not be judged only by code output either. Here is a new evaluation approach that measures how coding agents investigate, validate, and improve real software systems, much like junior engineers do.