Software Development Blog

OpenClaw went from zero to 150,000 GitHub stars in days. Sadly, OpenClaw security best practices haven't kept pace.

You don’t cut timelines by coding faster. You cut timelines by removing the blind spots before anyone opens an IDE. A strong software project discovery phase does exactly that and pays off in fewer change requests, less rework, and calmer releases.

What’s the biggest mistake you can make when building an AI product? Choosing the wrong framework is definitely in the top three. Because getting this choice wrong means your product will likely be unviable, unscalable, or way too expensive to build.

Legacy modernization is not optional today. Without it, your business won’t be competitive, especially in this economy where every saved cent matters.

We may live in a world where technology has already surpassed many sci-fi movies, yet it has done little to advance healthcare workflow automation. Most clinics are stuck in a paper-and-phone era, and patients are paying the price.

If you’re playing with RAG just to impress your board, skip this one. If you want retrieval augmented generation to power products your users trust at 2 a.m., let’s talk.

The implementation of AI in software support and maintenance is revolutionizing businesses and, most importantly, their budgets. But of course, this tech can make a noticeable difference for you in this economy only when managed efficiently. That’s exactly what we are going to discuss here today.

You can build fast, you can build beautifully, but building the wrong thing still sinks the roadmap. And that raises the real question for any founder: why do strong engineering teams still ship features users ignore?

When you move from LLMs on slide decks to LLMs in production, LLM inference optimization stops being a nice-to-have and becomes your unit economics. A 2025 ACL study shows that proper LLM inference optimization techniques reduce energy usage by up to 73% compared to naive serving, which typically translates to a 2–3x reduction in cloud costs.​

What does a great TypeScript code review actually check? It answers one practical question: Does this update strengthen the system or introduce risk as it grows? A strong review examines how data shapes are modeled, how modules communicate, and how safely new logic moves through the architecture.