Evaluating the cost of rebuilding software from scratch involves more than counting development hours; it requires recognising the invisible value of user feedback, lessons learned, and embedded experience.
Startups without a technical co-founder can still build great products, but only if they avoid the usual traps of overengineering, needless infrastructure, and late developer involvement.
Should engineers fear messy AI code or embrace it as a tool for fast product validation? This story reveals why your cleanest code might not be your most valuable contribution. Why founders will use AI generated code more and more for MVPs and prototyping and why engineers should embrace this.
AI tools are changing how agencies work and how they should bill. Fewer hours, faster results, and ballooning token costs are reshaping agency economics. We dive into what comes next, and why value pricing might be the way forward.
Founders and investors due diligence: how to dig beneath the “AI-powered” facade and verify that their systems won’t break in secret.
AI agents shouldn’t become CAPTCHA solvers: discover how monetisation-driven UX patterns have turned the web into a hostile environment and what honest design can do to reverse the trend.
Discover the five most common technical-due-diligence red flags—from undersized or misaligned teams to “just-about-working” codebases—that VCs must spot before writing a cheque.
Why do engineering teams keep rewriting frontends? Let’s explore the leadership bias and tech churn that makes refactors feel harder—yet ultimately more sustainable.
Lynx could revolutionize cross-platform mobile development with its unique approach and performance benefits. Is it time to switch from React Native or Flutter?
