Shiny frameworks promise magic, but like cheap non-stick pans, they scratch, peel, and end up in the bin. Boring technology, like stainless steel, isn’t sexy, but it lasts for decades if treated well. The lesson? Build for the long haul, not the quick thrill.
The most common mistake in mobile product launches is assuming the app store submission process is routine. It isn’t. From mismatched requirements between Apple and Google to last-minute policy changes, this is where launch plans unravel.
AI agents aren’t just chatbots. They observe, plan, and act to solve problems across systems. Powerful for workflows but costly and prone to errors, their value comes from tackling focused business problems, not the hype.
What can investors do about legacy code to prevent your startup from failure? What is the difference between legacy and technical debt?
Pull requests are invaluable for sharing knowledge and improving code quality, but in small teams reviews often get rushed or skipped. AI reviewers like Cursor’s Bugbot step in to bridge the gap. For teams short on review capacity, it can add meaningful value.
What can theatre teach startups about silos? That rehearsed collaboration beats chaos every time. madewithlove supports SaaS companies with CTO coaching, audits, and software engineering: discover how to keep your teams working together at the heart of your business.
Professor Quacks is back with five more principles for better engineering: build tools that help, move with healthy urgency, plan wisely, work well with others, and lead by example. These aren’t just coding tips, they’re culture-shaping lessons.
Building diverse tech teams takes more than good intentions. From job ads and interviews to flexible work and international hiring, discover how we try to embed inclusion into every stage of the hiring process, subtly, sustainably, and deliberately.
When selecting AI tools, companies must go beyond productivity and consider compliance, community support, and team management. Discover madewithlove’s pragmatic approach to responsible, scalable AI adoption.