The hidden cost of multiple repositories
Go for one codebase or multiple repositories? A question multiple CTOs and technical founders have asked. It can be a surprisingly expensive decision nobody warns you about.
A guide to vibe coding vs AI-assisted development
Vibe coding or AI-assisted development? The choice isn't binary, but getting it wrong at the wrong stage will cost you. This piece breaks down when to embrace speed over architecture, when to take back control, and why the best teams don't pick sides.
Your startup does not need more engineers, it needs fewer mistakes
Hiring to fix velocity often multiplies your problems. Reduce avoidable mistakes first: tighten decision-making, align product and engineering, and put foundations in place that make a small team dangerous in the right way.
Why freedom beats control: building a proper remote culture
Building a thriving remote-first culture takes more than allowing people to work from home. Discover how hiring for ownership, embracing asynchronous work, and saying no to misaligned projects creates a sustainable remote future.
Legacy vs technical debt: how investors can spot hidden risks in software products
What can investors do about legacy code to prevent your startup from failure? What is the difference between legacy and technical debt?
Your next hire will use AI in their technical test. Obviously.
As AI becomes a standard part of every developer’s toolkit, tech hiring needs to evolve from policing its use to understanding how candidates apply, evaluate, and collaborate with it.
Technical due diligence is broken: going beyond the checklist
Most technical due diligence audits focus on code quality and tooling, but the real risk lies in invisible processes, fragile teams, and product chaos, which is why madewithlove audits the full stack of your organisation, from code to culture.
AI writes bad code, but what if that’s the good news?
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.