Three cursors walk into a codebase
A cautionary tale about interns, AI tools, and outsourcing delivering 80% of a project—leaving internal teams with the clean-up. Learn why shortcuts often come with hidden costs.
Team and leadership
Team and leadership content by madewithlove. Helping SaaS startups and scale-ups build teams and software. Welcome to our knowledge base.
142 posts
Making an impact by combining our services
Madewithlove combines interim CTOs and staff engineers to help SaaS scale-ups align strategy with execution and build resilient tech teams.
Another early-stage SaaS founders dilemma: buy a pre-built app or build one from scratch
Should SaaS founders buy or build their MVP? We compare pre-built apps vs custom development across cost, time, scalability, and code quality — so you can choose the right foundation for your product.
Why involving engineers in product meetings saves time and money
Involving engineers in product specification meetings reduces costly iterations and accelerates feature launches for SaaS startups.
Should we really ship fast and break things?
Should startups test everything before shipping? We break down how to balance testing with product velocity—and why 100% coverage is often the wrong goal.
Vibe coding and the junior developer dilemma
AI tools are transforming how we code, but they're not replacing the experience needed to build real software. Let’s talk about what vibe coding gets right—and what it gets very wrong.
So you messed up
Everyone breaks production eventually. This guide walks through how to take responsibility, communicate with your team, and make real improvements after something goes wrong. A must-watch for engineering managers and developers.
When don't you need a fractional CTO
Does every startup need an interim CTO? Fractional CTOs can accelerate growth and solve complex challenges—when brought in at the right time. Learn when it’s too early, too risky, or simply not the right fit for your business.
AI overdose: When developers stop thinking and start prompting
AI tools are reshaping how junior engineers approach problems, often replacing simple solutions with overly complex ones. Here’s why foundational thinking still matters. A real-life case of AI over-engineering gone wrong highlights why understanding problem domains still beats prompting.