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.
Team and leadership
Team and leadership content by madewithlove. Helping SaaS startups and scale-ups build teams and software. Welcome to our knowledge base.
139 posts
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.
Eliminating SPOFs: the importance of documentation
Single points of failure (SPOF) in startups lead to lost revenue, delays, and investor concerns. Building a documentation culture early reduces risk and ensures scalability.
Why engineers need a voice in the roadmap
A great product roadmap balances business goals with technical sustainability. Ignoring engineering input leads to technical debt and bottlenecks that slow growth. In this video, we discuss how SaaS teams can integrate engineering priorities into the roadmap for long-term success.
Tech stack decisions for AI startups: what you need to know
Selecting the right tech stack is critical for AI startups. Python is essential for data science, but the backend, frontend, and infrastructure choices determine scalability and efficiency. Explore the best tech stack combinations, hosting tools, and ETL solutions to future-proof your AI startup.