Today’s collection focuses on the human side of software development, from the realities of long-term SaaS maintenance to dealing with impostor syndrome and managing expectations around our work.
Long-Term SaaS Reality
11 Years of Hosting a SaaS by Alex Ghiculescu
Running a SaaS for over a decade teaches lessons you simply can’t learn any other way. Alex shares the accumulated wisdom from maintaining a real product through technology shifts, infrastructure changes, and evolving user needs. This is valuable perspective for anyone considering or currently running their own SaaS, it’s honest about both the challenges and the rewards of long-term product stewardship.
Dealing with Self-Doubt
Impostor Syndrome by David Walsh
David tackles impostor syndrome with refreshing honesty. As developers, we’re constantly learning and encountering things we don’t know, which can feel overwhelming. This article offers practical perspective on those feelings of inadequacy that many of us experience but don’t always talk about openly.
The Value of Tooling
Remember to Build Tools by Tom McFarlin
It’s easy to get so focused on shipping features that we neglect building tools to make our work easier. Tom makes a strong case for investing time in automation, scripts, and utilities that improve your development workflow. I’ve found this mindset shift valuable, sometimes the best code you write is the code that helps you write better code.
Publishing Without Pressure
Publish But Without Any Expectations by Amit Merchant
The pressure to have every piece of content be perfect or viral can be paralyzing. Amit advocates for a healthier approach: publish your work without attaching expectations to outcomes. This resonates with me, some of my most useful writing has been simple documentation of problems I’ve solved, shared without any grand ambitions.
Solving Real Problems
Imaginary Problems Are the Root of Bad Software by Cerebral Lab
This article cuts to the heart of why so much software becomes overcomplicated. We often solve problems that don’t actually exist, adding complexity that makes the real problems harder to address. The discipline of identifying and focusing on actual user needs rather than hypothetical edge cases is harder than it sounds, but this piece makes a convincing argument for why it matters.