BUT. Honestly Homepage
Author’s Recommendations
Latest Reads
AI Is Not an Oracle: The Limits of Machine Learning
Machine-learning curves look confident until speedrunners change the game underneath them. MediEvil shows why “AI as oracle” fails.
What Is a Web Developer? How I Became One Before AI
How I became a web developer before AI and what today’s devs can still learn from that slower, hands-on way.
Time Off for Leaders: Can You Really Step Away?
Leaders should carefully plan time off to build team trust and ownership. Download the Handover Plan template.
10 Types of Websites and What I’d Use to Build Them
When WordPress is enough, and when a specialized no-code tool actually makes more sense for your site.
Topics
Leadership
Build better teams through clarity and trust.
Programming
Stories and lessons from writing real code.
Web
Thoughts on the tools shaping the internet.
About the BUT. Honestly Project
BUT. Honestly is the long-form notebook on the things that shape how we work.
You’ll read essays about leadership, programming, and the messy overlap between humans and technology. Essays that cut through noise, no buzzwords, no forced optimism, no clickbait productivity hacks. Just slower thinking, grounded experience, and a desire to understand what’s actually useful.
If you read these essays, you’ll find a mix of craft, reflection, and the occasional rant: why teams fail or succeed, why certain tools matter, what writing code teaches us about people, and why clarity is so difficult to achieve in modern work.
This project is intentionally small, a place to think clearly and help others do the same.
Disclaimer. The views and opinions expressed on BUT. Honestly are solely those of the author, Nicola Mustone. They do not represent, reflect, or speak on behalf of any employer, company, organization, or individual. All content is written in a personal capacity.
The Author
Nicola Mustone (aka Nico) is a support lead at WordPress.com, guiding people, projects, and complex systems across the platform.
He has spent years helping teams grow and debugging messy systems, technical and human, and turning complex ideas into clear, usable guidance.
Outside of work, he experiments with machine learning, builds tools, and writes about the parts of the internet that actually matter.
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