Blog

A non-technical PM's ground-level view of using Claude day to day: writing itself into status reports, explaining unfamiliar tools, sharpening QA, and drawing the line between understanding a system and building one.

We shipped llms.txt on marsbased.com and checked the data. Honest verdict: low cost, useful for docs, not a SEO play, and almost no bots read it yet.

A few months ago we quietly added a new section to the MarsBased Handbook laying out exactly how we use Claude Code day to day, from research to planning to implementation. We never wrote about it here, so we're fixing that now.

In this blog post, I will show you how to migrate your Ghost(Pro) analytics to a self-hosted instance of Ghost, because the current product doesn't port them.

From Slack noise to curated briefings: How Claude Cowork transformed how I oversee projects and team alignment.

How we connected Claude to our remote stack to eliminate bias and bureaucracy from performance reviews, while keeping human judgment firmly at the center.

At MarsBased, AI has become part of our daily workflow: from how developers write code to how non-technical teams create, translate, and manage content. Here’s a look at how we’re Claude Code and similar tools to improve efficiency across the entire company.

We thought Linear AI was just another tech distraction, until we actually tried it. Find out why this new update is a secret superpower for Product Managers, not just developers.

What does a great software engineer look like today? A look inside our updated review templates and the new AI criteria we use to evaluate our team.

Reconnecting, growing, and reaching for the stars at our Martian Retreat Pyrenees 2026.

This scam targets dev agencies and freelancers via contact form enquiries with large budgets, then funnels victims to a fake Google Sites page that serves malware via a fake certificate installer (.dmg).

AI agents often over-abstract coincidental duplication, creating fragile architectures that increase cognitive load and technical debt. Prioritizing clear domain boundaries over rigid DRY principles is essential for keeping codebases maintainable for both humans and AI.