Case studies, articles on AI development, and insights on AI-assisted coding, and software craftsmanship.
Yes: modern coding agents cover a surprising share of foundational CTO-ish work — exploration, scaffolding, refactors. The catch is conversational AI’s tendency to reinforce what you already believe, not veto a bad plan.
A plain-English definition: what “fractional” means in practice, what you hire for, and what stays on your plate as a founder.
Signals that you will get ROI from fractional CTO coverage — and honest failure modes when the model is the wrong tool.
A pragmatic week-by-week shape: artifacts, rhythms, and what “good” looks like early — without pretending a playbook replaces your context.
Technical debt is not just old libraries. It is also fading system understanding, undocumented decisions, and AI-accelerated entropy that teams do not see until delivery slows down.
For sure not in the same way carbon-based lifeforms understand it. Here's how to use the agent to build the map before you change the territory.
Coding agents introduce a new kind of technical debt no one is really considering. The real danger isn't messy code — it's intent debt, context debt, dependency debt, and confidence debt.
Everyone wants to show progress. We track numbers, build dashboards, and celebrate achievements. But what if the very metrics you're relying on are misleading you?
So, do you need a CTO? Yes. But... you must hire for the stage you're in, not the stage you dream of.
Let's talk about your project and see how we can help bring your ideas to life.