Why AI coding agents write code no one can explain

Why do teams that adopt agentic engineering still end up with broken code nobody can explain?

Is it the models they're using? The way they're prompting?

In this article, Jelmer Cormont, Fractional CTO at MISSION+, argues that it’s something happening underneath the output that most teams never stop to examine.

If you work with AI coding agents or are thinking about how to introduce them properly to your engineering workflow, this insightful article breaks down what is actually happening and how to work with them.

Read the full piece to see where agents earn your trust, and where handing them the wrong work leaves you with code no one can explain.