LLMs are more like E-bikes. More assist makes you go faster, but provides less exercise.

LLM-generated code is like an oil spill. Real engineers will be there to mop up the mess - and collect the checks.

Society restricts who can design bridges or prescribe medicine, but it lets anyone market their software. AI accelerates the problem. It's in everyone's interest that states require licensure of software engineers.

There are certain skills software engineers can practice to further differentiate themselves from LLMs.

While it's rare to see a sixty-year old car still running, COBOL is 65 years old and processes 95% of today's ATM transactions. The world is full of critical infrastructure running on ancient software, so it's important to understand how software can fail.

Tech risk is a business concern. Instead of vaguely bemoaning "tech debt" and hoping to "do things right", explain its potential costs with words the business understands.

AI now lets anyone write software, but it has limits. People will call upon software practitioners to fix their AI-generated code. Learn how to decide when to take that gig.

Tech Debt becomes due swiftly and chaotically. Tech Risk is a better metaphor.

At work, saying no to someone higher on the org chart is safe if you first earn their trust and if it's for the good of the business.

In software engineering, over-reliance on LLMs accelerates incompetence. LLMs can't replace human critical thinking.

In a competitive landscape, LLMs, like supershoes, do not result in your benefit.