The AI writes the code.
That was never the hard part.
AI can generate code in seconds, but most teams are still shipping code that hasn't been reviewed. Here's what fixes that.
The code around the model decides what it can actually do.
The way an agent executes work is what separates scale from stall.
Models and vendors change. What you teach the system is what sticks.
What matters isn't capability. It's how much you can govern.
Every vendor calls it an agent. Whether it fits the work you need is a different question. Here's what matters for you.
Make AI decisions now that still hold up a year and a half from now, not ones you'll have to redo.
Spot the tradeoffs in how agents run, get governed, and learn before they lock you in.
Know which platforms can handle real client work, not just handle routine paperwork.