What’s the secret behind the success of AI tools? Well, for starters, they make development faster, remove a lot of routine work, and give you more room to experiment.
But even with all that convenience, they still have one built-in limitation: they depend on static training data. Once a model is trained, it stops learning on its own – it won’t magically notice new widgets, API changes, or configuration updates. So even when an assistant sounds perfectly confident, there’s a good chance it’s pulling its answer from an older snapshot of reality.
