In general, getting into the fine points of the UI can be painstaking, with lots of back-and-forth interaction. The AI will fix one thing, then regress another. At times, I started to feel like going into the CSS myself might be quicker. This is an area where the idea of “GUI grounded AI”—that is, agents that can visually interface with the UI via computer vision—will be worthwhile.
The present and future state of agentic AI
Roo Code paired with Gemini inside VS Code is the most effective setup I’ve found yet for delivering on agentic promise. That said, the claim that agentic AI will replace rather than augment an actual human programmer is still improbable. Roo Code is more like a developer exo suit than an autonomous robot.
As a cautious real-world developer—one who’s been bitten by spiraling complexity time and again—I am wary of the amount of uninspected code being added to our codebases. A responsible developer will slow down, turn off the read/write auto-approval, and look more deeply at the diffs. They’ll take the time to absorb and understand the meaning of the proposed changes and adjust where needed.
What’s dangerous is the temptation to see AI-generated code that looks more or less okay, and just keep rolling. That’s okay for the early stages of prototyping, but we still need experienced developers in the loop during the later stages.
