> It's an active engagement and best results are achieved when everything is planned and laid out in advance
The most efficient way to communicate these plans is in code. English is horrible in comparison.
When you’re using an agent and not reviewing every line of code, you’re offloading thinking to the AI. Which is fine in some scenarios, but often not what people would call high quality software.
Writing code was never the slow part for a competent dev. Agent swarming etc is mostly snake oil by those who profit off LLMs.
ime this is the problem. When I have to deeply understand what an llm created, I don't see much of a speed improvement vs writing it myself.
With an engineer you can hand off work and trust that it works, whereas I find code reviewing llm output something that I have to treat as hostile. It will comment out auth or delete failing tests.
> When I have to deeply understand what an llm created
Which should be always in my opinion
Are people really pushing code to production that they don't understand?
They are, because in fairness in a lot of cases it just doesn't matter. It's some website to get clicks for ads and as long as you can vibe use it it's good enough to vibe code it.
I wouldn't be caught dead building garbage like that