> Junior engineer learn, AI does not.
This is technically true, but lets not act like we haven't seen immense improvement of both models are harnesses for these models in the past years. They may not be learning, but they are getting better
> Junior engineer learn, AI does not.
This is technically true, but lets not act like we haven't seen immense improvement of both models are harnesses for these models in the past years. They may not be learning, but they are getting better
They are getting better at historical data, not at the fundamental issue.
As a recent example, I recently had to abandon the multiple LLM reviewer/verifier model I was using because zig 0.16 was released with major changes.
I actually reverted back to full self hosted because the foundation models we’re trying too hard to revert to the older versions of the language.
It is going to be a balancing act and there is fundamentally no way for LLMs to get around this.
We will have to develop methods to do so, most likely by focusing agents on problems that are more static.
Question for you, since I also use Zig 0.16: how do you get it to use Zig idioms? I use Kimi 2.6, and I feel like whenever I try to get my agent to write modern Zig based on a C reference it decides to start writing everything in a C style (doesn't use defer, doesn't use opaque enums even when I explicitly tell it to, doesn't use Zig's error unions, swallows errors instead of asserting, and some more). It's quite frustrating, and a lot of catchable errors crop up until I've beat modern practices into it.
I don’t, it is mostly used for ideas, review, etc…
Getting the agent to grep std, example code, comments that reference inaccessible security or bugs etc.. help a little.
But for my needs, not refactoring would just be stepping over dollars to pick up pennies.
But yes it is a problem.
I find great success in not relying on LLM's built-in knowledge, but giving it links to necessary docs/manuals and have it read that before doing anything.
Currently, with zig 0.16 the agent has to have access to the zig compiler and std library to even produce code that will compile.
If you have zig installed, you can run ‘zig std’ to see that.
You still have the limitations of attention etc…
Even zed’s agent will leverage that built in tarball, but it doesn’t solve the problem, especially as some of the languages killer features are unavailable in C and other languages.
Also, add "no assumptions or guesses" and if you use a model with really strong prompt adherence (most SOTA models), they'll figure out the right version first, then look up docs, then implement.