# Agentic Coding Outperforms Human

> Source: <https://www.dotnetperls.com/2026_6_24_agentic-coding-outperforms-human>
> Published: 2026-06-24 07:00:00+00:00

I spent an hour trying to **improve** a **function** in my **Rust program**. Unfortunately, after all my work, it turned out my changes made it slower, so I had to discard the new version. In dismay, I loaded a local LLM in OpenCode (Qwen 3.6 35B with AutoRound) and asked it for some tips.

It came up with an idea I had not considered—split the function in **two parts** and remove a bunch of `if`

-statements. I had the LLM agent implement the code, and after benchmarking, I found the **new version** was **faster**. I spent some time tidying things up, and now the program is faster and clearer than before.

Interestingly, it seems that:

• My own coding failed as I tended to be reluctant to give up on a failed approach I had invested time in.

• The LLM came up with a completely different idea and implemented it.

• In this particular case, the LLM agent seems to have outperformed me.

I don't think this is proof that the LLM is a **better programmer** than I am. It does seem to indicate I tend to get stuck on trying to force a bad solution to work. Having a different approach altogether worked better in this case.