The New Left Behind

Tue 09 June 2026

Frontier LLMs continue to get more and more powerful, exactly as expected. Yet despite their increased usefulness, a camp of AI skeptics and never-LLMers is emerging - Zig goes as far as a Strict No LLM / No AI Policy!

There was some merit to this, early LLMs genuinely needed close supervision and technical expertise to produce high-quality code, and overly enthusiastic early adopters produced a lot of slop and spam. However this is increasingly not the case anymore with current models, just as these policies and ideas are becoming more popular.

Instead, the correct move with LLMs is to aim for where the models are going to be 3-6 months from now: look at benchmark progress over the last 1-2 years, remember that it's been barely a year since Claude Code GA, then realize that coding will be largely solved by the end of this year.

If you have entire teams of high-skilled LLMs at your disposal:

• what will become possible that is currently extremely hard or impossible?
• what are the remaining bottlenecks in your workflow?
• how can you move vertically in the value chain? Ideas, taste, direction?

Run to where the puck is going to be!

Tags: ai, programming, learning