Earlier quoted context omitted.
"It feels like these new models are no longer making order of magnitude jumps, but are instead into the long tail of incremental improvements. It seems like we might be close to maxing out what the current iteration of LLMs can accomplish and we're into the diminishing returns phase." SWE bench from ~30-40% to ~70-80% this year
Yet despite this all the LLMS I've tried struggle to scale beyond much more than a single module. They're vast improvements on that test perhaps, but in real life they still struggle to be coherent over larger projects and scales.
Yes. You must guide coding agents at the level of modules and above. In fact, you have to know good coding patterns and make these patterns explicit.
Claude 4 won’t use uv, pytest, pydantic, mypy, classes, small methods, and small files unless you tell it to.
Once you tell it to, it will do a fantastic job generating well-structured, type-checked Python.