I find that I'm choosing AI tools based on the quality of the harness rather than the model.
For example, I'm using Claude Code Web because its model of remote VMs is extremely convenient. I'm using Perplexity because it's tuned really well for web searches.
LLMs are great at style transfer, and this works surprisingly well for syntactic transformations too.
I rewrote a small website's EJS templates to 1500 LOC of TSX with a oneshot in Claude. It took ~12 minutes, but it just worked.
(TSX seems nicer than EJS for static analysis.)
I've realised that AGENTS.md / CLAUDE.md solve two distinct problems:
* It tells the LLM the conventions of the project, avoiding follow-up prompts.
* It precomputes a summary of the project, saving a bunch of searches at the start of a session.