When to Train an AI Model and When to Write Code
There's a rush to use AI for almost every problem at the moment. That enthusiasm can make it easy to reach for a model before asking whether a straightforward rule would solve the problem more reliabl

There's a rush to use AI for almost every problem at the moment. That enthusiasm can make it easy to reach for a model before asking whether a straightforward rule would solve the problem more reliabl

Spend enough time following Python tooling and AI infrastructure, and you start noticing the same implementation detail - "written in Rust". The validator is Rust. The tokenizer is Rust. The DataFrame

From Your First Message to Reliable Processing

We've become very comfortable putting instructions for AI into Markdown. It makes instructions easy to write. It does much less to help us establish whether those instructions are complete, whether th

A customer import creates a duplicate that looks identical to an existing record. A display name fails a length check even though the user can count fewer characters than the form allows. A reference

A .NET container uses 600 MB after startup, 850 MB by lunchtime and 1.2 GB by the end of the day. Someone calls it a memory leak and asks for a heap dump. The graph has established that memory use is
