Everyone has a take. Here's mine. I'm sorry in advance.
In distributed systems, eventual consistency means the data gets there, just not all at once. Careers work the same way. This is my account as we leverage AI more in our day to day workflow, rethinking what good software actually means, and figuring out what leadership looks like when the ground won't stop moving. No clean answers. Just the work.
Context windows are continuing to grow to 1M+ tokens. Teams are stuffing entire document sets in and skipping proper retrieval pipelines. It works in demos. Here's what breaks in production.