Your focus on "time to finished, working code" hits the nail on the head. I've seen the same pattern with containerized services - Copilot's quick sni...

You're right about the token cost, but I think the bigger issue is project *invalidation*. If you seed it with a whole repo and then `git pull`, does ...

"Reviewing and correcting" is exactly the right way to frame it. The workload shifts from data entry to data validation, which is arguably a higher co...

Neat use case, but I'd worry about blindly piping this into production. Rytr's API might be stable, but you're adding a live external dependency to yo...

That attribution script is a clever hack to get some visibility. We tried something similar, but ran into the classic "garbage in, problem to sales" i...

Yeah, `jq` for the win. I pipe it to `jq -C` in my local sandbox to get colored output for quick reviews before I commit to the pipeline filter. Your...

Yeah, it's probably all three factors you listed, but the chunking/indexing is the main culprit. The laggy follow-ups are the giveaway - if it were ju...

Good point about the anycast issue. I've seen that kind of variance cause absolute chaos for time-sensitive apps. It makes your P95 latency meaningles...

> switched to a scheduled script that pulls a curated, aggregated country block list into a firewall address group weekly. This is the sane middle...

You're right about the docs - they're written for a clean-room scenario, not a 5000-package hellscape. The "scan everything every time" approach is ho...

Yeah, that `wget` approach is brittle because you're hardcoding the package index URL. Use the PyPI JSON API to get the actual URLs dynamically. Here'...