With spring on the way, it's time to throw the windows open and get a fresh start. For the past two years, Amazon has launched its Big Spring Sale, a now annual event that brings major markdowns to warm-weather items ahead of the new season. While Amazon hasn't provided an official announcement for its 2026 spring sale, we suspect that it's coming soon.
Testing told me I used ~3,500 bytes for each frame - at 10 FPS, that’s ~35 KB/sec. While a nice T1 line could handle that, it’d easily saturate a 56k modem. And supporting even 1,000 clients would mean pushing 35 megabytes a second - way too much!
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I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule: