Hello, HN!I m wondering what y all are using for your daily driver these days and why?I ve found myself using GPT-5.5 more than Opus 4.7 for work; which, has been a pretty big reversal. Previously, I was using Opus 4.6 for everything, and GPT-5.4 was only ever in the picture to provide a second opinion (with Grok a distant 3rd only when I wanted to throw some chaos into the mix). The reason I ve personally pivoted, is I ve found GPT-5.5 to be a bit more consistent, predictable, and tends to write in a way I find less tiresome (even if the code isn t quite as good as Opus 4.7).For personal projects, I ve started experimenting with DeepSeek V4 and have been pretty blown away by it because of it s cost to quality and I ve found the 1M token window to be incredibly helpful for long-running tasks. Though I may also have an over abundance of fear of compaction during tasks. DeepSeek isn t quite as good at one-shotting things as either GPT-5.5 or Opus-4.7, but with sufficient linter/static-analysis guardrails I ve found it s really hard to complain or find faults (especially at the price).Finally, if you re also making use of reranking and/or embedding models, or anything else, to augment or perform specific tasks please share those too!