{
  "video_id": "reddit_1uq2ouy",
  "channel_slug": "LocalLLaMA",
  "channel_handle": "r/LocalLLaMA",
  "title": "local already feels good enough",
  "url": "https://www.reddit.com/r/LocalLLaMA/comments/1uq2ouy/local_already_feels_good_enough/",
  "external_url": null,
  "upload_date": "20260707",
  "published_at": "2026-07-07T17:58:34+00:00",
  "transcript": "This is specifically for coding, technical planning, and hardware setup. \n\n\\_\\_\\_\\_\\_\n\nThe only times Qwen 3.6 35B A3B has let me down, it has been something that is resolved with a workflow/discipline improvement.\n\nIf I go through and take the time to get the proper set up with a sound plan, it hasn't skipped a beat. It doesn't struggle at anything if it has the proper tooling, direction, and context.\n\nAt this point are we just getting spoiled and wanting the LLM to read our minds? Is everything past this point just enabling laziness?\n\n\n\n--- Top Comments ---\n\n\n[40 upvotes] Harnesses are everything\n\n[31 upvotes] Same here - I use the 35B too, because it's accurate *enough* for the speed. I'm not looking for something that replaces my brain, I want a tool that can make my brain's work a bit easier. For that, 3.6 35B is easily enough.\n\n[17 upvotes] Damn, I wish I could say this... I don't think my Qwen local instance is up to par with Codex 5.3 medium yet.\n\n[16 upvotes] The point of LLMs is to be \"lazy,\" as you put it. If I need to bend over backwards to get AI to do what I want then I'll just do it myself. I don't know why you wouldn't want an LLM to effectively read your mind; the opposite is just inefficiency by a different name. \n\nFor coding, small models are nowhere near enough. They are no longer toys, sure, but they still fail; just in more subtle ways. If I had to code with nothing but Qwen3.6 27B (I can run it at full precision and 256k context) I would probably just not use AI for most tasks at that point as I'd waste as much time checking the AI's code than actually doing work.",
  "transcript_chars": 1613,
  "ingested_at": "2026-07-08T01:30:26.279268+00:00",
  "source": "reddit",
  "yt_meta": {
    "score": 84,
    "upvote_ratio": 0.87,
    "num_comments": 75,
    "author": "Forward_Jackfruit813",
    "is_self": true
  }
}