I Think I Have LLM Burnout

July 8, 2026 I use LLMs a lot. By current dev standards, my usage rate is probably average, and my methods are probably primitive. I work on one task at a time and discuss it with Claude Code (at work) or Codex (at home, for now). Sometimes, I let the assistant write code, but I read the output thoroughly, understand it, and revise it. I’m not in the deep end of autonomous agents or agent orchestration. Still, I spend hours each day interacting with LLMs across work and home. That’s a hell of a lot more than I did a few years ago, and I probably don’t go a day without reading AI-generated text. My job has changed from designing and writing code to designing code, describing the design to an LLM, reviewing code the LLM produces, and then finally writing code. The LLM steps expose me to approaches I might not have considered or been aware of. I also feel more comfortable in areas where I don’t have deep knowledge. My main project right now is to establish a framework for large-scale, unsupervised code generation in our codebase. When I’m not working with Claude to create tooling, I’m sifting through the unsupervised agent’s (Qwen’s) output. Either way, I’m reading LLM content. If I want to know something, I’ll probably ask ChatGPT or read Gemini’s overview unless I know what sites I want to check. I still have to fall back to browsing when the LLM’s answer is wrong, but it’s good enough for many casual queries, especially when useless AI-generated articles clutter the search results. It’s been this way for about a year, and I don’t see myself stopping. I feel more productive with LLMs, and I think continually learning how to use them effectively is valuable. However, my disposition has changed a bit in the last few months. Some small part of me has started to dread reading LLM output because I know what I’m going to find. False assumptions and hallucinations. Emphatic, staccato fragments. ✨ Excessive emojis 🚀. It’s not just me—these are real patterns (🤮). On their own, none of these annoyances gets to me. Together, though, they’ve gotten me sick of LLM writing in a hurry. I’m not trying to condemn LLMs. Humans are fallible, too—we can be just as unreliable or annoying. The problem is repetition. LLMs write in the same style, and they make the same kinds of mistakes. Dealing with the same thing over and over is wearing me out. I can use personalization features if the interface offers them, but some idiosyncrasies seep through. And of course, I don’t control the style of content generated by other people. I don’t know how to deal with this feeling yet. I didn’t expect to be so bothered by it. Frustration at a flaky tool is understandable, but the writing patterns grind my gears, too. For now, I’ll grit my teeth and hope I don’t lose my lunch.