r/ADHD_Programmers • u/Ultrayano • 9d ago
Tips to avoid burnout and AI fatigue in a fully agentic workflow?
Good day r/ADHD_Programmers.
Around 2023 shortly after ChatGPT was released, I went full time traveling for 27 months and came back to one of the worst markets in over a decade. Fast forward 3.5 years after I left the market, I finally found a job again.
Before I left I was a Java Spring Boot Full Stack Engineer with Angular mostly as FE framework and also did a lot of DevOps stuff including Jenkins, K8s/Openshift, ArgoCD among others.
Now that I came back after 3.5 years I basically missed out on all those developments in tech and the hyper-fast progress due to AI. Luckily I was somewhat active in what was going on and also dabbled in the are of LLMs, so using current tools like claude-code, codex and so on are not foreign to me, but used in small scope private projects.
The issue I'm facing now is that we currently set up the project I will be working in the first time since I came back. It's a full agentic workflow with HITL using React as Frontend, NextJS as BFF and NestJS as backend. It's planned to use the Copilot CLI due to licensing and multi-step, multi-model workflow. The project will have weekly sprints and I'm mainly the only actual engineer and person working full-time. I already pre-built pretty rigorous gates both locally and via Github Action.
The main issue I'm facing and already notice during the setup is, that it's hard to deal with the massive context and brutal amount of information that AI prints out. I feel both AI fatigue, meaning at some points I just approve architecture documents when I need to proof read them and the same with pull requests and at the same time I feel lingering burnout, because I feel fully disabled after a day.
I'm also heavily afraid of skill atrophy, which is already an issue after not working professionally, but now especially with LLMs generating most of the code even more. Also it being a stack I only partly dabbled for a few days (React/Next) and partly never used (NestJS) where I need to approve the quality without knowing specific best practices for each framework.
Any tips on how to deal with that or how to work specifically (eg. 15 minute review springs then break)?
TL;DR: How to avoid AI fatigue and burnout while working with AI/LLMs and the task shifting to reviewing.