1. **Analyze the Request:** * **Role:** News summarization expert. * **Task:** Summarize the provided article concisely. * **Constraints:** * 2-4 sentences long. * Focus on the most important information. * DO NOT copy-paste. * DO NOT just restate the title (add new info). * Language: English. * **Input:** Title ("We need fewer wasted brain cycles") and Article Text (Wait, the "Article Text" section in the prompt is empty or cut off? Let me check the input again). *Input Check:* Title: We need fewer wasted brain cycles Source: hackernews Article Text: We need fewer wasted brain cycles Summary: *Correction:* The prompt *only* provides the title as the text content. It seems the user made a mistake or the system truncated the article. However, looking at the prompt structure, it says "Article Text: We need fewer wasted brain cycles". It seems the *entirety* of the article provided is just the title repeated, or perhaps the user forgot to paste the actual body of the article. *Re-evaluating based on the prompt provided:* The prompt *claims* there is an "Article Text" section, but the text following "Article Text:" is just "We need fewer wasted brain cycles". This looks like the title is repeated as the body, or the body is missing. *Self-Correction/Safety:* If I strictly follow the instructions based *only* on the provided text, I can't summarize an article that isn't there. However, I should look for context. "We need fewer wasted brain cycles" is likely a blog post or essay. *Wait*, looking at the prompt again carefully: "Article Text: We need
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[ Skip to content ](https://yusufaytas.com/stop-wasting-brainpower/#content) ### [Yusuf Aytas My Thoughts on Tech, Life, and More ](https://yusufaytas.com/) ### [Yusuf Aytas My Thoughts on Tech, Life, and More ](https://yusufaytas.com/) * [home](https://yusufaytas.com) * [contact](https://yusufaytas.com/iletisim/) * [about](https://yusufaytas.com/hakkimda/) * [](https://yusufaytas.com/stop-wasting-brainpower/) [ ](javascript:void\(0\)) [](https://yusufaytas.com/stop-wasting-brainpower/) * [home](https://yusufaytas.com) * [contact](https://yusufaytas.com/iletisim/) * [about](https://yusufaytas.com/hakkimda/) * [](https://yusufaytas.com/stop-wasting-brainpower/) [ 2025-10-03 ](https://yusufaytas.com/2025/10) ### Stop Wasting Brainpower How many times have you found yourself saying: “I worked all day, but I didn’t get anything done.” I know, we have all been there. We feel bad about it, too. On the surface, it looks [busy](https://yusufaytas.com/work-life-balance-as-a-manager/). Your calendar is full, Slack is notifying you, and your todo list is endless. There’s no shortage of movement, and yet, strangely, very little progress. If you’ve ever felt this way, you’re not alone. I wish it was as simple as laziness or [poor time management](https://yusufaytas.com/simple-task-management/). What’s actually draining us is cognitive load. Our brains aren’t running on infinite RAM. They choke on noise, interruptions, and the dumb complexity we keep piling on. Psychologists define it simply: our working memory is limited. Every task we take on eats into that limited space. Some load is necessary. The actual problem we’re solving. But most of what burns us out isn’t the work itself, it’s the extra baggage: the clutter in messy codebases, the endless notifications, the scavenger hunts for configuration files, the thousand tiny decisions that drain mental bandwidth. This is [Cognitive Load Theory](https://theeducationhub.org.nz/an-introduction-to-cognitive-load-theory/): once your working memory is maxed out, your brain slows down, mistakes multiply, and frustration goes through the roof. In engineering, the results are obvious. You get slower delivery, more bugs, and [inevitably more incidents](https://yusufaytas.com/promoting-learnings-in-incidents/). Once your head’s full, everything falls apart. You think slower, screw up more, and stop actually learning anything.  ### A Quick Primer Before we go deeper, let’s pause for a short detour into psychology. Cognitive Load Theory (CLT), developed by John Sweller in the 1980s, is one of the most widely researched frameworks in learning science. The idea is simple but powerful: * Working memory is limited. We can only hold a handful of elements in mind at once. * Long-term memory is vast. Expertise comes from building patterns and schemas we can draw on automatically. * Overload kills performance. When working memory is saturated, thinking slows, mistakes multiply, and learning or problem solving stalls. CLT divides mental effort into three types: * Intrinsic load – the natural difficulty of the task itself. * Extraneous load – the distractions, noise, and bad design that add unnecessary effort. * Germane load – the “good” effort we invest in building deeper understanding. Hundreds of studies in education and psychology confirm what we feel every day: when extraneous load dominates, your performance starts to suck. When intrinsic load is managed well and germane load is supported, you not only complete tasks faster but also understand systems more deeply. So why does this matter for engineering and management? Because codebases, workflows, and team structures either respect these cognitive limits or abuse them. Once you look at your daily work through the lens of CLT, the pain points become obvious: bloated systems inflate intrinsic load, constant interruptions pile on extraneous load, and little bandwidth is left for germane load. ### Intrinsic Load Every task has a baseline level of difficulty. Debugging a [concurrency](https://yusufaytas.com/state-is-no-good/) bug? That’s just hard. Learning a new system? That takes effort. This is the intrinsic load. Your mental effort that’s required from the work itself. You can’t eliminate it. But you can either keep it clean, or pile on unnecessary complexity until the “hard stuff” becomes damn near impossible. Healthy systems keep intrinsic load proportional to the problem. If I give a new engineer a ticket that requires adding a new field to a form, they should touch two or three files, wire it up, and push it through the pipeline. Done. Nonetheless, in most messy systems, that same simple ticket explodes into ten files scattered across frameworks. Front-end components here, backend endpoints there, business logic hiding in helpers no one has touched in years. By the end, you’re not even solvin