Ingo Steinke is a Berlin-based senior web developer focusing on front-end web development to create and improve websites and make the web more accessible, sustainable, and user-friendly.
You might add greenwashing. The automated audit tools put a green check mark for supposedly green hosting on so many websites that run on international clouds unlikely to use no fossil fuel in any country. You might also add micro-optimization. Audits like lighthouse / page speed insights always have some nitpicking left, including dubious advice that might backfire, and so do some manual optimization checklists. And as others already said, "modern technology" like SPAs and AI can also rebound and waste more energy than it will ever save.
Nothing is perfect, and there will be always biases. You might skip or one two things. The same will happen in anything in our world. I remember when I was in charge of building the first recommender system for taxes in a company. In some countries, a bottle of soap had many things to be taxed and in others fewer. Therefore, some countries were greener and others less clean. However, I won't jump to the conclusion that is full greenwashing. If you can minimize your code and make it faster, then it's saving resources, therefore, it's cleaner.
About SPAs and AIs, you're mixing two topics as one. In my analysis, I considered SPAs more efficient mainly for complex apps. I didn't build my website with Angular or React, and I don't think it will be a good practice since it's not a complex app. It has a certain complexity since I create many things dynamically, but I don't have multiple pages, log-ins, etc.
When I spoke about AI or LLMs, I focused on how GitHub Copilot or ChatGPT can help you identify code that can be optimized faster. Visual Studio for example has a powerful feature called Intellisense. It was introduced decades ago. It analyzes all your files and helps you remove redundant code while optimizing it. What's more, you don't need all files in one to analyze (if all is correct). This is where I can see LLMs can help you. Let's say you have a large website, how do you know where you can optimize something? At least, I don't everything about JS or CSS (especially yearly changes), there might be something I'll forget or it can have a considerable impact, but I didn't care about it. Not optimizing this code can have considerable consequences if your website has a large traffic. The less technical debt we have, the more efficient it will be.
For further actions, you may consider blocking this person and/or reporting abuse
We're a place where coders share, stay up-to-date and grow their careers.
You might add greenwashing. The automated audit tools put a green check mark for supposedly green hosting on so many websites that run on international clouds unlikely to use no fossil fuel in any country. You might also add micro-optimization. Audits like lighthouse / page speed insights always have some nitpicking left, including dubious advice that might backfire, and so do some manual optimization checklists. And as others already said, "modern technology" like SPAs and AI can also rebound and waste more energy than it will ever save.
Nothing is perfect, and there will be always biases. You might skip or one two things. The same will happen in anything in our world. I remember when I was in charge of building the first recommender system for taxes in a company. In some countries, a bottle of soap had many things to be taxed and in others fewer. Therefore, some countries were greener and others less clean. However, I won't jump to the conclusion that is full greenwashing. If you can minimize your code and make it faster, then it's saving resources, therefore, it's cleaner.
About SPAs and AIs, you're mixing two topics as one. In my analysis, I considered SPAs more efficient mainly for complex apps. I didn't build my website with Angular or React, and I don't think it will be a good practice since it's not a complex app. It has a certain complexity since I create many things dynamically, but I don't have multiple pages, log-ins, etc.
When I spoke about AI or LLMs, I focused on how GitHub Copilot or ChatGPT can help you identify code that can be optimized faster. Visual Studio for example has a powerful feature called Intellisense. It was introduced decades ago. It analyzes all your files and helps you remove redundant code while optimizing it. What's more, you don't need all files in one to analyze (if all is correct). This is where I can see LLMs can help you. Let's say you have a large website, how do you know where you can optimize something? At least, I don't everything about JS or CSS (especially yearly changes), there might be something I'll forget or it can have a considerable impact, but I didn't care about it. Not optimizing this code can have considerable consequences if your website has a large traffic. The less technical debt we have, the more efficient it will be.