I think it is clear that planning before coding is generally a good idea - it's true for human developers and even more so for AI agents. The question now is more: what is the right way for an AI agent to form a plan and share it with the user? Maybe the dedicated plan mode in the agent harness is no longer needed, but I would like to make very sure that the AI agent has a plan upfront and that this plan is compliant with my requirements, my general expectations and that it is consistent and clear.

This article is also a nice visualization on why spec-driven development has not lived up to its promises.

I have zero interest in manually creating software for solved problems - no text editors, no games, no utility tools. I like to write software for new problems and I love to solve these problems using code. I am not keen on typing source code by hand. If an LLM helps me speed up code creation, I will happily use it, because it allows me to solve my (business) problem faster. We are talking about efficiency here. If other people like writing code by hand and enjoy it, good for them. But don't complain that your hobbyist approach is unsuited for your career.

How are games a "solved problem"? If you're talking about games as entertainment then is not a "problem" to solve, they're games. If it's the tech you mean, then that problem is not solved either, if anything it's become even more important to try to squeeze performance out of ever pricer hardware

Although I read that this web site was made using AI, I still feel entertained by it. The topic requires precise language and that's something that an LLM is surely excelling at. Yet I feel that the concepts in the text are a bit repetitive; the write-up could have been shortened a bit.

From the bottom of the article:

> No AI was used to generate the text for this article. The cover image and the voiceover in the audio version of the article is AI-generated. The cover image is made using Google Gemini’s latest image model while the voiceover uses OpenAI’s tts models.

Consent-O-Matic is a bit of an edge case because their last update was more than a year ago and their Github repo looks pretty dead. This makes me not really trust it anymore.

Why did you buy such a card in the 90s? Of course you wanted to play Doom or Duke3D with your buddies!

And to share the broadband cable internet with the neighbors across the street!

What do you think all those IT engineers who were made redundant in the last months are doing? Some of them might prefer founding a start-up to joblessness. It's not the first time that a job market crisis increases the rate of start-up registrations.

I really appreciate how Mars Incorporated is actively weaning people off sugar ;)

I haven't lost faith in my career and I've been an IT specialist all my life. AI will elevate my game to a new level. I see zero evidence that it will make me redundant in any way. I guess the role of IT will shift - specialized tech companies are less important, while business use of IT will thrive. (Yes, the code-monkey style of work will disappear, but nobody is going to miss this anyway, I hope)

It's always good to see improvements around WSL2, but especially this one is not so relevant IMHO, since it only affects WLS2 file access to Windows file system. If you store your dev environment in WSL2 anyway, this won't help you.