My 2 cents. It's when OKRs are executed without a vision, or the vision is that one and well, it sucks.

The goal is AI everywhere, so this means top-down everyone will implement it and will be rewarded for doing so, so thrre are incentives for each team to do it - money, promotions, budget.

100 teams? 100 AI integrations or more. It's not 10 entry points as it should be (maybe).

This means for a year or more, a lot of AI everywhere, impossible to avoid, will make usability sink.

Now, if this was only done by Microsoft, I would not mind. The issue is that this behavior is getting widespread.

Things are becoming increasingly unusable.

Spec driven development is a good idea, but the current implementations are trash because they hand off markdown files to an agent who might as well be wiping its ass with them for all the reproducibilty you get. If you're going to have agents generate specs they should be structured and transformable via code gen in to actual stub code and tests. It's only a little bit more work than unstructured markdown specs, saves a bunch of time in terms of boiler plate generation and gives you very high reproducibility.

The Claude and Obsidian combo is great. You can offload all the hard parts of managing the workflow to the robots. I've taken to analyzing my daily notes—a stream-of-consciousness mind dump—for new Zettel notes, projects, ideas, and so on. Gemini does just fine, too, though.

The metaverse will happen, IMO. The tech is just not there, yet.

Even if it turns out to be wasted money, which I doubt, he's still sitting on almost 2 trillion. Not an L on my book.

If you enable it in permissions, Claude is very happy to do so. For personal fun/experimental projects (usually I give it arXiv papers to implement), I generally have a couple Claude instances (on different projects) just chugging along all day. I have them write really detailed plans at the start (50-100 steps in the implementation plan, plus actual specifications for project structure, dev practices, and what the actual goals are). I iterate on these plan documents by having Claude write QUESTIONS.md which has dev questions for me to clarify, which I fill out with answers, and then instruct Claude to update the plan docs with my answers. Then most of my interaction throughout the day is just saying something like "P18" to implement implementation plan step #18. I instruct it in CLAUDE.md to stop after each step, output what automated tests have been written for P18's features, and I require that the LLM write a demo script that I can run that shows the features, using real APIs. I'm having a great time with it.

I have traded within a quite tight comp band for my entire 30 year tech career. I am useful in general. I have been valued by being offered "promotions" and "strategic instead of tactical" positions, but I always chafe.

I enjoy the work. I enjoy solving specific problems in tech.

I do not enjoy the "business" of tech and have no interest in any of it.

I definitely have inadequate drive to grow a business and make others wealthy, even if I get a few crumbs.

For me, contracting is the perfect match. I don't need to get involved in your politics, I just need to eat jira tickets. Realiably and well. When there are none to eat, I can go do my own things.

I would need to care a LOT more about the business and dollars to excel at it, and lately I lean in the opposite direction. I see nothing wrong with simply being comfortable and useful. We have it good that we can make this choice.

$0.02 :)

Not scraped. HN itself publishes a live dataset to bigquery. The product is meant to connect to your own database but I thought this was fun to connect to hn

It’s amazing how every single point you’ve made here is wrong as the other commenter already dove into. On top of that Anki is one of the best documented pieces of open-source software I’ve messed with. If you’re able to program, ChatGPT can basically handle any task you want it too, I data mine the sqllite database regularly for my own insights.