Fannon

That's an interesting observation, and that's also my feeling: Everything is now expected to move so fast, dropping quality bar to 80% or below is not uncommon.

Not like this is the fault of the AI progress, we could use AI to go beyond the quality what we used to deliver, too. It's just the pace expectations that are now "in the room" ?

Very nice, thanks for creating this!

> The system we want, where the octave is pure and the fifths are pure and everything closes into a neat loop, does not exist and never has. Every tuning system in history is a different choice about where to dump the error.

Maybe a complement. A well designed software ideally makes it easy for developer to contribute and avoid errors. It includes a lot of system / structure and documentation that ensures nothing gets broken or overlooked.

In such a context also a coding agent has it much easier. But establishing that or adding something beyond what's already safely established, here high intelligence models really pay off

I tried this actually and wasn't so happy with the results. First you search / index twice and that will cost. You'll have to wait for the slower of the two as you don't want to reorder after already showing the user.

You'd need some scoring where precise hits get better score than those only found by fuzzy search. With that it's maybe acceptable, but I personally preferred just being able to switch it easily/quickly when needed and by preference.

If I needed something like this, my first try would be to take a MIDI / DAW controller like Novation Launchpad Mini Mk3 and write a script for it.

This would be cheaper, much more versatile and customizable I bet. Many MIDI / DAW controllers can be "programmed" via MIDI IN/OUT, e.g. how to light the pads.

While I got me a 16GB Macbook Air, I appreciate that Apple continues to make 8GB devices. This indicates for me also a commitment for not bloating up the OS (like Windows did) too much and caring about memory efficiency.

I'm not surprised if this is true to a wide degree (not fully).

What the people that predicted that AI will change productivity drastically in just a year or two imho underestimate: Just because a technology is capable of this in theory (and I think it is, even today) - it doesn't mean we are willing or able to deploy it to its full potential at scale. There will be a few individuals and very few companies which will do so or come close.

For most of the companies, they're still doing a lot of processes manually that could have been automated with 80s technology. Why should a change in the technology suddenly make everyone change their mindset, culture, way of thinking? This may take 1-2 generations to more fully form. Maybe that's also better: Slower change is less destablizing for society / individuals, I think of it more like a defensive mechanism of the system to keep it stable.

I'd be interested in how you setup those repos for non-coding tasks, thanks for sharing!

This is interesting. Also "Discover tools on-demand". Are there any stats or estimates how many tools an LLM / agent could handle with this approach vs. loading them all into context as MCP tools?