A really interesting point that keeps coming up in discussions about LLMs is “what trade-offs need to be re-evaluated”

> I also believe that observability is up for grabs again. We now have both the need and opportunity to take advantage of it on a whole new level. Most people were not in a position where they could build their own eBPF programs, but LLMs can

One of my big predictions for ‘26 is the industry following through with this line of reasoning. It’s now possible to quickly code up OSS projects of much higher utility and depth.

LLMs are already great at Unix tools; a small api and codebase that does something interesting.

I think we’ll see an explosion of small tools (and Skills wrapping their use) for more sophisticated roles like DevOps, and meta-Skills for how to build your own skill bundles for your internal systems and architecture.

And perhaps more ambitiously, I think services like Datadog will need to change their APIs or risk being disrupted; in the short term nobody is going to be able to move fast enough inside a walled garden to keep up with the velocity the Claude + Unix tools will provide.

UI tooling is nice, but it’s not optimized for agents.

Do you have any example repos of these OSS projects? I'm being reminded of this post every time people keep extolling how "productive" LLMs are:

https://mikelovesrobots.substack.com/p/wheres-the-shovelware...

Where is the resulting software?