This talk on the Netlify CLI is good
www.youtube.com/watch?v=Zueo...

Have you seen www.graze.social

It might be one way to dip your toe and then proceed.

I’ve done some tinkering on Bluesky. I’ve been told the firehose can effectively be consumed on a Raspberry Pi, but I haven’t setup one of my own Raspberry Pi devices to test this theory.

4/
- Garbage in, garbage out. Wire it up to interesting data and integrations.
- If a compound system has LLM-level intelligence in the middle, something akin to AI evals are often required to test the overall compound system performance too.

3/
- Much of what we reason about is recent, but LLMs have knowledge cutoffs. Pack your context with all kinds of recent knowledge.
- As software components with downstream effects, either insert LLMs where error is contained (ie. retry priority), or create suggestions for a human to accept.

2/
- API costs can add up fast. The simpler models and local models are very capable. Don't pay tolls if you don't have to.
- Orchestration can be done with things like functions and coroutines. Orchestration frameworks have a lot of downsides.

1/

Some of my AI learnings:

- Vectors can be stored in a lot of places. Vector databases have a lot of downsides.
- Many embeddings can be instruction-tuned. You can fine tune via a special textual prompt on top of the user prompt.

2/ It's simple to achieve setups where a pair of headphones plays music and another pair can work only with meetings and videos. Applications like soundboards, effects layering, and voice chat setups are now straightforward to create.

One of the best software books is about this topic. Check out Stanford Prof. John Ousterhout's "A Philosophy of Software Design". He has this idea of deep modules, and uses the OS filesystem APIs as an example of a tiny interface with a powerful engine. I recommend it.

Pepperidge Farms remembers when whole swaths of the internet staged blackout protests over this.

I'm curious about the idea of slack in the system. Can you quantify or add more detail about how hard people are pushing in high performance scenarios?

Reading Bertin feels like taking your thinking from 8-bit to 4K over the course of a few weeks.

Just switched my blog from Ghost to Astro on Vercel and it was a half-day exercise. They've really done an amazing job with it.

I bought them as pomodoro timers, but I just really like the visual cues and fidgetability for a tad more timeboxing and nag in my life. Well that was the 3 minutes I gave myself for this skeet--nice chatting!

Exactly. And I only see this getting better as more people make high quality custom feeds.

My new favorite life hack are these timer cubes. Flipping a cube is much faster than fumbling in an app. Use them for cooking, meetings, reminders of upcoming things. Super handy.