mcapodici

Docker question. Who prefers docker for local dev vs. run the thing directly. I usually prefer run the thing for debugging and hot reloading. Sure: build the containers and test them in CI. Dependencies like PG sure run in containers as they change less often and you save the install.

Working code that people pay to use is of course an asset. If it is a liability then just delete it all an have no source code an you just paid off a debt for free.

I wonder if it is almost like writing. In that to make the diagram that communicates well you need to have solved the problem properly.

They outsmarted you!

Sounds cheaper than AWS :)

Most of my connection issues are between the street and my computer, I don't think Cloudflare got there. Yet.

Yes and then the choice is run it and forgive it, or, stop the process midway.

If you stop then you have to decide whether to charge for uncompleted work.

Interesting tradeoffs.

For very small ops e.g. individual Lambda invocation you have similar concerns especially if lots are fired at once from a queue or schedule or fanout.

I don't use memory. I am really not keen on the idea of having this hidden context fed into the LLM, and I prefer to use docs, both markdown and stored in a wiki like Confluence. Using repos and wikis also lets you scope the information so hyper-specific memory doesn't affect other projects.

If I want the LLM to remember something I ask it to update some docs, and even check that docs are consistent across the board after doing so.

The only thing I want the LLM to remember everywhere is talk like a human (no load-bearing, not this/that etc...), so I have an AGENT.md for that.

Use instead:

   npx skills add mattpocock/skills --skill=grill-me

or

   npx skills add imbue-ai/blueprint

Or anything similar.

1052 pts on HN. I'd say they are pretty good at marketing actually.

While they may not initially done well they are certainly riding this wave.