AI Local Apple Silicon project
Always on the lookout for some AI local options and this project got my attention:
Always on the lookout for some AI local options and this project got my attention:
Another great Beyond Coding interview AWS Veteran: The New Software Development Life Cycle - YouTube.
The most practical takeaway is Lessa’s model cost discipline. After a single refactor cost 200 million tokens because Opus was “overthinking” every line, he split the workflow into three tiers:
Tier 1 — SOTA models (Opus, Sonnet): planning, spec writing, architecture decisions only Tier 2 — Mid-tier models: 70–80% of implementation work Tier 3 — Cheap models: code review, linting, adversarial checks
Lovely write-up by MetaBureau: Deno, pnpm, and Moonrepo in One Monorepo | MetaBureau Blog
See the mvp here: Reset Tracker
I’m building my new custom low-profile 38-key (3x6) -2 +3 thumbs - but I need to solve a problem I’ll hit.
My Piantor is configured with Vial / QMK with
The mac internal keyboard has no layers and minimal special functions.
The workaround so far: switch input source to Colemak-DH when on laptop with internal keyboard and to Australia when using the Piantor split keeb. Lots of down-sides:
I’ve researched most of this before, I’ve tried Karabiner-Elements but I didn’t want the complexity of the kernal extension. I’d come across kanata, saw it needed that as a dependency and wrote it off.
A chance Gemini / Google AI mode question put me onto the path that let me rediscover kanata and how it can depend on the karabiner device-kit architecture.
The result is I have a working base kanata configuration with qwerty (for others/troubleshooting) and colemak-dh. Keeps my Aerospace shortcuts same for either layout. I’ll continue to add the additional layers and combo keys I have from vial.
This enables me to try Sturdy / Magic Sturdy regularly till proficient - when working
It’s not 100% smooth, I’ll keep testing out and find any other issues. E.g My Arc shortcuts aren’t working.
Continual probing of AI helps us explore the problem space and solution space quickly to eliminate sub-par paths and save time. I re-discovered a major problem worth solving (the issue was back of mind) it can help find the path to follow before commiting much time.