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Unlike early iterations of foldables, which looked like vertical slabs, Apple adopted a wider form factor that could aid in a better aspect ratio while watching videos when the device is unfolded.
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TL;DR We open-sourced our theme engine, ProductData config schema, UI primitives, and docs We kept the Stripe webhook, license-grant fan-out, entitlement migrations, and admin routes private, perman
Every React Native developer has run the same experiment by now: point an AI agent at the codebase, ask for a feature, watch it produce something that compiles, and then quietly rewrite half of it bef
I open-sourced Kryzz AI: a private, local-first Android AI workspace for chat, voice, and tool-driven agents. Affiliation: I built this. MIT. The GitHub release includes a debug APK for sideloading (A
A skill with context: fork could not see a codeword we had planted two messages earlier, but it could see the passphrase in CLAUDE.md. Switch the fork to agent: Explore and CLAUDE.md is gone too, exc
TL;DR — Healthcare is one of the clearest cases for open-weight AI: HIPAA's Security Rule and PHI liability push clinical teams toward models they can run entirely inside their own network. This epis
❌ The Problem: Job Hunting is InefficientFor developers, manual job searching is a major productivity bottleneck. Spending hours scrolling through LinkedIn, Indeed, and corporate boards—only to read
Statusline started with a small interface detail I wanted to make more useful: Weekly limit: [███████████░░░░░░░░░] 53% left (resets 09:02 on 2 Sep) That line answers two practical questions:
If you want to run LLMs locally, I recommend using Ollama to manage model weights and serve a local API. While you will need substantial hardware—typically a minimum of 16GB of VRAM or an Apple Silico