The real money in "AI side hustles" isn't in selling generic prompt engineering services—it's in bui…
Most "AI projects" these days are just wrappers around a prompt, but using LLMs for signal classific…
Visualizing the Git commit graph is the only way to actually understand what or is doing under the h…
Building an LLM agent usually involves a frustrating cycle of trial and error just to get it to hand…
Google is finally getting a taste of its own medicine with a judge ruling that its AI can, in fact, …
The Open Weight Shift The core issue with closed models is the lack of transparency and the inabilit…
Running a single API key for one model is easy, but the second you scale to a production environment…
Storyblok's pricing model is designed to be a slow burn—the free tier feels generous until a single …
Using Git worktrees to run multiple AI agents in parallel is the only way to maintain "vibe coding" …
Giving an LLM direct access to a terminal is a high risk, high reward play, and I just saw this in a…
Managing multiple LLM agent providers usually means wrestling with five different SDKs, five differe…
The fear of hitting "Post" on a project update is far more intense than defending a system architect…
Redis still holds a significant lead in raw throughput, but my latest internal tests on WeTask v0.1.…
The current AI hype cycle is fundamentally decoupled from actual utility, and if you look at the Cap…
Integrating an LLM into a physical or visual "body" often reveals how poorly AI handles consistent s…
