Tested GPT Image 2.0. Got a pirate holding a compass.
Speaking of compasses.
I ranked 12 database models across 8 dimensions. Vector DBs came in 𝟭𝟭𝘁𝗵 out of 12.
Your AI stack is running on the second-worst database model by the numbers.
Fight me. 🏴☠️
https://t.co/1WIwTByShk
The more I use AI coding tools daily, the more I think about Dark Code. Production code that runs fine, but no one on your team can actually explain.
AI didn't create this problem. It removed the guardrails that slowed it down.
I put my thoughts down in a blog.
https://t.co/fdtgEKTiy8
Updated Claude Code Guide, now 14 comprehensive chapters.
3 new: Plugins, Agent SDK, Computer Use
5 rewritten: Auto Mode, 1M-token context, 24 lifecycle hooks, enterprise governance, 6 permission modes
New interactive cheatsheet included.
From first install to org rollout, zero fluff.
https://t.co/CaAITm4RUe
"Missing images hurt more than bad code", that needs to be a t-shirt.
v1.4's split: `kinder doctor` flags missing addon images before you run create cluster. `--air-gapped` fails in <1s with the complete list instead of hanging 5 min on Docker pulls.
Pre-flight, not mid-deploy.
Trying to fix the pains of KIND with Kinder.
Ever tried spinning up a local K8s cluster on a plane, only to watch it hang 5 minutes before failing on a Docker pull timeout?
Just shipped kinder v1.4 "Cluster Capabilities".
One command. Every addon you actually need. No internet required ↓
Zero new dependencies. Works w/ Docker, Podman, Nerdctl on Linux/macOS/Windows.
Install:
brew install patrykquantumnomad/kinder/kinder
GitHub: https://t.co/eUWEVVkX7e
Docs: https://t.co/EV9ST6qkoe
What's the worst part of your local k8s dev loop?
kinder doctor now runs 23 diagnostic checks, up from 18.
Catches kernel limits, AppArmor interference, subnet clashes, version-skew drift, and a new CVE-2025-62878 check for local-path-provisioner.
Before you break your afternoon debugging ↓
What's the difference between AI and ML?"
My favourite question. I've answered it 100+ times.
However, not everyone has an engineer to ask, so I built a visual map anyone can explore. 🧵
#AI#MachineLearning
@javarevisited Redis supports document, graph, time series, and vector search models. It’s not just a cache, it is a database. Going beyond the cache assumption Redis could be used as primary durable database.