Practical AI for builders. I test new AI tools and models and show what works, what breaks, and what it costs. Cloud Engineer. AI-assisted, human-edited.
clearcam adds object detection and tracking to any security camera, running locally with a small YOLO model.
I tested it on CPU in a container against a public tunnel camera. Setup took about 2.5 minutes, and the model download was only 8 MB. It ran at about 0.6 detections per second on 4 cores with 1.1 GB of RAM, and recording wrote about 5 MB per minute.
One catch: without a premium account it still sends alert notifications to https://t.co/WK64Qc6MAv by default. Change the notification URL in settings if you want it fully local.
Tip: install clang first. The README skips it, and it crashes without it.
https://t.co/9NBCEciDSr
Kandev is a kanban board for coding agents. Each task runs in its own git worktree, and you review the diff in the browser before anything ships.
I tested v0.97.0 in a container. One npx command installed it in 9 seconds, and the server was up in under a second. I plugged in a fake agent script that needs no API key, and it edited a file on its own branch while main stayed clean.
One catch: by default it listens on every network interface with no login, and its MCP server exposes 49 tools, including delete and settings changes. The server warns you about it. Turn on auth or keep it on localhost.
https://t.co/GKJ3PaEcCo
Anthropic-Cybersecurity-Skills is a library of 818 security skills for AI agents. It isn't made by Anthropic, the README says so.
I tested it. All 818 skills are real, and none of them are stubs. Then I ran the commands from two of them against the real tools. The Volatility3 Windows commands work, but the Linux one calls a plugin that doesn't exist. In the Sigma skill, 4 of 7 Python commands break on current pySigma.
Also, loading every skill's description into an agent costs about 70k tokens. Install only the domains you need.
https://t.co/oI2Nm2E0zJ
Ouroboros is an AI agent that rewrites its own code and keeps its memory across restarts.
I reviewed the repo before running it. The top contributor is the agent itself: an account called ouroboros-agent has 3,265 commits, more than 3 times its human author's 1,002.
It can run shell commands and scripts, use git and a browser, and start itself at sign-in. The docs say plainly that its tool layer is "not an OS sandbox", and an open issue reports that the Panic button misses sub-agent processes.
Interesting project. I'd only run it in a throwaway VM.
https://t.co/5JP4i1nvEr
f3d renders a 3D model to a PNG with one command, no GPU, no display, in about a second.
I tested it on 7 models, including an animated one. It's great for generating thumbnails in a pipeline.
Tip: plain OBJ files come out almost black unless you pass --color.
https://t.co/0G3d9S6tlH
slackdump saves your Slack history without needing admin rights.
I tested the offline part on a sample export. It's one 41 MB binary that installed in under 2 seconds, turned the export into a browsable HTML site in 49 ms, and ships an MCP server, so Claude can search your Slack.
One catch: the viewer shows mentions as raw user IDs.
https://t.co/InAe616WRv
Yesterday I reviewed designlang and it picked neon yellow as Linear's brand color.
So I dug in. It was ranking any bright color as "brand", and a big card link counted as a button. I sent a fix: Linear now comes out indigo, Stripe's text color is right, and all 687 tests pass.
https://t.co/5tyIevSe7R
ODS seems to be trending. One installer that sets up about 20 local AI services, including llama.cpp, Open WebUI, n8n and ComfyUI.
Before you run it, know that it published 5 security advisories this week. The critical one: the admin API was reachable without signing in.
The fixes are only on main, not in the v3.0.0 release, and the install script pulls main anyway.
Keep it on localhost.
https://t.co/xXBM2cnddK
I ran designlang on Stripe and Linear. Each site took 9 to 14 seconds and produced 35+ files, including an MCP server for Claude Code.
It got Stripe's branding right and Linear's completely wrong.
A useful starting point, but not a source of truth.
https://t.co/TTNCFY1wBn
I've been using Jev by @typesafeai Here's the six things i've tried and am confident I'll still use Jev for 60 days from now.
There's many more experiments, ideas, and things I think I will use it for. It's a big deal (more on why in next post).
But I am only sharing things that I am 99% sure will lead to stuff I will still be using Jev for in 60 days.
That means I started with small, boring, but useful, stuff.
- Fact-checking my scripts
- Ranking my news feed
- Finding the right text in PDFs
- Checking citations
- Grouping my review notes
- Figuring out why agents fail (eval over traces)
https://t.co/nWyMMfxIVi