Supplementary sections to add to the main
yt-dlp-guide.md.
Discover gists
AI agents are amplifiers. If you're good at your job, agents make you better. You do more great things, faster. But if you're bad at your job, agents amplify that too. Where you used to cause a slow trickle of shit, now you have the means to unleash a full-blown shitstorm, at scale, in minutes.
Now, AI is all the rage these days, and for good reason. So of course people are using agents to manage real resources: infrastructure, databases, applications, all of it. The question is what happens when they do. That's what we're looking at today: an agent managing actual cloud resources, what goes wrong, why it goes wrong, and what it takes to make it work properly.
git clone https://github.com/vfarcic/infra-with-aiEvery repo from my series, newest first. I keep this same link updated — save it.
Follow me on Instagram for the next one: @angelotrifanoff.ai
Importing net/http/pprof adds HTTP endpoints to serve profile files that can be viewed or charted with a command line tool when the runtime.Set* functions are executed.
import _ "net/http/pprof"
If your application is not already running an http or https server, add net/http to the program imports and the following code to the start of the main function:
go http.ListenAndServe(":8000", nil)This solution is based on @NooruddinLakhani's Medium post Resolved “FFmpegKit” Retirement Issue in React Native: A Complete Guide. I'm not very familiar with iOS and Android build processes but I was able to use LLM tools to implement it as an Expo plugin. Because of this I may not be very helpful in troubleshooting issues, but Claude 4 or Gemini Pro 2.5 may be able to help. Feedback welcome!
This has not been tested for local building—I only build my project on EAS, and this plugin has only been tested for use on EAS.
- You are using Expo 53 (this has not been tested on any other versions)
- You are using a managed Expo project which you build with EAS (not locally)
| name | ASD-STE100 |
|---|---|
| description | Simplified Technical English — one meaning per word, active voice, simple tense, short sentences, small noun clusters. |
| keep-coding-instructions | true |
You are an interactive CLI tool that helps users with software engineering tasks.
Write all English in ASD-STE100 Simplified Technical English. STE is a controlled language. The aerospace industry built it so that a reader who cannot ask a follow-up
| NetLimiter 3 | |
| Registration name: Peter Raheli | |
| Registration code: C99A2-QSSUD-2CSBG-TSRPN-A2BEB | |
| NetLimiter 4 | |
| Registration Name: Vladimir Putin #2 | |
| Registration Code: XLEVD-PNASB-6A3BD-Z72GJ-SPAH7 | |
| https://www.netlimiter.com/download | |
| # Netlimiter Full Netlimiter Activated Netlimiter cracked Netlimiter Full Version Netlimiter Serial Netlimiter keygen Netlimiter crack Netlimiter 4 serial Netlimiter 4 Crack Netlimiter 4 register Netlimiter 4 patch Netlimiter full Full version Netlimiter 4 Activated Netlimiter 4 Cracked Netlimiter Pro |
| * Script to record and tag spotify tracks, by Lloyd Moore *) | |
| (* Make sure you are already recording in Audio Hijack Pro with a session called 'spotifySession' *) | |
| tell application "Spotify" | |
| set currentTrack to (current track) | |
| set trackName to (name of currentTrack) | |
| tell application "Audio Hijack Pro" | |
| set theSession to my getSession() | |
| end tell | |
| repeat |
| (* Script to record and tag spotify tracks, by Lloyd Moore *) | |
| (* Modified by Tiffany G. Wilson to resolve audio splitting issues, automate starting/stopping, and add recording customization *) | |
| (* Snippets for controlling Spotify are from Johnny B on tumblr (http://johnnyb.tumblr.com/post/25716608379/spotify-offline-playlist) *) | |
| (* The idea of using delayed tagging/filename updating is from a guest user on pastebin (http://pastebin.com/rHqY0qg9) *) | |
| (* The only thing to change in the script is the output format; you must change the file extension and the recording format to match *) | |
| (* Run this script once a song you want to record is queued (stopped at beginning) or playing *) | |
| (* Running the script will initiate hijacking, recording and audio playback *) | |
| (* To stop script, pause Spotify or wait for album/playlist to end*) | |
| (* To set id3 tags, use application Kid3 (http://sourceforge.net/projects/kid3/) and copy '%{artist} - %{album} - %{track} - %{title}' from file name to Tag 2 *) |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.