vfarcic

Intro

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.

Setup

git clone https://github.com/vfarcic/infra-with-ai

karpathy

LLM Wiki

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.

The core idea

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.

jimbrig

collapsible markdown?

CLICK ME

yes, even hidden code blocks!

print("hello world!")

LucasBonafe

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
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hydrz

#!/usr/bin/bash

set -e

apt-get update

apt-get install -y \
    curl \
    ca-certificates \
    unzip \

montasim

KFZUS-F3JGV-T95Y7-BXGAS-5NHHP
T3ZWQ-P2738-3FJWS-YE7HT-6NA3K
KFZUS-F3JGV-T95Y7-BXGAS-5NHHP
65Z2L-P36BY-YWJYC-TMJZL-YDZ2S
SFZHH-2Y246-Z483L-EU92B-LNYUA
GSZVS-5W4WA-T9F2E-L3XUX-68473
FTZ8A-R3CP8-AVHYW-KKRMQ-SYDLS
Q3ZWN-QWLZG-32G22-SCJXZ-9B5S4
DAZPH-G39D3-R4QY7-9PVAY-VQ6BU
KLZ5G-X37YY-65ZYN-EUSV7-WPPBS

nitefood

Step-by-Step Setup

1. Access the Alexa Developer Console: Go to https://developer.amazon.com/alexa/console/ask.
2. Create a New Skill: Click on Create Skill, give it a name, and choose your preferred language.
3. Choose a Template: Select the "Start from Scratch" template and leave the rest as the default.

---

Configure the Skill

ashish-kus

#!/usr/bin/env bash

parse_ini() {
    local ini_file="$1"
    # declare -A config
    current_section=""
    while IFS= read -r line; do
        line=$(echo "$line" | sed -e 's/^[ \t]*//;s/[ \t]*$//')
        if [[ "$line" =~ ^\; ]] || [[ -z "$line" ]]; then
            continue

dipakprajapati2703

# .claude-ignore - Files and directories to exclude from Claude Code analysis
# Place this in your Magento 2 project root directory

# Vendor Dependencies (too large and not project-specific)
/vendor/
/node_modules/

# Generated and Cache Files
/var/
/generated/