Every repo from my series, best ones first. I keep this same link updated — save it.
Follow me on Instagram for the next one: @angelotrifanoff.ai
https://github.com/MadsLorentzen/ai-job-search (MIT, ★36K+)
Every repo from my series, best ones first. I keep this same link updated — save it.
Follow me on Instagram for the next one: @angelotrifanoff.ai
https://github.com/MadsLorentzen/ai-job-search (MIT, ★36K+)
Layer. Каждый Docker-образ состоит из слоёв, каждый из которых описывает какую-то инструкцию. Далее — Docker объединяет информацию из каждого слоя, и создает шаблон-образ, из которого запускается контейнер, в котором выполняются инструкции из каждого слоя, который был включен в данный образ.
Registry. Хранилище Docker – это репозиторий, в котором хранятся образы Docker и который упрощает обмен этими образами между различными людьми и компьютерами. Когда вы создаете образ, вы можете либо запустить его на компьютере, на котором вы его создали, либо отправить (закачать) образ в хранилище, а затем извлечь (скачать) его на другом компьютере и запустить его там.
Image. Образ контейнера на основе Docker – это то, во что вы упаковываете свое приложение и его среду. Он содержит файловую систему, которая будет доступна приложению, и другие метаданные, такие как путь к исполняемому файлу, который должен быть исполнен при запуске образа.
After a bunch of back and forth and many hours of trial and error, I've finally got a robust way to integrate the Clipsal/PDL Iconic dimmers integrated into Home Assistant via zigbee2mqtt.
I have submitted a PR that adds a zigbee-herdsman-converter that means the dimmers should be recognised automatically by zigbee2mqtt, allowing them to be controlled by Home Assistant like any other compatible device.
As it transpires, this was actually really easy once I worked out what to do,
Document purpose
The purpose of this document is to provide an overview of the auction software I'm writing that uses a microservice based design pattern. Detailed below are the various microservices (with links to their individual Github repo's) and an explantion of how they all fit together to form an auction application. Also discussed are why I chose the approaches I did and some of the advantages and disadvantages of my choices.
Contents
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.
This guide will cover the best way to get MacOS keyboard shortcuts on KDE Plasma 6
You've probably been messing with your shortcuts already. I would recommend returning them to their defaults to ensure everything here works as intended.
| Filter | Description | Example |
|---|---|---|
| allintext | Searches for occurrences of all the keywords given. | allintext:"keyword" |
| intext | Searches for the occurrences of keywords all at once or one at a time. | intext:"keyword" |
| inurl | Searches for a URL matching one of the keywords. | inurl:"keyword" |
| allinurl | Searches for a URL matching all the keywords in the query. | allinurl:"keyword" |
| intitle | Searches for occurrences of keywords in title all or one. | intitle:"keyword" |
| 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 |
Pi-Hole's primary function is to be a DNS server with the ability to block domains, usually used for advertising, tracking or other unwanted sites. It also features a built-in DHCP Server.
Usually, your router will also have a built-in DHCP server, pre-configured from factory, and for most users this is perfectly fine. But in some cases you may want to run another DHCP server instead of relying on your router's one. This guide will help you understand how a DHCP server works and how to configure it without disturbing your network.
If you already know the networking basics, you can cut to the chase and read just the configuration part