This method uses NDI and OBS as a bridge between Premiere Pro.
With a non-standard sequence resolution like 1080 x 1080 (1:1) or 900 x 1080 (5:6), Premiere will attempt to output exactly that resolution to the Blackmagic Decklick or UltraStudio Monitor device.
However, Blackmagic's monitoring devices are SMPTE-compliant and only output standard formats like e.g. 1080p25 (1920 x 1080).
UniGetUI is a convenient package management tool for Windows 11, that is straight forward to setup and configure, except for when it comes to its support for managing Rust Language Cargo Packages. Rust Cargo Package support requires some extra steps to get working out of the box.
With a fresh install of UniGetUI, upon opening it for the first time, you will be greated with a notification/warning message, informing you that you need to install the missing dependency called "cargo-update" or else UniGetUI will not be able to manage Rust packages for you. However, following the instructions provided in the warning message does not work, and you will continue recieving this warning/error every time you open UniGetUI.
You can find
Research on how other coding assistants implement context compaction to manage long conversations.
Context compaction (also called "handoff" or "summarization") is a technique to manage the context window in long coding sessions. When conversations grow too long, performance degrades and costs increase. Compaction summarizes the conversation history into a condensed form, allowing work to continue without hitting context limits.
| local threading = require("threading") | |
| local floor, sqrt = math.floor, math.sqrt | |
| local insert, concat = table.insert, table.concat | |
| local RESET = string.char(27) .. "[0m" | |
| local CLEAR_LINE = string.char(27) .. "[2K" | |
| local SHADES = " .'`^\",:;Il!i><~+_-?][}{1)(|\\/tfjrxnuvczXYUJCLQ0OZmwqpdbkhao*#MW&8%B@$" | |
| local PRESETS = { |
WARNING: Article moved to separate repo to allow users contributions: https://github.com/raysan5/custom_game_engines
A couple of weeks ago I played (and finished) A Plague Tale, a game by Asobo Studio. I was really captivated by the game, not only by the beautiful graphics but also by the story and the locations in the game. I decided to investigate a bit about the game tech and I was surprised to see it was developed with a custom engine by a relatively small studio. I know there are some companies using custom engines but it's very difficult to find a detailed market study with that kind of information curated and updated. So this article.
Nowadays lots of companies choose engines like [Unreal](https:
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.
See how a minor change to your commit message style can make a difference.
git commit -m"<type>(<optional scope>): <description>" \ -m"<optional body>" \ -m"<optional footer>"
Complete Reference for Advanced Search Operators
