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@alekseykulikov
alekseykulikov / index.md
Last active February 6, 2025 21:20
Principles we use to write CSS for modern browsers

Recently CSS has got a lot of negativity. But I would like to defend it and show, that with good naming convention CSS works pretty well.

My 3 developers team has just developed React.js application with 7668 lines of CSS (and just 2 !important). During one year of development we had 0 issues with CSS. No refactoring typos, no style leaks, no performance problems, possibly, it is the most stable part of our application.

Here are main principles we use to write CSS for modern (IE11+) browsers:

@yossorion
yossorion / what-i-wish-id-known-about-equity-before-joining-a-unicorn.md
Last active July 12, 2025 14:53
What I Wish I'd Known About Equity Before Joining A Unicorn

What I Wish I'd Known About Equity Before Joining A Unicorn

Disclaimer: This piece is written anonymously. The names of a few particular companies are mentioned, but as common examples only.

This is a short write-up on things that I wish I'd known and considered before joining a private company (aka startup, aka unicorn in some cases). I'm not trying to make the case that you should never join a private company, but the power imbalance between founder and employee is extreme, and that potential candidates would

@bojand
bojand / index.md
Last active June 17, 2025 06:01
gRPC and Load Balancing

Just documenting docs, articles, and discussion related to gRPC and load balancing.

https://github.com/grpc/grpc/blob/master/doc/load-balancing.md

Seems gRPC prefers thin client-side load balancing where a client gets a list of connected clients and a load balancing policy from a "load balancer" and then performs client-side load balancing based on the information. However, this could be useful for traditional load banaling approaches in clound deployments.

https://groups.google.com/forum/#!topic/grpc-io/8s7UHY_Q1po

gRPC "works" in AWS. That is, you can run gRPC services on EC2 nodes and have them connect to other nodes, and everything is fine. If you are using AWS for easy access to hardware then all is fine. What doesn't work is ELB (aka CLB), and ALBs. Neither of these support HTTP/2 (h2c) in a way that gRPC needs.

@enricofoltran
enricofoltran / main.go
Last active July 19, 2025 10:43
A simple golang web server with basic logging, tracing, health check, graceful shutdown and zero dependencies
package main
import (
"context"
"flag"
"fmt"
"log"
"net/http"
"os"
"os/signal"
@akihikodaki
akihikodaki / README.en.md
Last active July 1, 2025 19:31
Linux Desktop on Apple Silicon in Practice

Linux Desktop on Apple Silicon in Practice

I bought M1 MacBook Air. It is the fastest computer I have, and I have been a GNOME/GNU/Linux user for long time. It is obvious conclusion that I need practical Linux desktop environment on Apple Silicon.

Fortunately, Linux already works on Apple Silicon/M1. But how practical is it?

  • Two native ports exist.
@danopia
danopia / Dockerfile
Last active May 7, 2025 05:17
ERCOT Frozen Grid 2021 - Metrics Reporters
FROM hayd/alpine-deno:1.10.1
WORKDIR /src/app
ADD deps.ts ./
RUN ["deno", "cache", "deps.ts"]
ADD *.ts ./
RUN ["deno", "cache", "mod.ts"]
ENTRYPOINT ["deno", "run", "--unstable", "--allow-net", "--allow-hrtime", "--allow-env", "--cached-only", "--no-check", "mod.ts"]
@rain-1
rain-1 / LLM.md
Last active July 27, 2025 05:20
LLM Introduction: Learn Language Models

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

@kconner
kconner / macOS Internals.md
Last active July 25, 2025 19:31
macOS Internals

macOS Internals

Understand your Mac and iPhone more deeply by tracing the evolution of Mac OS X from prelease to Swift. John Siracusa delivers the details.

Starting Points

How to use this gist

You've got two main options:

@kylemcdonald
kylemcdonald / function-calling.ipynb
Created June 14, 2023 01:10
Example of OpenAI function calling API to extract data from LAPD newsroom articles.
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@adrienbrault
adrienbrault / llama2-mac-gpu.sh
Last active April 8, 2025 13:49
Run Llama-2-13B-chat locally on your M1/M2 Mac with GPU inference. Uses 10GB RAM. UPDATE: see https://twitter.com/simonw/status/1691495807319674880?s=20
# Clone llama.cpp
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
# Build it
make clean
LLAMA_METAL=1 make
# Download model
export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin