Skip to content

Instantly share code, notes, and snippets.

View vinhnx's full-sized avatar

Vinh Nguyen vinhnx

491 followers · 5.8k following
View GitHub Profile
@SamSaffron
SamSaffron / EDITING_ENGINES_AUDIT.md
Created January 3, 2026 03:22

File Editing Engines Audit: Codex vs Gemini-CLI vs OpenCode

This document analyzes how file editing works in three AI coding assistants, highlighting the unique approaches and tricks each uses.

Executive Summary

Feature Codex Gemini-CLI OpenCode
@edxeth
edxeth / claude-frontend-design-skill
Created December 21, 2025 15:45
Claude's frontend design skill
---
name: frontend-design
description: Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
license: Complete terms in LICENSE.txt
---
This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices.
The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints.
@leerob
leerob / agent.py
Created July 30, 2025 23:14
agent.py
import os
import json
import subprocess
from anthropic import Anthropic
# Tool definitions
TOOLS = [
{
"name": "list_files",
"description": "List files and directories at a given path",
@willccbb
willccbb / grpo_demo.py
Last active January 18, 2026 09:52
GRPO Llama-1B
# train_grpo.py
#
# See https://github.com/willccbb/verifiers for ongoing developments
#
"""
citation:
@misc{brown2025grpodemo,
title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models},
author={Brown, William},
@Maharshi-Pandya
Maharshi-Pandya / contemplative-llms.txt
Last active January 17, 2026 22:13
"Contemplative reasoning" response style for LLMs like Claude and GPT-4o
You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.
## Core Principles
1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally from the evidence
- If uncertain, continue reasoning indefinitely
- Question every assumption and inference
@av
av / post.md
Created December 28, 2024 20:14
r/LocalLLaMA - a year in review

r/LocalLLaMA - a year in review

This community was a great part of my life for the past two years, so as 2024 comes to a close, I wanted to feed my nostalgia a bit. Let me take you back to the most notable things happened here this year.

This isn't a log of model releases or research, rather things that were discussed and upvoted by the people here. So notable things missing is also an indication of what was going on of sorts. I hope that it'll also show the amount of progress and development that happend in just a single year and make you even more excited for what's to come in 2025.

The year started with the excitement about Phi-2 (443 upvotes, by u/steph_pop). Phi-2 feels like ancient history these days, it's also fascinating that we end the 2024 with the Phi-4. Just one week after, people discovered that apparently it [was trained on the software engineer's diary](https://reddit.com/r/LocalLLaMA/comments/1

@Artefact2
Artefact2 / README.md
Last active January 20, 2026 20:18
GGUF quantizations overview

Which GGUF is right for me? (Opinionated)

Good question! I am collecting human data on how quantization affects outputs. See here for more information: ggml-org/llama.cpp#5962

In the meantime, use the largest that fully fits in your GPU. If you can comfortably fit Q4_K_S, try using a model with more parameters.

llama.cpp feature matrix

See the wiki upstream: https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix

@ole
ole / swift-has-feature.sh
Last active January 2, 2026 06:37
swift-list-features: List Swift compiler upcoming and experimental feature flags. If you're using Swift 6.2 or later, `swift -print-supported-features` does something very similar, but only for the compiler version you have installed. · swift-has-feature: Check if a given compiler knows a specific feature flag, and whether it's an upcoming or ex…
#!/bin/zsh
# Test if the Swift compiler knows about a particular language feature.
#
# Usage:
#
# swift-has-feature [--swift SWIFT_PATH] [--language-version LANGUAGE_VERSION] FEATURE
#
# The feature should be an upcoming or experimental language feature,
# such as `"StrictConcurrency"` or `"ExistentialAny"`.
@jrknox1977
jrknox1977 / ollama_dspy.py
Created February 9, 2024 18:06
ollama+DSPy using OpenAI APIs.
# install DSPy: pip install dspy
import dspy
# Ollam is now compatible with OpenAI APIs
#
# To get this to work you must include `model_type='chat'` in the `dspy.OpenAI` call.
# If you do not include this you will get an error.
#
# I have also found that `stop='\n\n'` is required to get the model to stop generating text after the ansewr is complete.
# At least with mistral.
@jrknox1977
jrknox1977 / dspy_tgi_mistral.py
Last active April 14, 2024 08:42
DSPy - using TGI for local model
# install DSPy: pip install dspy
import dspy
# This sets up the language model for DSPy in this case we are using mistral 7b through TGI (Text Generation Interface from HuggingFace)
mistral = dspy.HFClientTGI(model='mistralai/Mistral-7B-v0.1', port=8080, url='http://localhost')
# This sets the language model for DSPy.
dspy.settings.configure(lm=mistral)
# This is not required but it helps to understand what is happening