Way Enough - A few strategies to make LLMs useful for you
Phoenix.new is Fly’s entry into the prompt-driven app development space
Here’s a fascinating new entrant into the AI-assisted-programming / coding-agents space by Fly.io, introduced on their blog in Phoenix.new – The Remote AI Runtime for Phoenix: describe an app in …
Build and share AI-powered apps with Claude
Anthropic have added one of the most important missing features to Claude Artifacts: apps built as artifacts now have the ability to run their own prompts against Claude via a …
Way Enough - Agent Coding Strategies
LLM-as-a-Judge: A Practical Guide
How to Scale LLM Evaluations Beyond Manual Review
The Apple "Reasoning Collapse" Paper Is Even Dumber Than You Think
We're this far into reasoners and neither hypesters nor skeptics really understand their significance. Also: Read Toulmin.
An LLM Codegen Hero's Journey
A comprehensive guide detailing the evolution of using AI-assisted software development, from basic code completion to fully autonomous coding agents, with practical steps and insights for maximizing productivity through LLM integration.
dotfiles/.claude/CLAUDE.md at master · harperreed/dotfiles
Dotfiles. Managed by YADM. Contribute to harperreed/dotfiles development by creating an account on GitHub.
Basic Claude Code
A detailed walkthrough of using Claude Code AI assistant for software development, including workflow tips, testing practices, and practical examples from real projects. Covers defensive coding strategies, TDD, and team implementation.
vincenthopf/claude-code: A curated list of commands, files, and workflows for Claude Code
A curated list of commands, files, and workflows for Claude Code - vincenthopf/claude-code
basic-memory/README.md at main · basicmachines-co/basic-memory
Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants, stored in standard Markdown files on your computer. Integra...
aminanvary/Custom-Instructions: A collection of custom instructions for Claude desktop and related AI tools
MCP Server Prompts
GitHub Copilot Custom Prompt Files & Folder Structure for Teams
Discover Rafferty Uy’s guide on structuring GitHub Copilot custom prompt files for team collaboration. Learn best practices and tips for effective prompt engineering.
Before generating SQL statements:
- Understand the relationship between the tables in the database.
- Determine the filtering criteria and conditions for data retrieval.
- Validate the expected outcome of the query.
- Think step-by-step and revalidate before responding.
StefanRoets06/Custom-Instructions-for-GitHub-Copilot: This guide is intended to help you provide better context for GitHub Copilot when working on programming-related tasks. Use this template to define your goals, preferences, and any specific guidelines you'd like Copilot to follow.
This guide is intended to help you provide better context for GitHub Copilot when working on programming-related tasks. Use this template to define your goals, preferences, and any specific guideli...
copilot-instructions.md has helped me so much. : r/ChatGPTCoding
Your plan MUST include:
- All functions/sections that need modification
- The order in which changes should be applied
- Dependencies between changes
- Estimated number of separate edits required
Smaller prompts, better answers with GitHub Copilot Custom Instructions
Working with GitHub Copilot in VS Code amps out your efficiency as a programmer - but did you know that adding a simple markdown file can boost this efficiency even more, while *also* decreasing the size of your prompt? Custom Instructions can help you and your team do so much more with GitHub Copilot, and @rconery will show you how in this video.
🔎 Chapters:
00:12 Simple, automatic instructions
02:07 Custom Git commit messages
03:26 Customizing Copilot functionality in VS Code
05:00 Going all in with markdown files as instructions
🔗 Links:
Get Copilot: https://aka.ms/get-copilot
Instruction Snippets for JSONC: https://gist.github.com/robconery/f93d016ace16feb7156f9b7905f3f499
🎙️ Featuring: @rconery
#vscode #copilot #githubcopilot
MCP…. So What’s That All About?
✅ Learn how to build robust and scalable software architecture: https://arjan.codes/checklist.
Want your AI tools to actually *do* something? In this video, I’ll show you how to integrate external tools with language models using **MCP (Model Context Protocol)**. You’ll learn two common architecture patterns, see real code examples, and get tips on keeping your setup clean and scalable. Whether you’re building for Claude, ChatGPT, or any other LLM—this is how you connect your backend to AI.
🔥 GitHub Repository: https://git.arjan.codes/2025/mcp-server.
🎓 ArjanCodes Courses: https://www.arjancodes.com/courses.
🔖 Chapters:
0:00 Intro
0:46 What is MCP?
3:14 YouTube MCP Version 1
7:58 YouTube MCP Version 2
12:18 Final Thoughts
#arjancodes #softwaredesign #python
Model Context Protocol(MCP) with Ollama and Llama 3 : A Step-by-Step Guide — Part 2
In my previous article , we explored Model Context Protocol (MCP) — a standardized way for LLMs to invoke tools or APIs with structured…
The Gap Through Which We Praise the Machine
My current theory of agentic programming: people are amazing at adapting the tools they're given and totally underestimate the extent to which they do it, and the amount of skill we build doing that is an incidental consequence of how badly the tools are designed.
LLM as a Judge
Learn what LLM as a Judge is, how it works, its benefits, challenges, and best practices for automated evaluations in AI applications.
How Anthropic teams How Anthropic teams use Claude Code
AI Coding Agents
codename goose | codename goose
Your open source AI agent, automating engineering tasks seamlessly.
dagger/container-use: Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.
Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack. - dagger/container-use
Peekaboo MCP – lightning-fast macOS screenshots for AI agents | Peter Steinberger
Turn your blind AI into a visual debugger with instant screenshot capture and analysis
cognitivecomputations/dolphin-mcp
Contribute to cognitivecomputations/dolphin-mcp development by creating an account on GitHub.
punkpeye/awesome-mcp-servers: A collection of MCP servers.
A collection of MCP servers. Contribute to punkpeye/awesome-mcp-servers development by creating an account on GitHub.
ask-human mcp 🚀 - Mason Yarbrough
Adventures in Symbolic Algebra with Model Context Protocol
Personal Blog
A practical guide to building agents