“Don’t use chatbots as search engines” was great advice for several years... until it wasn’t. I wrote about how good OpenAI’s o3 was at using its Bing-backed search tool back …

Developers can use their AI tool of choice for spec-driven development with this open source toolkit.

An autonomous AI coding assistant for VS Code with Plan/Act modes, terminal execution, file editing, and Model Context Protocol for custom tools

Claude Code is the most delightful AI agent/workflow I have used so far. Not only does it make targeted edits or vibe coding throwaway tools less annoying, ...

This blog post intends to be a definitive guide to context engineering fundamentals from the perspective of an engineer who builds commercial coding assistants and harnesses for a living. Just two weeks ago, I was back over in San Francisco, and there was a big event on Model Context Protocol

Useful reminder from Geoffrey Huntley of the infrequently discussed significant token cost of using MCP. Geoffrey estimate estimates that the usable context window something like Amp or Cursor is around …

fresh directories for every vibe. Contribute to tobi/try development by creating an account on GitHub.

Create instant AI-powered mind maps with MindMap AI. Featuring Copilot Chat, co-creation, multi-format input, and easy sharing. Revolutionize your brainstorming process today!

Transform your AI coding workflow with a beautiful GUI that makes managing Claude sessions, creating custom agents, and tracking usage effortless.

Effortlessly generate a context block to quickly paste into any AI chat. Works on any OS, from any editor. Removing the friction between your project/repo and AI. This is not meant to replace Agent software.

Zenity Labs describe a classic lethal trifecta attack, this time against Cursor, MCP, Jira and Zendesk. They also have a short video demonstrating the issue. Zendesk support emails are often …

The Moonshot AI team synthesized thousands of tools, agents, users, and sessions to build a library of training data.

A practical guide to working effectively with AI coding tools like Claude Code, covering mindset shifts, quality control strategies, and team collaboration workflows for modern software development.

I’m a little salty that neither Anthropic nor Google reached out to me before they released their terminal-based AI coding agents.

Build, debug, and optimize AI agents using DSPy and MLflow.

One of my favorite AI dev products today is Full Line Code Completion in PyCharm (bundled with the IDE since late 2023). It’s extremely well-thought out,...

Christopher Smith ran a mini hackathon in Albany New York at the weekend around uses of my LLM - the first in-person event I'm aware of dedicated to that project! …

VS Code AI Customization: Learn to use custom instructions, prompt files, and custom chat modes to personalize AI code generation, reviews, and chat responses.

The solution to agentic flows was code all along.

Customize and extend Claude Code's behavior by registering shell commands

6 tactics for fixing your context and shipping better agents. As Karpathy says, building LLM-powered apps means learning to ‘pack the context windows just right’—smartly deploying tools, managing information, and maintaining context hygiene.

A pragmatic take on AI coding with practical insights

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.

A curated list of commands, files, and workflows for Claude Code - vincenthopf/claude-code

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...

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

✅ 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

In my previous article , we explored Model Context Protocol (MCP) — a standardized way for LLMs to invoke tools or APIs with structured…