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  • llm-wiki

    llm-wiki.md LLM Wiki 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. The core idea Most people's experience with LLMs and documents lo

      llm-wiki
    • GitHub - modelcontextprotocol/servers: Model Context Protocol Servers

      Official integrations are maintained by companies building production ready MCP servers for their platforms. 21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers. 2slides - An MCP server that provides tools to convert content into slides/PPT/presentation or generate slides/PPT/presentation with user intention. ActionKit by Paragon - Connect to 130+ SaaS inte

        GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
      • The Factory Model: How Coding Agents Changed Software Engineering | AddyOsmani.com

        The Factory Model: How Coding Agents Changed Software Engineering February 25, 2026 Something shifted recently with agentic engineering that “feels” like the level of abstraction changed again. Not the usual kind of shift where tools get marginally better and workflows gradually evolve. A step change. Developers who have been writing software for decades are describing it the same way: the center

          The Factory Model: How Coding Agents Changed Software Engineering | AddyOsmani.com
        • Test-Driven Development with an LLM for Fun and Profit

          Welcome to the very first post in a new blog! Here I will discuss software development, SRE work, and other fun stuff. Sometimes an idea is just too good to pass up. I hope this blog will motivate me to turn sparks and little pieces into general knowledge in writing the words down. The other day I was discussing Tabby with a coworker. We talked about whether we should consider AI-autocompleted cod

          • Hypershell: A Type-Level DSL for Shell-Scripting in Rust | Context-Generic Programming

            Discuss on Reddit, Lobsters, and Hacker News. Summary I am thrilled to introduce Hypershell, a modular, type-level domain-specific language (DSL) for writing shell-script-like programs in Rust. Hypershell is powered by context-generic programming (CGP), which makes it possible for users to extend or modify both the language syntax and semantics. Table of Contents Estimated reading time: 1~2 hours

              Hypershell: A Type-Level DSL for Shell-Scripting in Rust | Context-Generic Programming
            • GitHub - Egonex-AI/Understand-Anything: Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

              Turn any codebase, knowledge base, or docs into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. Understand Anything. Understand Anyone. AI should help people, not replace them. English | 简体中文 | 繁體中文 | 日本語 | 한국어 | Español | Türkçe | Русский An open-source project from Egonex Originally created by

                GitHub - Egonex-AI/Understand-Anything: Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
              • The state of Vim

                January 10, 2025 This article was contributed by Murukesh Mohanan The death of Bram Moolenaar, Vim founder and benevolent dictator for life (BDFL), in 2023 sent a shock through the community, and raised concern about the future of the project. At VimConf 2024 in November, current Vim maintainer Christian Brabandt delivered a keynote on "the new Vim project" that detailed how the community has reor

                • AST vs. Bytecode: Interpreters in the Age of Meta-Compilation

                  233 AST vs. Bytecode: Interpreters in the Age of Meta-Compilation OCTAVE LAROSE, University of Kent, UK SOPHIE KALEBA, University of Kent, UK HUMPHREY BURCHELL, University of Kent, UK STEFAN MARR, University of Kent, UK Thanks to partial evaluation and meta-tracing, it became practical to build language implementations that reach state-of-the-art peak performance by implementing only an interprete

                  • Our Experience Porting the YJIT Ruby Compiler to Rust - Shopify

                    Our Experience Porting the YJIT Ruby Compiler to RustIn this post, I want to give a nuanced perspective on our experience porting YJIT from C to Rust. I'll talk about the positives, but also discuss the things that we found challenging or suboptimal in our experience. Last year, my team at Shopify implemented YJIT, a new Just-In-Time (JIT) compiler for CRuby, which was recently upstreamed as part

                      Our Experience Porting the YJIT Ruby Compiler to Rust - Shopify
                    • require(esm) in Node.js

                      Recently I landed experimental support for require()-ing synchronous ES modules in Node.js, a feature that has been long overdue. In the pull request, I commented with my understanding about why it did not happen sooner before this pull request in 2024. This post expands on that comment a bit more. The opinions in this post are my own and reflect my perception of the ESM development in Node.js as

                      • Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog

                        AI is here, AI is everywhere: Top companies, governments, researchers, and startups are already enhancing their work with Google's AI solutions. Published April 12, 2024; last updated April 22, 2026. We first published this list two years ago at Next ‘24, as the agentic era was just dawning. Watching this list grow — propelled by our customer’s enthusiastic commitment to AI — proves we are now fir

                          Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
                        • GitHub - Graphify-Labs/graphify: Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, n

                          Type /graphify in your AI coding assistant and it maps your entire project (code, docs, PDFs, images, videos) into a knowledge graph you can query instead of grepping through files. Code maps for free, fully local. Code is parsed with tree-sitter AST: deterministic, no LLM, nothing leaves your machine. (Docs, PDFs, images and video use your assistant's model, or a configured API key, for a semanti

                            GitHub - Graphify-Labs/graphify: Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, n
                          • OpenAI, Google and Anthropic are struggling to build more advanced AI | Hacker News

                            Question for the group here: do we honestly feel like we've exhausted the options for delivering value on top of the current generation of LLMs?I lead a team exploring cutting edge LLM applications and end-user features. It's my intuition from experience that we have a LONG way to go. GPT-4o / Claude 3.5 are the go-to models for my team. Every combination of technical investment + LLMs yields a ne

                            • GitHub - safishamsi/graphify: AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, OpenClaw, Factory Droid, Trae, Google Antigravity). Turn any folder of code, docs, papers, images, or videos into a queryable kn

                              English | 简体中文 | 日本語 | 한국어 An AI coding assistant skill. Type /graphify in Claude Code, Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, Aider, OpenClaw, Factory Droid, Trae, or Google Antigravity - it reads your files, builds a knowledge graph, and gives you back structure you didn't know was there. Understand a codebase faster. Find the "why" behind architectural decisions. Fully multimo

                                GitHub - safishamsi/graphify: AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, OpenClaw, Factory Droid, Trae, Google Antigravity). Turn any folder of code, docs, papers, images, or videos into a queryable kn
                              • GitHub - google/mantis: A modular, stack-agnostic toolkit for AI coding agents to autonomously find, reproduce, and patch vulnerabilities.

                                First, install python3-venv such as with sudo apt install python3-venv, then run the install script. Mantis comes with automated configuration and launcher tools (mantis-configure and mantis-launch): cd reference && ./install.sh # 0. Authenticate Google Cloud Application Default Credentials (ADC) if using Vertex AI gcloud auth application-default login # 1. Fast Configuration & Capability Auto-Det

                                  GitHub - google/mantis: A modular, stack-agnostic toolkit for AI coding agents to autonomously find, reproduce, and patch vulnerabilities.
                                • MAI-Thinking-1: Building a Hill-Climbing Machine

                                  MAI-Thinking-1: Building a Hill-Climbing Machine The Microsoft AI Team 1 Abstract Progress in AI is driven not by a single model, but by the ability to continually improve upon the current state of models. Achieving this requires treating model development as a system-level optimization problem, for which the solution is building a hill-climbing machine for rapid improvement. Our process includes

                                  • Rovo Dev agent, now available in the CLI - Work Life by Atlassian

                                    Following the unveiling of our new Rovo Dev Agent at Team ’25 in April, we’re excited to bring it to the command line, an essential tool in many developers’ daily workflows. This significant milestone introduces an agentic AI coding experience designed with enterprises in mind. With Rovo Dev CLI, part of Rovo Dev, your command line becomes an intelligent development agent that understands, codes,

                                      Rovo Dev agent, now available in the CLI - Work Life by Atlassian
                                    • Biome v2.4—Embedded Snippets, HTML Accessibility, and Better Framework Support

                                      Biome v2.4 is the first minor release of the year! After more than ten patches from v2.3, today we bring to you a new version that contains many new features! Once you have upgraded to Biome v2.4.0, migrate your Biome configuration to the new version by running the migrate command: biome migrate --write Highlights Among all the features shipped in this release, here are the ones we think you’re go

                                        Biome v2.4—Embedded Snippets, HTML Accessibility, and Better Framework Support
                                      • Blog

                                        Hachi: An (Image) Search engine Only the dead have seen the end of war .. George Santayana For quite some time now, i have been working on and off on a fully self-hosted search engine, in hope to make it easier to search across Personal data in an end to end manner. Even as individuals, we are hoarding and generating more and more data with no end in sight. Such "personal" data is being stored fro

                                        • GitHub - tirth8205/code-review-graph: Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claude reads only what matters — 6.8× fewer tokens on reviews and up to 49× on daily coding tasks.

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                                            GitHub - tirth8205/code-review-graph: Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claude reads only what matters — 6.8× fewer tokens on reviews and up to 49× on daily coding tasks.
                                          • GitHub - DeusData/codebase-memory-mcp: High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependenc

                                            The fastest and most efficient code intelligence engine for AI coding agents. Full-indexes an average repository in milliseconds, the Linux kernel (28M LOC, 75K files) in 3 minutes. Answers structural queries in under 1ms. Ships as a native executable with a small verified runtime-asset set for macOS, Linux, and Windows — download, run install, done. High-quality parsing through tree-sitter AST an

                                              GitHub - DeusData/codebase-memory-mcp: High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependenc
                                            • GitHub - daishir0/cc-rsg: A general-purpose framework for automatically generating specification documents — for maintenance engineers or end customers — from legacy or active codebases.

                                              A Claude Code skill that reverse-engineers specification documents from existing codebases 📖 日本語版は下記にあります — Jump to Japanese → cc-rsg is a general-purpose framework for automatically generating specification documents — for maintenance engineers or end customers — from legacy or active codebases. It is the reverse direction counterpart of cc-sdd (Spec Driven Development): while cc-sdd goes "spec

                                                GitHub - daishir0/cc-rsg: A general-purpose framework for automatically generating specification documents — for maintenance engineers or end customers — from legacy or active codebases.
                                              • Why We Use Julia, 10 Years Later

                                                Exactly ten years ago today, we published "Why We Created Julia", introducing the Julia project to the world. At this point, we have moved well past the ambitious goals set out in the original blog post. Julia is now used by hundreds of thousands of people. It is taught at hundreds of universities and entire companies are being formed that build their software stacks on Julia. From personalized me

                                                  Why We Use Julia, 10 Years Later
                                                • Advanced React in the Wild

                                                  Advanced React in the WildProduction Case Studies from Ambitious Web Projects (2022–2025) Introduction React and Next.js have powered some of the web’s most ambitious projects in the last few years. In this period, teams have pushed the envelope on performance (achieving dramatic gains in Core Web Vitals like LCP and the new INP metric), balanced server-side and client-side rendering trade-offs, d

                                                    Advanced React in the Wild
                                                  • Expert Generalists

                                                    As computer systems get more sophisticated we've seen a growing trend to value deep specialists. But we've found that our most effective colleagues have a skill in spanning many specialties. We are thus starting to explicitly recognize this as a first-class skill of “Expert Generalist”. We can identify the key characteristics of people with this skill - and thus recruit and promote based on it. We

                                                      Expert Generalists
                                                    • February 2025 (version 1.98)

                                                      The feature is still in development and not yet ready for general use. View the experimental features (@tag:experimental). Copilot Edits Agent mode improvements (Experimental) Last month, we introduced agent mode for Copilot Edits in VS Code Insiders. In agent mode, Copilot can automatically search your workspace for relevant context, edit files, check them for errors, and run terminal commands (w

                                                        February 2025 (version 1.98)
                                                      • Sudo-rs dependencies: when less is better

                                                        The sudo utility represents a critical privilege boundary, so it should be memory safe. We rewrote it in Rust with partners at Tweede golf and Ferrous Systems. Ruben Nijveld from the Tweede golf team offers his perspective here on one of the greatest challenges we faced when developing software that can be widely adopted: Rust crate dependencies. When sudo-rs development started, we added several

                                                          Sudo-rs dependencies: when less is better
                                                        • Summary - Rust Project Perspectives on AI

                                                          Press ← or → to navigate between chapters Press S or / to search in the book Press ? to show this help Press Esc to hide this help Diverse perspectives on AI from Rust contributors and maintainers Starting on Feb 6, the project began collecting perspectives around AI into a shared document. This document is a summary of those comments, authored by nikomatsakis on Feb 27 or so. The goal of this doc

                                                          • GitHub - fainir/most-capable-agent-system-prompt: Most Capable Agent System Prompt

                                                            Paste this prompt into your coding agent of choice - Claude Code, Codex, Cursor, or any similar tool - and it will build the most capable, self-improving agentic system possible. Either as a harness wrapper around your existing agent or as fresh code built from scratch based on your preference. A system that can handle software engineering, scientific research, running a company, data analysis, br

                                                              GitHub - fainir/most-capable-agent-system-prompt: Most Capable Agent System Prompt
                                                            • Announcing Grafana Phlare, the open source database for continuous profiling at massive scale | Grafana Labs

                                                              Announcing Grafana Phlare, the open source database for continuous profiling at massive scale At ObservabilityCON in New York City today, we announced a new open source backend for continuous profiling data: Grafana Phlare. We are excited to share this horizontally scalable, highly available database with the open source community — along with a new flame graph panel for visualizing profiling data

                                                                Announcing Grafana Phlare, the open source database for continuous profiling at massive scale | Grafana Labs
                                                              • Software Architecture in an AI World

                                                                Like almost any question about AI, “How does AI impact software architecture?” has two sides to it: how AI changes the practice of software architecture and how AI changes the things we architect. These questions are coupled; one can’t really be discussed without the other. But to jump to the conclusion, we can say that AI hasn’t had a big effect on the practice of software architecture, and it ma

                                                                  Software Architecture in an AI World
                                                                • GitHub - hyperfiddle/electric: Electric Clojure: full-stack differential dataflow for UI

                                                                  com.hyperfiddle/electric {:mvn/version "v3-alpha-SNAPSHOT"} Mission statement, product overview, license, community Tutorial and reference Starter app for updates, follow us on twitter: https://x.com/dustingetz Electric is a new way to build rich, interactive web products that simply have too much interactivity, realtime streaming, and too rich network connections to be able to write all the front

                                                                    GitHub - hyperfiddle/electric: Electric Clojure: full-stack differential dataflow for UI
                                                                  • How uv Works Under the Hood | Noos - Where Thought, Code, and Craft Converge

                                                                    I started using uv because the benchmarks seemed too good to be true—10–100x faster than pip, resolves and installs in milliseconds. After reading the source code and the official resolver internals documentation, I understand why, and the answers are more interesting than just "it's written in Rust." This post traces every layer: from the repository structure, through what literally happens when

                                                                      How uv Works Under the Hood | Noos - Where Thought, Code, and Craft Converge
                                                                    • Magenta RealTime 2: Open & Local Live Music Models

                                                                      We’re excited to share Magenta RealTime 2 (MRT2), a state-of-the-art open model and efficient real-time inference engine that enables you to build and play AI musical instruments on your laptop! To get started, download the apps on your MacBook (requires Apple Silicon). Plugin Bundle (MacOS) View on GitHub Models Unlike other large generative music models that work offline to turn a prompt into a

                                                                        Magenta RealTime 2: Open & Local Live Music Models
                                                                      • Improving C# Memory Safety - .NET Blog

                                                                        We’re in the process of significantly improving memory safety in C#. The unsafe keyword is being redesigned to inform callers that they have obligations that must be discharged to maintain safety, documented via a new safety comment style. The keyword will expand from marking pointers to any code that interacts with memory in ways the compiler cannot validate as safe. The compiler will enforce tha

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