Avoid reinventing the wheel by following these guidelines. Lessons learned from Android developers in Futurice.

P enetration testing A rtificial G eneral I ntelligence ⠀ PentAGI is an innovative tool for automated security testing that leverages cutting-edge artificial intelligence technologies. The project is designed for information security professionals, researchers, and enthusiasts who need a powerful and flexible solution for conducting penetration tests.

English | 한국어 | 中文 | 日本語 Game character voice lines + visual overlay notifications when your AI coding agent needs attention — or let the agent pick its own sound via MCP. AI coding agents don't notify you when they finish or need permission.

Some examples of code snippets that were broken pre-C++23 that are now fixed: A stacktrace is an approximate representation of an invocation sequence and consists of stacktrace entries. A stacktrace entry (represented by std::stacktraceentry) consists of information including the source file and line number, and a description field.

Local Studio is a local-first workstation for running, managing, and using self-hosted LLM backends. One machine can launch models, watch GPU/runtime state, chat with OpenAI-compatible endpoints, and run agent sessions against local or remote controllers.

Load this reference when: writing or changing tests, adding mocks, or adding cleanup/helper methods for tests. Two principles govern everything here: Strict TDD produces both naturally: a test written first and watched failing against real code has already proven it can fail, and only earns a mock when the real dependency proves slow or external.

LLMs respond to the same persuasion principles as humans. Understanding this psychology helps you design more effective skills - not to manipulate, but to ensure critical practices are followed even under pressure.

A regular expression is a pattern that is matched against a subject string from left to right. Regular expressions are used to replace text within a string, validate forms, extract a substring from a string based on a pattern match, and so much more.

--- name: finishing-a-development-branch description: Use when implementation is complete, all tests pass, and you need to decide how to integrate the work --- Core principle: Verify tests → Detect environment → Present options → Execute choice → Clean up. Announce at start: "I'm using the finishing-a-development-branch skill to complete this work." Run the project's full test suite (npm test / cargo test / pytest / go test ./...).

Goal: Refactor visual brainstorming from blocking TUI feedback model to non-blocking "Browser Displays, Terminal Commands" architecture. Architecture: Browser becomes an interactive display; terminal stays the conversation channel.

Image Credits: Ahmad Awais ⚡️ This document is a cheatsheet for JavaScript you will frequently encounter in modern projects and most contemporary sample code. This guide is not intended to teach you JavaScript from the ground up, but to help developers with basic knowledge who may struggle to get familiar with modern codebases (or let's say to learn React for instance) because of the JavaScript concepts used.

--- name: using-git-worktrees description: Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback --- Ensure work happens in an isolated workspace. Prefer your platform's native worktree tools.

We're excited to announce the release of Gin 1.12.0! This release brings new features, performance improvements, and important bug fixes.

It contains all the schemas, examples and software used to publish Schema.org. For the site itself, please see Schema.org instead.

If you appreciate the content 📖, support projects visibility, give 👍| ⭐| 👏 A curated list of awesome System Designing articles, videos and resources for distributed computing, AKA Big Data. Whether you're preparing for an interview or you want to design a distributed/microservice oriented application, this list will definitely help you achieve that.

Goal: Make using-git-worktrees, finishing-a-development-branch, and related skills work in the Codex App's sandboxed worktree environment without breaking existing behavior. Architecture: Read-only environment detection (git-dir vs git-common-dir) at the start of two skills.

Chrome DevTools for agents (chrome-devtools-mcp) lets your coding agent (such as Antigravity, Claude, Cursor or Copilot) control and inspect a live Chrome browser. It acts as a Model-Context-Protocol (MCP) server, giving your AI coding assistant access to the full power of Chrome DevTools for reliable automation, in-depth debugging, and performance analysis.

A curated list of awesome command-line frameworks, toolkits, guides and gizmos. This awesome collection is also available on Unix-Shell.ZEEF.com.

Geospatial analysis, or just spatial analysis, is an approach to applying statistical analysis and other analytic techniques to data which has a geographical or spatial aspect. with GNSS (global navigation satellite system).

Built on iii engine Persistent memory for Claude Code, GitHub Copilot CLI, Cursor, Gemini CLI, Codex CLI, Hermes, OpenClaw, pi, OpenCode, and any MCP client. English | 简体中文 | 繁體中文 | 日本語 | 한국어 | Español | Türkçe | Русский | हिन्दी | Português | Français | Deutsch The gist extends Karpathy's LLM Wiki pattern with confidence scoring, lifecycle, knowledge graphs, and hybrid search: agentmemory is the implementation.