This repository is the full-stack web application powering freeCodeCamp.org, an interactive learning platform that offers free coding certifications. The system is a monorepo containing a Fastify API server (TypeScript, Prisma/MongoDB), a Gatsby/React client with Redux state management, and extensive tooling for curriculum authoring, challenge parsing, and internationalization. Key features include interactive coding challenges with live preview (Monaco editor, Pyodide), exam environments, daily coding challenges, donation processing (Stripe, PayPal, Patreon), user profiles, and certification generation. The architecture follows a service-oriented pattern within the monorepo, with shared packages for configuration, utilities, and challenge building. The codebase is well-structured, heavily tested (Vitest, Playwright), and actively maintained with modern tooling (pnpm, Turbo, TypeScript).
This repository is a comprehensive, curated collection of cybersecurity references, scripts, tools, code, labs, and training resources, primarily authored by Omar Santos. It serves as supplemental material for his books, video courses, and live training, covering a vast range of domains including offensive security, defensive security, application security, cloud/container security, hardware/embedded security, AI/ML security, and certification preparation (Cisco, CompTIA, ISC2, etc.). The repo is hybrid in nature: while it contains hundreds of runnable scripts and tools (e.g., network scanners, exploit examples, API security testers, AI-powered log analyzers), its dominant character is that of an educational knowledge base and reference library rather than a deployable application. The content is organized into clear domain directories, with extensive READMEs acting as curated indexes of tools, papers, talks, and labs. The AI security section is particularly well-developed, including course materials on agentic AI, prompt engineering, and the Foundry Security Spec. The repository is actively maintained, with recent commits and automated CI workflows, though the breadth of content introduces risks of link rot and technology churn in fast-moving areas like AI frameworks and certification blueprints.
This repository is a collection of Kubernetes exercises designed for the Certified Kubernetes Application Developer (CKAD) certification preparation. It contains 32 exercises covering core Kubernetes concepts such as pods, deployments, services, volumes, configmaps, secrets, Helm, Kustomize, and more. Each exercise includes instructions and solution files (YAML manifests) that users can apply to a Kubernetes cluster to practice the concepts. The repository also includes a GitHub Actions workflow for validating Kubernetes manifests using kubeconform. While the exercises are well-structured and educational, the codebase primarily consists of static files and exercise-specific configurations with limited reusable components beyond the CI validation workflow.
This repository is a curated 'awesome list' of cybersecurity resources, not a software application. It contains a single README.md file that categorizes and links to external tools, certifications, blogs, training platforms, and security operating systems. There is no executable code, API endpoints, or data pipelines. The project serves as a reference index rather than a functional system. As such, it does not demonstrate software craftsmanship or reusability in the traditional sense. The content is community-driven and updated periodically.
This repository is a curated collection of study resources for the Certified Kubernetes Security Specialist (CKSS) exam. It consists of a README.md file containing organized links to official Kubernetes documentation and third-party references covering all exam domains (cluster setup, hardening, system hardening, microservice vulnerabilities, supply chain security, and monitoring/logging/runtime security). A bookmark HTML file provides browser-accessible versions of the same links. A PDF of the CKSS curriculum is also included. There is no executable code, data pipelines, models, or software architecture. The repository functions purely as a curated study guide or knowledge base, not as a functional application or data analysis project.