The Identity Provider (IdP): This entity is responsible for authenticating a user and then "issuing" a signed JWT. It holds the private key.
The Service Provider (SP): This is our simulated service. It needs to verify incoming JWTs to grant access. It holds the corresponding public key.

Prepare the project (Node.js):
```sh
mkdir jwt-simulation
cd jwt-simulation
npm init -y
npm install jsonwebtoken
```

Identity Provider (IdP) x  Service Provider (SP)

Complete table of all current and recent Amazon EKS Kubernetes versions, including their standard and extended support end dates, as listed in the official AWS documentation.
https://docs.aws.amazon.com/eks/latest/userguide/kubernetes-versions.html

AWS EKS Support Periods and Versions

 It gathers information on screen dimensions, browser viewport size, and the device's pixel ratio, which is crucial for understanding how things are rendered on high-DPI (or "Retina") displays.



Console Script to Gather Display Information

Script to create a sorted version of a CSV in case column date is on this format: DD/MM/YYYY

Sort CSV by DD/MM/YYYY column

 Immediately Invoked Function Expression (IIFE)
--
The script finds all images within elements having the class .masonry-brick, changes their URLs to point to what is presumed to be a much larger version of the same image, and then copies the complete list of these new URLs to the clipboard, with each URL on a new line. This is a typical automation script one might run in a browser's developer console to quickly grab high-resolution image links from a gallery-style webpage.

Scrap all images from a page (IIFE)

tRPC is designed to provide end-to-end type safety by leveraging TypeScript's type inference, allowing developers to avoid manually writing types for API contracts. This approach is a core part of its developer experience and a key reason for its popularity in the TypeScript community.
How tRPC Handles Types
Type Inference by Default: tRPC automatically infers input and output types from your procedures and schemas (often defined with libraries like Zod), so you rarely need to explicitly annotate types in most of your codebase.

No Extra Schemas: Unlike tools like OpenAPI or GraphQL, tRPC does not require separate schema definitions or code generation steps. Types flow directly from your backend procedures to your frontend consumers.

Colocated Types: Types are often defined alongside the functions that use them, and can be exported for use elsewhere if needed, but explicit type definitions are minimized unless you want to share types across boundaries (e.g., separate repos).

tRPC

To optimize AI interaction with your codebase, .windsurfrules files should employ XML-like tags (e.g., <tag_name>) to group related rules, ensuring clarity, precision, and scalability. This structured approach is vital as rule sets expand.

Key categories to encapsulate within these tags include <clarityAndSpecificity> for unambiguous rule definition, <projectContext> for details on tech stack, style, and structure, and <codingStandards> for referencing style guides and organization. Additionally, <frameworkAndLibraryUsage> should specify required tools, <safeEditingAndRestrictions> should list non-modifiable elements and restricted APIs, and <maintainability> should guide the ongoing updating of rules in line with project evolution and global Windsurf standards.

.windsurfrules

A concise guide for AI programmers to configure and utilize SWE-agent to autonomously address and resolve issues documented on GitHub.
https://swe-agent.com/1.0/usage/cl_tutorial/

Parameters:

--agent.model.name: Specifies the AI model (e.g., claude-3-7-sonnet-latest).
--agent.model.per_instance_cost_limit: Sets the maximum cost for processing a single instance.
--env.repo.github_url: The URL of the repository SWE-agent will work on.
--problem_statement.github_url: The URL of the specific GitHub issue to address.

SWE-agent: GitHub Issue Resolution Cheatsheet

Node.js Module Types

Jumpstart Collections

Anthropic API guide. Access large language model capabilities for text generation, analysis, and task completion in applications via API calls.

Anthropic API

CVE-2025-1974: ELB + Ingress-Nginx Exposure Analysis
Bottom line: External traffic through your ELB isn't the attack vector

CVE-2025-1974: ELB + Ingress-Nginx Exposure Analysis

Core object-oriented design guidelines for creating more maintainable, flexible, and scalable software systems. Promotes modular architecture and reduces code dependencies.

SOLID Principles

This HTML template provides a structured framework for document analysis tools. It offers a clean, responsive layout for displaying analyzed text, statistics, and insights. Perfect for developers building web-based document processing applications, it streamlines the presentation of complex data in an easily digestible format.

HTML Template (Document Analyzer)

CSV Duplicates Identifier

About

A comprehensive guide to evaluating multi-class classification performance for AI agents with hierarchical categorization systems.

Multi-Class Classification Evaluation for AI Agents

Learn how to use JSON Schema and a central registry to manage data contracts in a microservices architecture.

Schema-First: JSON Schemas for Microservice Data Contracts

Learn how to scale your n8n workflows from a single Docker container to a resilient, multi-replica Kubernetes setup using PostgreSQL and queue mode.

Scaling n8n: From Local Docker to Robust Kubernetes Deployments

Explore the AHA Stack (Astro, HTMX, Alpine.js) – a powerful trio for building fast, server-rendered web applications with minimal client-side JavaScript.

The AHA Stack: MPA / Web Development, Simplified

Explore typical career paths for Software Engineers, from foundational roles to technical leadership and management tracks. Includes a visual guide and key considerations for growth.

Software Engineer Career Paths

Quickly learn to automate web tasks like form filling using Claude and Playwright Model Context Protocol (MCP).

Fractional CTO Services
for your Artificial Intelligence
Web & Mobile Apps

What We Build

Bespoke Web, Android and iOS Applications

AI & Automation

Cloud & DevOps

See what we have been working on

Multi-Class Classification Evaluation for AI Agents

Schema-First: JSON Schemas for Microservice Data Contracts

Scaling n8n: From Local Docker to Robust Kubernetes Deployments

Let's Build Something Great

Fractional CTO Servicesfor your Artificial IntelligenceWeb & Mobile Apps

What We Build

Bespoke Web, Android and iOS Applications

AI & Automation

Cloud & DevOps

See what we have been working on

Multi-Class Classification Evaluation for AI Agents

Schema-First: JSON Schemas for Microservice Data Contracts

Scaling n8n: From Local Docker to Robust Kubernetes Deployments

Let's Build Something Great

Fractional CTO Services
for your Artificial Intelligence
Web & Mobile Apps