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wise-introvert / claude-agent-tutorial.md
Created March 16, 2026 14:58 — forked from dabit3/claude-agent-tutorial.md
The Complete Guide to Building Agents with the Anthropic Agent SDK

Building AI agents with the Claude Agent SDK

If you've used Claude Code, you've seen what an AI agent can actually do—read files, run commands, edit code, figure out the steps to accomplish a task.

And you know it doesn't just help you write code, it takes ownership of problems and works through them the way a thoughtful engineer would.

The Claude Agent SDK is the same engine, yours to point at whatever problem you want, so you can easily build agents of your own.

The Claude Agent SDK is how you build that same thing into your own applications.

Simple Guide: Getting Your Google Knowledge Panel

A Step-by-Step Guide for Doctors (No Technical Skills Required)


What You Need to Know First

What is a Google Knowledge Panel?

Coffee Bean Processing Methods - Karafa Tasting Kit Analysis

Here’s what turns up for each bean, with a clear line between evidence and speculation.


Summary table

Menu name Best‑guess process Evidence & reasoning Confidence

Pocket Alternatives

You're looking for a read‑it‑later + bookmarking system, without self‑hosting, with strong cross‑platform support, import/export, tagging, and ideally archival and integrations.

Below are solid candidates ranked by how closely they match those requirements.


Directory structure:
└── src/
├── babel.test.config.json
├── constants.ts
├── core-scripts.interface.ts
├── current-admin.interface.ts
├── index.ts
├── backend/
│ ├── index.ts
│ ├── actions/
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wise-introvert / cloudSettings
Last active January 30, 2026 15:56
Visual Studio Code Settings Sync Gist
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wise-introvert / learning-resources.md
Created August 13, 2024 12:24
List of links and resources to learn programming

Problem-Solving Skills Assessment:

Question

  • Can you describe a recent technical challenge you faced while working on a front-end project? How did you approach it, and what was the outcome?

Example answers

  • Recently, we encountered an issue where our application's performance was degrading significantly when handling a large amount of data. To address this, I conducted a thorough analysis of the codebase to identify any inefficient algorithms or data structures. After pinpointing the bottleneck, I optimized the data fetching process by implementing caching mechanisms and optimizing the algorithms for better time complexity. This not only resolved the performance issue but also improved the overall user experience.
  • In one of my recent projects, we faced a challenge where the application was crashing intermittently due to memory leaks. I began by conducting a detailed code review and identified areas where memory was not being properly managed, particularly in components with heavy state usage. I

Question

Imagine a sophisticated hierarchical data structure in JavaScript that models an organization's intricacies, encompassing details such as employee ID, name, position, department, and subordinates. Your task is to design a function, getEmployeesByPosition(organization, position) ( starting code is provided below ), which takes this organizational data structure as input along with a position ( e.g “Software Engineer” ) and efficiently produces an array containing information about all employees holding the given position within the organization. Your implementation should seamlessly navigate the complexity of the hierarchical data and deliver a clear and concise result. Either use JSPlayground as your environment or any online editor that you're comfortable with.

Organization object:

const organization = {
  id: 1,
  name: "Company",
  type: "Organization",
  employees: [
interface TreeNode {
capacity: number;
children: TreeNode[];
}
const findAverage = (node: TreeNode): number => {
let sum: number = 0,
count: number = 0;
let traverse = (node: TreeNode): void => {