Skip to main content
CF

Build with Claude Code

8h 44m 21s
English
Paid

Build with Claude Code is a 5-lesson 8 hours 44 minutes self-paced course by ByteSizeGo, John Kim. "Building with Claude Code" — a practical intensive course designed to help you quickly and confidently master the official Anthropic CLI agent : from running initial commands to building autonomous multi-agent systems.

Course facts

Lessons
5
Duration
8 hours 44 minutes
Level
All levels
Language
English
Updated
Instructor
ByteSizeGo, John Kim
Price
Premium

"Building with Claude Code" — a practical intensive course designed to help you quickly and confidently master the official Anthropic CLI agent: from running initial commands to building autonomous multi-agent systems. The course is created for those who want to work faster, write cleaner, and use Claude at the engineering team level.

Who this course is for

  • Beginners: if you want to start learning Claude Code from scratch.
  • Experienced users: if you're already using the tool but want to reach an advanced level.
  • Architects and team leads: if you need to implement agent workflows and build multi-agent processes.
  • Practical engineers: if your goal is to assemble production-grade solutions turnkey.
  • Those who value a strong environment: if you want to learn in an active community and grow rapidly by sharing experiences.

Key features of the course

  1. Step-by-step practical track: minimum theory, maximum work in the terminal.
  2. Clear explanations: complex AI architectures explained in simple terms.
  3. Debugging real workflows: focused on error handling and maintaining production code.
  4. Starter code: ready-to-run projects.
  5. 5-pillar methodology: a step-by-step approach to creating autonomous agents.

Course program

Session 1: Fundamentals of Claude Code

May 28, 2026 | 5:00 PM – 8:00 PM (PT) | Live webinar

Basics of Claude Code

  • Agent cycle: data collection — action — verification.
  • Installation, first interactive session, slash commands, and hotkeys.
  • Access system and permission modes: Default, acceptEdits, plan, dontAsk, bypassPermissions.

Context Engineering

  • Context window as working memory. The "fresh and condensed" principle.
  • Context management commands.
  • Memory layers: CLAUDE.md, Second Brain, auto-memory, lazy loading.

Automation with Skills

  • Skills as reusable workflows. Anatomy of SKILL.md.
  • Custom skills, skill composition.

Independent practice:

  • Onboarding in new code: repository audit, architectural guide, onboarding guide.
  • Verification: initialization of CLAUDE.md and migration of legacy code.
  • Creating a skill: log triage, API integration, pipeline assembly /triage-logs.

Session 2: Scaling — MCP, Parallel Agents, and Agentic Engineering

May 29, 2026 | 5:00 PM – 8:00 PM (PT) | Live webinar

MCP, CLI, and agent toolkit

  • Model Context Protocol and its setup.
  • When MCP should not be used.
  • Browser automation via /chrome: navigation, screenshots, GIFs.
  • Self-correcting cycle: assembly — verification — fixes — verification.
  • Lifecycle of hooks.

Parallel development and validation

  • Git worktrees for safe parallel streams.
  • Multi-agent workflows and distributed work of multiple Claudes.
  • Sub-agents vs. agent teams.
  • Notification hooks.
  • Visual regression testing via /chrome.

5 pillars of Agentic Engineering

  • Typical scaling issues: context, skills, review.
  • Compound engineering and codebase audit.

Independent practice:

  • Integration of Claude via MCP: Figma, Blender, Slack, Notion.
  • Parallel assembly of a Full‑Stack application: independent worktrees, single API contract.
  • Diploma project: own solution or PRD: CodeCoach, Korridor, Wordle iOS.

Q&A Session

June 4, 2026 | 5:00 PM – 7:00 PM (PT)

Requirements for participants

  • Claude Pro subscription or higher.
  • Basic skills in using the terminal and Git.
  • Ability to write code in at least one programming language.

Who teaches Build with Claude Code?

ByteSizeGo

ByteSizeGo thumbnail

ByteSizeGo is a Go-focused course platform run by Aaron Lee, focused on the production / debugging side of Go engineering rather than language tour material. The platform's distinctive contribution is the Foundations of Debugging series, which teaches the systematic skill of debugging Go services in production rather than relying on ad-hoc print statements.

The CourseFlix listing carries six ByteSizeGo courses: Foundations of Debugging for Golang, The Ultimate Guide to Debugging With Go, The Anatomy of Go, Building Production-Ready Services with gRPC and Go, AI Engineering with Go, and The Art of Command Line Interfaces. Material is paid and aimed at working Go developers ready to deepen the operational side of their craft.

John Kim

John Kim thumbnail
John Kim is a Staff Software Engineer at Meta with over a decade of experience in mobile, cloud, and full-stack web development. Within Meta, he has trained hundreds of engineers in the effective use of Claude Code, helping teams move beyond simple AI code autocompletion to fully agentic workflows for releasing production code.

What lessons are included in Build with Claude Code?

This is a demo lesson (10:00 remaining)

You can watch up to 10 minutes for free. Subscribe to unlock all 5 lessons in this course and access 10,000+ hours of premium content across all courses.

View Pricing
0:00
/
#1: 001 Live Session 1 (Thursday, 0528, 5 PM PT)
All Course Lessons (5)
#Lesson TitleDurationAccess
1
001 Live Session 1 (Thursday, 0528, 5 PM PT) Demo
03:10:57
2
002 Assignments Practice the Foundations
43:40
3
003 Live Session 2 (Friday, 05/29, 5 PM PT)
02:16:35
4
004 Assignments: Build at Scale
28:25
5
005 Live Office Hour (Thursday, 0604, 5 PM PT)
02:04:44
Unlock unlimited learning

Get instant access to all 4 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.

Learn more about subscription

What courses are similar to Build with Claude Code?

More courses by ByteSizeGo

Frequently asked questions

What are the prerequisites for enrolling in this course?
The course is designed for both beginners and experienced users. Beginners can start learning Claude Code from scratch, while experienced users can deepen their understanding and reach an advanced level. There is no specific prerequisite other than a basic familiarity with CLI tools, which will help you follow along with the practical exercises.
What can I expect to build during this course?
Participants will work on building autonomous multi-agent systems using the Anthropic CLI agent. The course includes starter code and projects that allow students to create production-grade solutions. Practical exercises focus on assembling agent workflows and building multi-agent processes, providing hands-on experience in deploying robust systems.
Who is the target audience for this course?
This course is suitable for a range of learners: beginners looking to start with Claude Code, experienced users aiming to advance their skills, architects and team leads needing to implement agent workflows, and practical engineers focused on production-ready solutions. It also appeals to those who value learning in a collaborative environment.
How does the depth of this course compare to similar courses?
This course focuses on practical application with minimal theory, emphasizing work in the terminal and providing clear explanations of complex AI architectures. It includes debugging real workflows and maintaining production code, making it more hands-on compared to other courses that might focus more on theoretical aspects.
Does the course cover the installation and initial setup of Claude Code?
Yes, the course begins with fundamentals and includes a session on installation and the first interactive session. It covers slash commands, hotkeys, and system access and permission modes, ensuring students can confidently start using Claude Code.
What is not covered in this course?
The course does not cover non-Anthropic CLI tools or broader AI topics outside the scope of building with Claude Code. It focuses specifically on mastering the Anthropic CLI agent, so learners seeking knowledge on other AI platforms or programming languages will need to look elsewhere.
What is the time commitment required for this course?
The course includes live sessions and assignments spread over two weeks. Live sessions occur in the evenings at 5 PM PT. Additional time will be needed for assignments and practice, though the exact time will vary depending on your familiarity with the material and pace of learning.