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ByteByteGo Newsletter

Why An LLM’s Memory Gets Expensive and How to Fix It LLM Security Basics: The Full Threat Model Hiring: Part Time Instructor, Write Production Grade Code with AI A Detailed Guide to Idempotency, Delivery Semantics, and Deduplication How ChatGPT Optimizes its Agent Loop: Harness, API, and Inference Why DoorDash, Instacart, and Uber Eats Integrated LLMs Into Search Three Different Ways How NVIDIA Builds Open Models for the Age of AI A Beginner’s Guide to Clocks, Causality, and Ordering in Distributed Systems Best Practices for Building AI Agents That Work in Production Inside Roblox’s Bet on World Models MCP vs A2A vs ACP: How AI Agents Actually Talk to Each Other A Guide to Multi-Tenancy: Benefits and Challenges AI Customer Support at Scale: The Travel Industry’s $Billion Bet How LLMs Learn to Be Helpful (RLHF vs DPO) How Microsoft Ships AI Agents at Enterprise Scale EP221: How Docker Works Under the Hood LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 7 Streaming vs Batch: Two Philosophies of Data Processing The Agent Loop: How AI Goes From Answering Questions to Doing Things ChatGPT vs Gemini vs Claude: How They Differ LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 7 Proof of Human: How to Verify a Person Is Real and Unique Multi-Region Architecture: Going Global Without Going Broke How OpenAI Delivers Low-Latency Voice AI for 900M Users Inside Thinking Machines’ Interaction Models How AI Agents Manage Memory and Avoid Forgetfulness EP220: RAG vs Graph RAG vs Agentic RAG Top Anti-Patterns to Avoid in Service Architecture Large Language Models vs Small Language Models An Ex-Meta L8’s Agentic Engineering Setup
🚀 New cohort based course launch: Build with Claude Code
ByteByteGo · 2026-05-22 · via ByteByteGo Newsletter

We’re launching a new 2 day intensive, cohort based course called Build with Claude Code, taught by John Kim, who has trained hundreds of engineers at Meta to use Claude Code in real production workflows.

The course starts soon on May 28.

Check it out now

A few things you’ll learn:

  • The agentic loop, context engineering, and memory layers that make Claude Code useful for real projects

  • How to build with Claude Code Skills, MCPs, and hooks to give Claude the tools and feedback loops it needs to self correct

  • Parallel development with Git worktrees, subagents, and agent teams

  • A capstone project where you ship something real on your own stack

The course includes live sessions, assignments, and office hours, so there’s plenty of room to ask questions and get unstuck.

The first cohort starts in just a few days: May 28 to 29, 2026. If you want to learn everything from the fundamentals of Claude Code to advanced production workflows, including working with large codebases, this could be a great way to level up.

Check it out now

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