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ByteByteGo Newsletter

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 AI-Native Leaders: The Organizational Playbook for Engineering Transformation at Scale EP219: 12 Open-source LLMs Observability for Beginners: Logs, Metrics, Traces, and Everything Around Them LAST CALL FOR ENROLLMENT: Build with Claude Code - Cohort 2 How Open-Weight Models Changed the AI Landscape A Guide to AI Inference Engineering EP218: The Typical AI Agent Stack, Explained Must- Know Deployment Strategies: From Big-Bang to Progressive Delivery Love Teaching? ByteByteGo Is Hiring Part-Time AI & Engineering Instructors What Salesforce Learned from 20,000 Enterprise Agent Deployments Token Spend Out of Control? The Case for Smarter Routing EP217: Latency vs Throughput vs Bandwidth The Path of a Request: A Tour of Modern Web Architecture How OpenAI Built Its Data Agent A Practical Guide to Becoming an AI-Native Engineer How DoorDash Built a Testing System to Evaluate LLMs Must-Know Failure Modes in Distributed Systems How Airtable Built the Search Layer Behind Their AI Features How Vercel Cut Build Wait Times From 90 Seconds To 5 How CockroachDB Built Vector Indexing at Scale EP216: RAGs vs Agents 🚀 New cohort based course launch: Build with Claude Code A Guide to Async Patterns in API Design How Netflix is Using Multimodal AI to Power Video Search How Snapchat Serves a Billion Predictions Per Second How Grab is Using AI Agents to Boost Team Productivity EP215: The Anatomy of an AI Agent LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 6 A Guide To Event-Driven Architectural Patterns High Performance Rate Limiting at Databricks How Figma Upgraded Data Pipeline from Multi-Day Latency to Real-Time How Pinterest Built a Production MCP Ecosystem EP214: Claude Code vs. OpenClaw: 5 Design Dimensions Become an AI Engineer | Enrollment Ends Soon Container Design Patterns for Distributed Systems How Instacart Built a Search for Billions of Products Connecting LLMs to the Real World: Tool Use, Function Calling, and MCP EP213: MCP vs Skills, Clearly Explained A Beginner’s Guide to Kubernetes The Tech Stack Powering Wise How Stripe Detects Fraudulent Transactions Within 100 ms How Amazon Uses LLMs to Recommend Products EP212: Data Warehouse vs Data Lake vs Data Mesh B-Trees vs LSM Trees: Comparison and Trade-Offs How DoorDash Launches a New Country in One Week The Security Architecture of GitHub Agentic Workflow EP211: How the JVM Works A Guide to Relational Database Design Figma Design to Code, Code to Design: Clearly Explained How LinkedIn Feed Uses LLMs to Serve 1.3 Billion Users EP210: Monolithic vs Microservices vs Serverless Must-Know Cross-Cutting Concerns in API Development How Spotify Ships to 675 Million Users Every Week Without Breaking Things Nextdoor’s Database Evolution: A Scaling Ladder A Guide to Context Engineering for LLMs EP209: 12 Claude Code Features Every Engineer Should Know Database Performance Strategies and Their Hidden Costs How Datadog Redefined Data Replication How Meta Turned Debugging Into a Product How Roblox Uses AI to Translate 16 Languages in 100 Milliseconds EP208: Load Balancer vs API Gateway LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 5 How to Implement API Security How Anthropic’s Claude Thinks How Netflix Live Streams to 100 Million Devices in 60 Seconds How Agentic RAG Works? Last Chance to Enroll | Become an AI Engineer | Cohort-Based Course EP207: Top 12 GitHub AI Repositories Event Sourcing Explained: Benefits and Use Cases How OpenAI Codex Works
Our New Book on Behavioral Interviews Is Now Available on Amazon
2026-04-03 · via ByteByteGo Newsletter

The book is written by Steve Huynh and published by ByteByteGo. Steve is a former principal engineer at Amazon. His ability to break down complex interview dynamics into clear, actionable advice made this book possible. Still, it took us two years to get it ready.

Check It Out Now

Here’s what’s inside:

- 130+ interview questions, from the most common to the ones that catch candidates off guard

- 72 example stories showing what strong answers look like, from entry level to principal

- Clear guidance on what interviewers look for, including key signals and red flags

- High-Signal Storytelling, a framework to build a story bank for any behavioral interview

- A practical prep plan and interview-day techniques for follow-ups and unexpected questions

Note: the book will also be available in India in a week or two.

Check It Out Now

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