ByteByteGo Newsletter

The “ByteByteGo Newsletter” likely delves into a variety of topics related to Python programming, machine learning, and AI based on the content of the referenced documents. It may cover discussions on Python speed optimization, AI applications like Langchain for conversation history retention, and the challenges of enterprise RAG implementations. The newsletter could provide insights on data augmentation for machine learning models, the significance of deterministic architectures in AI, and the importance of understanding and utilizing big data effectively. Overall, it seems to offer a blend of technical insights, practical examples, and industry trends in the realm of programming and AI.

Visit ByteByteGo Newsletter

How to Scale An API

In this article, we will learn how to scale APIs effectively using different strategies.

How to Write High-Performance Code

ByteByteGo Newsletter

This article is about that critical 3%, where we’ll explore how to estimate performance impact, when to measure, what to look for, and practical techniques that work across different programming langu...

How Google Manages Trillions of Authorizations with Zanzibar

ByteByteGo Newsletter

In this article, we will look at the high-level architecture of Zanzibar and understand the valuable lessons it provides for building large-scale systems, particularly around the challenges of distrib...

How Cursor Shipped its Coding Agent to Production

ByteByteGo Newsletter

Cursor’s engineering team has shared technical details and challenges from building Composer and shipping their coding agent into production. This article breaks down those engineering challenges and ...

EP199: Behind the Scenes: What Happens When You Enter Google.com

ByteByteGo Newsletter

Most of us hit Enter and expect the page to load instantly, but under the hood, a surprisingly intricate chain of events fires off in milliseconds.

We are hiring at ByteByteGo

ByteByteGo Newsletter

I am hiring for 2 roles: Technical Deep Dive Writer (System Design or AI Systems), and Lead Instructor (Building the World’s Most Useful AI Cohort).

The Must-Know Fundamentals of Distributed Systems

ByteByteGo Newsletter

In this article, we will look at five foundational topics around distributed systems: how computers communicate across networks, the protocols enabling reliable communication, how remote procedure cal...

How Netflix Built a Real-Time Distributed Graph for Internet Scale

ByteByteGo Newsletter

Disclaimer: This post is based on publicly shared details from the Netflix Engineering Team. Please comment if you notice any inaccuracies.

How Pinterest Built An Async Compute Platform for Billions of Task Executions

ByteByteGo Newsletter

When Pinterest’s engineering team built their asynchronous job processing platform called Pinlater a few years ago, it seemed like a solid solution for handling background tasks at scale.

Why AI Needs GPUs and TPUs: The Hardware Behind LLMs

ByteByteGo Newsletter

In this article, we will look at how GPUs and TPUs help build modern LLMs and the architecture behind them.

EP198: Best Resources to Learn AI in 2026

ByteByteGo Newsletter

The AI resources can be divided into different types such as

Last Call: Enrollment for the AI Engineering Cohort 3 Ends Today

ByteByteGo Newsletter

Our very first cohort of Becoming an AI Engineer starts in one day. This is a live, cohort-based course created in collaboration with best-selling author Ali Aminian and published by ByteByteGo.