Bytebytego

The Big Archive for System Design - 2023 Edition (PDF) is available now. And it's completely FREE. The PDF contains 𝐚𝐥𝐥 𝐦𝐲 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐩𝐨𝐬𝐭𝐬 published in 2023. What’s included in the PDF? 🔹 Netflix's Tech Stack 🔹 Top 5 common ways to improve API performance 🔹 Linux boot Process Explained 🔹 CAP, BASE, SOLID, KISS, What do these acronyms mean? 🔹 Explaining JSON Web Token (JWT) to a 10 year old Kid 🔹 Explaining 8 Popular Network Protocols in 1 Diagram 🔹 Top 5 Software Architectural Patterns 🔹 OAuth 2.0 Flows 🔹 What does API gateway do? 🔹 Linux file system explained 🔹 18 Key Design Patterns Every Developer Should Know 🔹 Best ways to test system functionality 🔹 Top 6 Load Balancing Algorithms 🔹 Top 12 Tips for API Security 🔹 𝐀𝐧𝐝 100+ 𝐦𝐨𝐫𝐞 – Like, follow and subscribe to our newsletter to receive the PDF download link: bit.ly/3KCnWXq

How does REST API work?

🚀 Last Day to Enroll: Become an AI Engineer | By building, not just watching | Cohort 5! After the amazing response to our first four cohorts, with over 1,000 people joining, we’ve made improvements to the course and are excited to announce the next round of Become an AI Engineer. This is not your typical AI course focused only on tools and frameworks. The mission is simple: help engineers build strong foundations and practical end to end skills to grow confidently into AI engineering roles. What makes this cohort stand out: - Learn by building: You will create real world AI applications instead of just watching videos - Clear and structured path: A thoughtfully designed curriculum that takes you from core concepts to advanced topics, step by step - Live feedback and mentorship: Get hands on guidance from instructors and learn alongside peers - Strong community: Learning is faster and more motivating when you are not doing it alone We care deeply about skill building, not passive learning or surface level theory. The goal is for every participant to leave with the confidence and ability to build real AI systems. Today is the last day to enroll before it starts. -- Check it out here: go.bytebytego.com/ai-tw-post

A Cheat Sheet on The Most-Used Linux Commands

REST vs gRPC

Session-Based vs JWT-Based Authentication

Load Balancer vs API Gateway

🚀 Last Week to Enroll: Become an AI Engineer | By building, not just watching | Cohort 5! This is a live, cohort-based course created in collaboration with best-selling author Ali Aminian and published by ByteByteGo. Here’s what makes this cohort special: - Learn by doing: Build real world AI applications, not just by watching videos. - Structured, systematic learning path: Follow a carefully designed curriculum that takes you step by step, from fundamentals to advanced topics. - Live feedback and mentorship: Get direct feedback from instructors and peers. - Community driven: Learning alone is hard. Learning with a community is easy! We are focused on skill building, not just theory or passive learning. Our goal is for every participant to walk away with a strong foundation for building AI systems. If you want to start learning AI from scratch, this is the perfect platform for you to begin. Check it out here: go.bytebytego.com/ai-tw-post

What is MCP?

How hackers usually steal passwords

Writing code is easy now, but testing code is hard. Let’s take a look at where different types of tests fit. How do you test your code?

How Single Sign-On (SSO) Works

Top 12 GitHub AI Repositories These repositories were selected based on their overall popularity and GitHub stars.

How LLMs Use AI Agents with Deep Research

10 Types of API Testing

How AI Actually Generates Images There are two main ways modern models generate images: auto-regressive and diffusion. Auto-regressive models generate an image piece by piece. During training, an image is split into tokens, and the model learns to predict them one by one, just like text. It minimizes next-token prediction loss over image tokens. At inference time, the model predicts one image token at a time until the full image is formed. Diffusion models start from pure noise and iteratively denoise it. During training, we add noise to real images and train the model to predict that noise. At inference time, the model starts from random noise and iteratively denoises it into a clean image. Auto-regressive is like drawing a dog stroke by stroke in sequence. Diffusion is like starting with a rough sketch (coarse shapes), then progressively adding detail and cleaning up the picture. Over to you: Which text-to-image model do you find most powerful?

What’s Next in AI: 5 Trends to Watch in 2026 Chapters 00:00:00 Intro 00:00:43 Reasoning 00:02:26 Agents 00:03:39 Coding 00:04:50 Open-weights 00:05:39 Multimodal

Top Cyber Attacks Explained Here’s a quick look at how some of the most common attacks work: Phishing: The attacker sends a fake link pointing to a spoofed login page. The victim enters credentials, the attacker captures them, and uses them to access the real system. Ransomware: The victim opens a malicious attachment or file. The ransomware encrypts local data and demands payment to restore access. Files stay locked until the ransom is paid or a backup is restored. Man-in-the-Middle (MitM): The attacker positions themselves between the victim and the server, intercepting traffic in both directions. Neither side detects the interception. The attacker can read or modify data as it passes through. SQL Injection: Malicious SQL gets inserted into an input field, for example, studentId=117 OR 1=1. The database executes it as a valid query and returns data it shouldn't. A single vulnerable input field can expose an entire table. Cross-Site Scripting (XSS): A malicious script gets injected into a legitimate page. When another user loads that page, their browser executes the script. Session tokens, cookies, and private data can be stolen this way. Zero-Day Exploits: The attacker finds a vulnerability the vendor hasn't discovered yet. No patch exists. The attack runs until the vendor identifies the issue and ships a fix, which can take days or weeks. Over to you: Which of these attacks have you seen most often in real environments, and which one do you think is the hardest to defend against today?

How can Cache Systems go wrong?

Top 4 API Gateway Use Cases

CPU vs GPU vs TPU