Web101 by Han Is Expanding: From Web Development to Deeper Technical Systems

Since its launch, Web101 by Han has focused primarily on web development fundamentals—covering frontend concepts, implementation details, and practical workflows. As the technical focus behind the blog has expanded, the content direction is evolving as well. This article explains what’s changing, why this shift is happening, and how Web101 by Han will move forward.

Web101 by Han is expanding beyond web development. In addition to frontend and full-stack topics, the blog will now include artificial intelligence, machine learning, algorithms, LeetCode problem analysis, and deeper system-level explanations. The goal is to reflect a broader and more realistic technical landscape.

Over time, the work behind this blog has moved toward understanding how systems actually work—how algorithms behave, how models make decisions, and how technical components interact. Restricting the site to web development no longer reflected that direction. Expanding the scope allows the content to stay aligned with real technical exploration and problem-solving.

A major part of this expansion is AI-related content. Web101 by Han will begin sharing: - Practical AI tools and platforms, including how and when to use them - Core machine learning algorithms, explained from first principles - Clear breakdowns of model behavior, limitations, and trade-offs The focus is not on hype or tool promotion, but on understanding how these systems work and when they make sense to use.

In addition to tools and algorithms, the blog will include summaries of selected AI and machine learning papers. These articles will focus on: - The core idea of each paper - Why the problem matters - How the proposed method works at a high level - Key assumptions and limitations The goal is to make technical papers more approachable without oversimplifying them.

Algorithms and data structures will become a recurring theme. This includes LeetCode-style problems, but with an emphasis on reasoning rather than memorization. Articles will focus on how to think about problems, choose strategies, and understand trade-offs, instead of presenting optimized answers without explanation.

While the scope is expanding, the core principles of Web101 by Han remain unchanged. The blog will continue to prioritize clarity over hype, depth over shortcuts, and explanation over surface-level tutorials. Every topic—whether web development or AI—will be approached with the same structured mindset.

Readers can expect more concept-driven articles, deeper technical reasoning, and clearer explanations of complex systems. Content may shift toward fewer beginner walkthroughs and more long-term learning material aimed at building real understanding.

This expansion will happen gradually. Existing content will remain available, and new AI- and algorithm-focused articles will be added alongside it. The structure of the site will evolve naturally as new topics are introduced.

This update marks the next phase of Web101 by Han. By expanding into AI tools, algorithms, and paper analysis, the blog aims to better reflect real technical work and deeper systems thinking—while staying grounded in clarity, precision, and practical understanding.