Bytecode to Pixels — A Field Map of Chromium's Rendering Pipeline
A stream of bytes from the network must cross 13 stages, 3 processes and 4 property trees before it can light a single pixel. Source paths, class hierarchies, algorithm skeletons and diagrams for every stage.
JavaScript at the Limit — V8 Internals and One Hot Function's Road to 10×
How to diagnose a slow piece of JS, locate its bottleneck, and rewrite it ten times faster using V8 internals as a guide. A 20-chapter methodology — one real px2rem function takes the trip from ~240ms to ~24ms / 1M iters, each cut mapping to a concrete V8 mechanism.
Measuring «Smoothness» — From FrameTime to Stutter
A discriminator language for the experience of lag. From FrameTime to Stutter — why high frame rates can still feel choppy, and what the machine sees the moment your eyes say it is stuttering.
How to Build a High-Performance Mini-Game Container — The Evolution & Tech Behind Helio
One year — from kickoff in 2023 to surpassing WebView in 2024. The complete engineering retrospective for a cross-app mini-game container, with 44 hand-built visualizations.
Claude 101: An Interactive Tour of Claude Code from the AI's Point of View
Claude 101 is an interactive learning site that uses 16 deep chapters, annotated real source code, and animated visualizations to teach you Claude Code's complete architecture — from the AI's first-person perspective.
Claude Code's Memory System, Explained
A deep dive into Claude Code's Memory system — its 5-layer architecture, 4 memory types, write/retrieve/delete flows, and the three-layer safety mechanism.
A Visual Guide to OpenHarness: Recreating Claude Code's Agent Architecture in 3% of the Code
OpenHarness is an open-source project from HKU's HKUDS group that recreates Claude Code's Agent Harness architecture in pure Python — 98% tool coverage in just 11,733 lines of code.
Understanding AI Coding Through Cybernetics
Cybernetics' feedback loop model maps perfectly onto the AI Coding workflow. From negative feedback loops to Plant complexity to the evolution of control strategies, this framework lets you rethink the nature of human-AI collaboration.