Shadowgraph

299commits

60contributors

14languages

Tech stack & purpose

Vercel Engineering created this guide to help AI agents and LLMs optimize React and Next.js applications. The document provides 40+ performance rules across eight categories—from critical concerns like eliminating waterfalls and reducing bundle size to incremental optimizations for re-rendering and JavaScript efficiency. Each rule includes detailed explanations, before-and-after code examples comparing incorrect and correct implementations, and specific impact metrics to guide automated refactoring and code generation. The guide is designed primarily for AI-assisted workflows, though humans may find it useful as well.

Community & reference links

Languages

JavaScript

56.0%

Python

35.5%

Standard ML

1.9%

HTML

1.7%

Shell

1.3%

TypeScript

1.0%

HCL

0.6%

Go Template

0.6%

Astro

0.4%

CSS

0.4%

Liquid

0.3%

Swift

0.2%

PowerShell

0.0%

Contributors (top 30 of 60)

cching-openai42 commits
Ashwin Mathews30 commits
Aismit19 commits
Vaibhav Srivastav18 commits
Gav Verma14 commits
Moustafa Elhadary11 commits
Eric Ning10 commits
spasumar-oai9 commits
Casey Chow8 commits
Dibyo Majumdar8 commits
Thomas Ricouard7 commits
xl-openai7 commits
Drew7 commits
florence-oai7 commits
Jason Douglas7 commits
ambroise-oai7 commits
ssetty-oai6 commits
James Russo6 commits
mifan-oai5 commits
kk-oai4 commits
Dominik Kundel4 commits
Soheil Norouzi4 commits
Max Stoiber4 commits
william-openai4 commits
soyeon-oai4 commits
paris-oai3 commits
jameswt-oai3 commits
felixxia-oai3 commits
Dino Hamzić2 commits
Ed Bayes2 commits