llm-driven-system-design: Instructions file for Codex

AGENTS.md

llm-driven-system-design AGENTS.md is an instructions file for Codex, OpenCode from evgenyvinnik/llm-driven-system-design. It costs 7,701 tokens per session, scanned A, original, MIT.

Repository instructions for a system-design learning project. A repository is a code project's files and history; system design describes how a software system is structured.

In plain words
What is it for?
Use them when starting a project, reading its architecture, writing design documents, or checking the expected technology and coding practices.
Why use it?
They give coding agents the project context, development commands, architecture rules, and writing conventions they need to work consistently.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md; mentions Codex.

This is evgenyvinnik/llm-driven-system-design's own configuration. It tells Codex and OpenCode how to work on llm-driven-system-design itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything llm-driven-system-design configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is vi.mock('../shared/db.js', () => ({.

Reuse

Borrowing it

Nothing to install: this file belongs to evgenyvinnik/llm-driven-system-design. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/evgenyvinnik/llm-driven-system-design/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/evgenyvinnik/llm-driven-system-design

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 7,701 This file is loaded in full into every session.
When invoked 7,701 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.07701 $0.07701
Opus 5 $0.03851 $0.03851
Sonnet 5 $0.01540 $0.01540
Haiku 4.5 $0.00770 $0.00770

Measured 7d ago against content hash f5dd6040ea42, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

llm-driven-system-design AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 699 lines

How it starts

The opening of the file, as written. The whole thing — 699 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides guidance to Codex (Codex.ai/code) when working with code in this repository.

Table of Contents

Repository Overview

This is a system design learning repository where each subdirectory represents an independent system design challenge. Most projects have both design documentation and working implementations.

Node.js Requirement: >=20.0.0

Quick Start for Any Project

  1. Read the project's architecture.md first to understand the design
  2. Check AGENTS.md for iteration history and key decisions (primary source of truth for project-specific guidance - captures the "why" behind implementation choices)
  3. Look at README.md for setup instructions
  4. Check package.json to find available scripts

Project Structure

Each project folder typically contains:

<project>/
├── README.md                  # Setup instructions and implementation guide
├── architecture.md            # System design documentation and trade-offs
├── system-design-answer-frontend.md   # Frontend-focused interview answer
├── system-design-answer-backend.md    # Backend-focused interview answer
├── system-design-answer-fullstack.md  # Full-stack interview answer
├── AGENTS.md                  # LLM collaboration notes and iteration history
├── frontend/                  # React + TypeScript frontend (when applicable)
├── backend/                   # Node.js + Express backend (when applicable)
├── training/                  # ML training code (Python, when applicable)
└── docker-compose.yml         # Infrastructure services (PostgreSQL, Redis, etc.)

Read the full file on GitHub · 699 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 699 lines · 7,701 tokens per session scan A f5dd6040ea42

Subscribe to this mod's changes

llm-driven-system-design AGENTS.md is an instructions file published in the GitHub repository evgenyvinnik/llm-driven-system-design (55 stars, last pushed 26d ago), licensed MIT. It adds 7,701 tokens to every session, about $0.0385 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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