Is "gstack — AI Engineering System" free to use?

Most OpenRuna resources are open or CC0-licensed. Check the license shown on this page before commercial use; premium collections are clearly marked as such.

How do I get the best results from this collection?

Replace any placeholders, add your project context, and ask the model to confirm its assumptions first. Iterate over 2–3 follow-up turns rather than expecting a perfect first response.

Does "gstack — AI Engineering System" work with both Claude and ChatGPT?

Yes — it is model-agnostic text, so it runs on Claude, ChatGPT, Gemini, and Cursor. The tips on this page cover each of those assistants specifically.

Where can I find resources related to "gstack — AI Engineering System"?

Scroll to the Related resources section on this page, or open the matching category hub on OpenRuna to find connected prompts, tools, agents, and datasets in the same topic area.

← Collections

gstack — AI Engineering System

Garry Tan's open-source virtual engineering team: plan, design, review, QA, and ship with Claude Code and other agents.

gstack turns AI coding agents into a structured engineering org — office hours for product thinking, multi-perspective plan reviews, design consultation, pre-landing code review, browser QA, security audits, and release automation. Run skills as slash commands in Claude Code, Cursor, Codex, or OpenClaw. All skills are MIT-licensed from [garrytan/gstack](https://github.com/garrytan/gstack).

Source: https://github.com/garrytan/gstack

1.
1 — Product thinking
office-hours
YC Office Hours — two modes. (gstack)
Open
2.
2 — CEO review
plan-ceo-review
CEO/founder-mode plan review. (gstack)
Open
3.
3 — Eng review
plan-eng-review
Eng manager-mode plan review. (gstack)
Open
4.
4 — Design review
plan-design-review
Designer's eye plan review — interactive, like CEO and Eng review. (gstack)
Open
5.
5 — Autoplan
autoplan
Auto-review pipeline — reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. (gstack)
Open
6.
6 — Design
design-consultation
Design consultation: understands your product, researches the landscape, proposes a complete design system (aesthetic, typography, color, layout, spacing, motion), and generates font+color preview... (gstack)
Open
7.
7 — Code review
review
Pre-landing PR review. (gstack)
Open
8.
8 — Security audit
cso
Chief Security Officer mode. (gstack)
Open
9.
9 — QA
qa
Systematically QA test a web application and fix bugs found. (gstack)
Open
10.
10 — Ship PR
ship
Ship workflow: detect + merge base branch, run tests, review diff, bump VERSION, update CHANGELOG, commit, push, create PR. (gstack)
Open
11.
11 — Deploy
land-and-deploy
Land and deploy workflow. (gstack)
Open
12.
12 — Debug
investigate
Systematic debugging with root cause investigation. (gstack)
Open
13.
13 — Retro
retro
Weekly engineering retrospective. (gstack)
Open

Overview

gstack — AI Engineering System: a free, copy-ready collection on OpenRuna. Garry Tan's open-source virtual engineering team: plan, design, review, QA, and ship with Claude Code and other agents.

What this collection does

"gstack — AI Engineering System" is a collection you can copy, adapt, and run with any modern AI assistant. Garry Tan's open-source virtual engineering team: plan, design, review, QA, and ship with Claude Code and other agents. On OpenRuna it sits inside a connected graph of related collections, tools, and datasets, so branching into adjacent resources is one click away. Copy it into your assistant of choice and sharpen the result with a couple of follow-up turns.

Use cases

Hand "gstack — AI Engineering System" to a new teammate so their collection output matches your team's quality bar from day one.
Use "gstack — AI Engineering System" when you need a repeatable collection for professional work without rewriting instructions every time.
Reach for it during planning or review sessions when you want consistent, AI-assisted structure.
Combine it with related tools and prompts in the same OpenRuna category to build an end-to-end workflow.

Example output

Ask the model to apply "gstack — AI Engineering System" to your scenario and it returns a structured answer — clear sections, actionable steps, and assumptions stated upfront — ready to paste into docs, tickets, or code comments. A short follow-up turn usually tightens the result to exactly what you need.

Tips by platform

Claude

With Claude, drop this collection into Project knowledge so every chat in the project inherits it. Ask Claude to restate the goal first, then run — it catches edge cases early.

ChatGPT

In ChatGPT, start a fresh chat and paste this collection verbatim, then follow up with "apply this to [your context]." Pick a current GPT model for coding or reasoning tasks.

Cursor

Add this collection to your Cursor rules and invoke it from Agent mode for repeatable results. Link back to its OpenRuna page in the rule so the source stays discoverable.

Frequently asked questions

What is "gstack — AI Engineering System"?: It is a collection listed on OpenRuna — Garry Tan's open-source virtual engineering team: plan, design, review, QA, and ship with Claude Code and other agents. You can copy and adapt it for ChatGPT, Claude, Cursor, or any other AI assistant.
Is "gstack — AI Engineering System" free to use?: Most OpenRuna resources are open or CC0-licensed. Check the license shown on this page before commercial use; premium collections are clearly marked as such.
How do I get the best results from this collection?: Replace any placeholders, add your project context, and ask the model to confirm its assumptions first. Iterate over 2–3 follow-up turns rather than expecting a perfect first response.
Does "gstack — AI Engineering System" work with both Claude and ChatGPT?: Yes — it is model-agnostic text, so it runs on Claude, ChatGPT, Gemini, and Cursor. The tips on this page cover each of those assistants specifically.
Where can I find resources related to "gstack — AI Engineering System"?: Scroll to the Related resources section on this page, or open the matching category hub on OpenRuna to find connected prompts, tools, agents, and datasets in the same topic area.