What if AI-assisted coding turned extra dependable by separating product planning, engineering evaluation, launch, and QA into distinct working modes? That’s the thought behind Garry Tan’s gstack, an open-source toolkit that packages Claude Code into 8 opinionated workflow expertise backed by a persistent browser runtime. The tookit describes itself as ‘Eight opinionated workflow expertise for Claude Code‘ and teams widespread software program supply duties into distinct modes comparable to planning, evaluation, transport, browser automation, QA testing, and retrospectives. The purpose is to not change Claude Code with a brand new mannequin layer. It’s to make Claude Code function with extra express function boundaries throughout product planning, engineering evaluation, launch, and testing.
The 8 Core Instructions
The gstack repository at present exposes 8 foremost instructions: /plan-ceo-review, /plan-eng-review, /evaluation, /ship, /browse, /qa, /setup-browser-cookies, and /retro. Every command is mapped to a selected working mode. /plan-ceo-review is positioned as a product-level planning go. /plan-eng-review is used for structure, information movement, failure modes, and assessments. /evaluation is targeted on manufacturing danger and code evaluation. /ship is used for getting ready a prepared department, syncing with foremost, operating assessments, and opening a PR. /browse offers the agent browser entry, whereas /qa is designed for systematic testing of affected routes and flows. /setup-browser-cookies imports cookies from a neighborhood browser into the headless session, and /retro is used for engineering retrospectives.
The Persistent Browser Is the Core System
Crucial technical a part of gstack shouldn’t be the Markdown expertise. It’s the browser subsystem. gstack offers Claude Code a persistent browser and that the browser is the onerous half, whereas the remainder is principally Markdown. As an alternative of launching a recent browser for each motion, gstack runs a long-lived headless Chromium daemon and communicates with it over localhost HTTP. The reason being latency and state retention. A chilly begin prices round 3–5 seconds per software name, whereas subsequent calls after startup are designed to run in roughly 100–200 ms. As a result of the browser stays alive, cookies, tabs, localStorage, and login state persist throughout instructions. The server additionally shuts down mechanically after half-hour of idle time.
How gstack Connects Browser Automation to QA
That daemon structure issues for QA and browser-driven growth. In lots of agent workflows, browser automation is a separate debugging step or a screenshot utility. In gstack, browser entry is a part of the core workflow. The repo describes /browse because the mode that lets the agent log in, click on by way of the app, take screenshots, and examine breakage. /qa builds on high of that by analyzing the department diff, figuring out affected routes, and testing the related pages or flows. The pattern movement within the repo exhibits /qa inspecting 8 modified information and 3 affected routes, then testing these routes in opposition to a neighborhood app occasion. This implies the venture is making an attempt to tie supply modifications to precise software habits as a substitute of treating QA as a indifferent guide go.
Set up Necessities and Challenge Format
The repository’s implementation decisions are additionally pretty particular. gstack requires Claude Code, Git, and Bun v1.0+. The bundle.json exhibits the present model as 0.3.3, lists Playwright and diff as runtime dependencies, and compiles a browse executable from the browse supply tree. In keeping with the repo’s README, /browse compiles a local binary and is supported on macOS and Linux, for each x64 and arm64. The set up movement copies the repo into ~/.claude/expertise/gstack, runs ./setup, and registers the talents for Claude Code. Groups also can copy the identical setup right into a repository-local .claude/expertise/gstack listing so the workflow is shared inside a venture.
Why the Challenge Makes use of Bun
The structure doc explains why the venture makes use of Bun fairly than a extra standard Node.js setup. There are 4 said causes: compiled binaries, native SQLite entry, native TypeScript execution, and a built-in HTTP server with Bun.serve(). These decisions are sensible fairly than beauty. gstack reads Chromium’s SQLite cookie database instantly, and Bun’s built-in database help removes the necessity for further native packages. The compiled binary mannequin additionally suits the repo’s set up model, as a result of customers aren’t anticipated to handle a separate runtime toolchain inside ~/.claude/expertise/.
Key Takeaways
- gstack is a workflow layer for Claude Code, not a brand new mannequin or agent framework. It packages software program supply into 8 opinionated slash-command expertise for planning, evaluation, transport, browser automation, QA, cookie setup, and retrospectives.
- The persistent browser daemon is the principle technical part. gstack runs a long-lived headless Chromium course of over localhost HTTP so cookies, tabs, localStorage, and login state persist throughout instructions.
- QA is tied on to code modifications. The /qa workflow analyzes department diffs, identifies affected routes, and assessments the related software paths as a substitute of treating browser checks as a separate guide step.
- The venture is constructed round Bun for sensible techniques causes. Bun is used for compiled binaries, native SQLite entry, native TypeScript execution, and a built-in HTTP server for the browser daemon.
- gstack’s contribution is operational construction. Its foremost worth is separating product evaluation, engineering evaluation, code evaluation, launch, and browser-driven validation into express modes with slim obligations.
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