gstack

Automating code review and QA testing involves using specialized AI modes to evaluate engineering rigor and run headless browser tests end-to-end. This skill orchestrates tasks across product planning, paranoid code review, and automated shipping to streamline the development lifecycle.

Running end-to-end web application testing with a headless browser allows you to find bugs and fix them automatically. This skill integrates browser automation directly into QA testing workflows to validate applications without manual intervention.

Setting up AI-powered engineering workflows requires installing bun, playwright, git, and gh for repository control and browser testing. Additional dependencies like pypdf, pdfplumber, and pdf2image are needed for processing PDF documents within automated tasks.

Streamlining software shipping from planning to production is best achieved by invoking distinct AI modes for founder-level product vision, engineering review, and automated shipping. This approach manages the entire software development lifecycle from idea to deployment.

This workflow automation tool supports GitHub integration for code review through the gh command line dependency. You can review code changes before merging them into main and automate shipping directly through your repository setup.

AI orchestration handles product planning and engineering review by providing specialized AI brains that evaluate founder-level product vision and engineering rigor. This transforms the AI assistant into a specialized engineering team for distinct development lifecycle stages.