wb-flow is a zero-dependency command-line interface (CLI) that bootstraps an agentic AI workflow system into any repository, compatible with various AI coding assistants.
Why it matters
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overview
wb-flow is an AI workflow system tool developed by Wissem Boughamoura that enables developers to bootstrap a structured, agentic AI workflow system into any repository. It operates by copying 33 predefined slash-command templates, written in pure Markdown, directly into a developer's project, serving as operating procedures for AI models.
features
wb-flow provides a comprehensive set of features designed to integrate agentic AI workflows into development projects, emphasizing structure and compatibility.
--force and --dry-run options.use cases
wb-flow is primarily designed for developers and project managers seeking to introduce discipline and structured processes to AI-driven software development tasks. Its stack-agnostic nature makes it suitable for diverse development environments.
how to use
To begin using wb-flow, developers install the CLI via npm or by cloning its Git repository. The tool then bootstraps Markdown-based command templates into the project, which AI coding assistants can interpret and execute.
npm or clone the Git repository from https://github.com/wissemb11/wb-flow.wb-flow command in your project directory to bootstrap the 33 command templates./wbPlan for task decomposition or /wbAudit for code quality assessment./wbGit for version control integration.pricing
wb-flow operates on a freemium-saas business model, offering both a free tier and a paid Pro Tier. Usage-based pricing applies to requests beyond the free allowance.
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wb-flow differentiates itself in the AI coding assistant landscape through its zero-dependency, Markdown-based approach and 'verbs over personas' philosophy, contrasting with frameworks that rely on complex runtimes or role-playing agents.
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