Picture by Writer
# Introduction
Vibe coding is shortly turning into the usual strategy for contemporary builders on the subject of constructing software program with AI. As a substitute of asking one-off inquiries to a coding assistant, you at the moment are orchestrating a complete, context-aware system. This method consists of brokers, sub-agents, instruments, expertise, and protocols just like the Mannequin Context Protocol (MCP), all working collaboratively to grasp your undertaking, comply with your directions, and preserve consistency all through the codebase.
On this new workflow, you aren’t merely instructing the AI to “write a operate.” As a substitute, you might be engineering the context by setting expectations, defining roles, connecting instruments, and permitting your coding agent to help you with frontends, fixing backends, refactoring legacy code, and even debugging with specialised instruments. This methodology is empowering builders to prototype extra quickly, ship options sooner, and guarantee larger high quality throughout complete initiatives.
Nevertheless, to completely leverage agent-based AI coding instruments, it’s important to have a strong basis, which incorporates the appropriate setups, patterns, prompts, and psychological fashions.
On this article, we are going to discover 10 GitHub repositories that may enable you to grasp vibe coding. These repositories will help you in studying the basics, exploring real-world examples, understanding easy methods to combine brokers and instruments, and in the end delivering merchandise sooner than those that nonetheless deal with AI as a easy question-and-answer assistant.
# GitHub Repositories to Grasp Vibe Coding
// 1. Context Engineering Template
This repository introduces context engineering as the inspiration of vibe coding. As a substitute of counting on intelligent prompts, you craft the atmosphere with targets, constraints, examples, and acceptance standards, so AI coding assistants (notably Claude Code) can carry out constantly throughout duties and groups.
You’ll be taught to create CLAUDE.md for project-wide guidelines, INITIAL.md for clear characteristic requests, and PRP blueprints that rework these requests into validated, step-by-step implementation plans—giving AI the entire context it must ship working code on the primary attempt.
// 2. Superior Vibe Coding
This repository curates vibe coding as AI-assisted improvement, cataloging instruments that allow you to collaborate with AI to jot down code by means of pure language.
You’ll be taught the total ecosystem from browser builders like Bolt.new to IDE extensions like Cursor to terminal brokers like Claude Code, core ideas from Andrej Karpathy’s definition to sensible immediate engineering playbooks, and easy methods to choose the appropriate software for fast prototyping, skilled improvement, or privacy-first native workflows.
// 3. Vibe Coding Instrument Record
This repository curates a hand-picked assortment of AI-powered instruments and sources for vibe coding, constructing software program by means of prompts, iterations, and exploration.
You’ll be taught to navigate browser builders, IDE extensions, and CLI brokers; uncover sensible immediate methods and curated guides; and choose the appropriate AI assistant for prototyping, manufacturing, or privacy-first workflows.
// 4. Vibe Coding Workflow
This repository delivers a 5-stage AI workflow to construct MVPs in hours, not months.
You’ll be taught to create structured documentation (analysis, necessities, design) and common AI agent directions (NOTES.md, CLAUDE.md, GEMINI.md) that information instruments like Claude Code and Cursor by means of validated implementations with newest AI fashions.
// 5. Rulebook AI
This repository introduces Rulebook-AI, a command-line software for packaging and deploying constant, knowledgeable environments to AI coding assistants.
You’ll be taught to create moveable “Packs”, guidelines, context, and instruments, that sync throughout assistants like Cursor, Gemini, and Copilot, fixing AI forgetfulness and inconsistency by treating your undertaking’s structure and workflows as versionable code.
// 6. Claude Code Settings and Instructions for Vibe Coding
This repository collects Claude Code settings, customized instructions, and sub-agents for enhanced vibe coding workflows.
You’ll be taught to configure LiteLLM proxy for a number of fashions, create specialised instructions for spec-driven improvement (/specify, /plan, /implement), deploy AI sub-agents for code evaluation and GitHub integration, and orchestrate complete options from necessities to execution utilizing structured workflows like Github Spec Equipment.
// 7. The First AI Coding Type Information
This repository introduces AI-specific coding model guides to unravel context window limitations in vibe coding.
You’ll be taught an 8-level compression system that reduces code to 20-50% of its measurement by eliminating whitespace, shortening variables, and leveraging superior language options.
By examples like KMP and JSON parsers, you’ll uncover easy methods to maximize token effectivity whereas trusting LLMs to each compress code and later decompress/clarify it when human debugging is required.
// 8. Vibe Examine MCP
This repository supplies Vibe Examine MCP, a research-backed oversight server that acts as a meta-mentor for AI coding brokers.
You’ll be taught to implement Chain-Sample Interrupts (CPI) that stop over-engineering and reasoning lock-in, configure per-session constitutions to implement guidelines, and combine instruments like vibe test and vibe be taught to maintain brokers aligned and reflective, bettering success charges by 27% whereas halving dangerous actions.
// 9. Vibe Kanban
This repository supplies Vibe Kanban, a Rust-based orchestration platform for AI coding brokers like Claude Code and Gemini CLI.
You’ll be taught to modify between brokers, orchestrate parallel and sequential duties, evaluation agent work, and centralize MCP configurations. Streamlining the shift from writing code to planning, reviewing, and orchestrating AI-driven improvement.
// 10. VibeKit
This repository supplies VibeKit, a security layer for operating AI coding brokers in remoted Docker sandboxes.
You’ll be taught to execute Claude Code, Gemini CLI, and different brokers securely with automated secret redaction, monitor operations with built-in observability, and combine sandboxed execution into functions utilizing the VibeKit SDK, all completely offline with out cloud dependencies.
# Repo Evaluate
This desk offers you a fast snapshot of what every repository teaches and who it’s best suited to, so you may choose the appropriate vibe coding path immediately.
| Repository | What You’ll Study | Greatest For |
|---|---|---|
| Context Engineering Template | Construct CLAUDE.md, INITIAL.md, and PRP blueprints for constant AI-driven improvement | Groups needing predictable, repeatable AI coding workflows |
| Superior Vibe Coding | Overview of the total vibe coding ecosystem — instruments, workflows, and finest practices | Inexperienced persons exploring AI-assisted improvement |
| Vibe Coding Instrument Record | Curated toolsets, immediate methods, and workflow guides | Builders choosing the proper instruments for prototyping or manufacturing |
| Vibe Coding Workflow | A structured 5-stage course of to show concepts into MVPs quick | Solo builders and startup founders |
| Rulebook AI | Versionable “Packs” to maintain AI coding brokers aligned throughout instruments | Groups standardizing structure, guidelines, and processes |
| Claude Code Settings & Instructions | Claude Code settings, instructions, sub-agents, and GitHub integration flows | Builders optimising Claude-centric workflows |
| AI Coding Type Information | Token-efficient code compression and decompression strategies | Superior builders working with lengthy codebases |
| Vibe Examine MCP | Oversight instruments, Chain-Sample Interrupts, and constitutions for safer AI habits | Researchers and energy customers bettering agent reliability |
| Vibe Kanban | Multi-agent orchestration and process switching in Rust | Groups managing advanced AI improvement pipelines |
| VibeKit | Sandbox execution, secret-safe workflows, and offline agent isolation | Builders prioritizing security and safe environments |
Abid Ali Awan (@1abidaliawan) is a licensed knowledge scientist skilled who loves constructing machine studying fashions. At present, he’s specializing in content material creation and writing technical blogs on machine studying and knowledge science applied sciences. Abid holds a Grasp’s diploma in expertise administration and a bachelor’s diploma in telecommunication engineering. His imaginative and prescient is to construct an AI product utilizing a graph neural community for college students combating psychological sickness.
