> ## Documentation Index > Fetch the complete documentation index at: https://docs.sudocode.ai/llms.txt > Use this file to discover all available pages before exploring further. # Introduction > Git-native context management for AI-assisted software development **sudocode** is a lightweight, git-native context management system for AI-assisted software development. It helps you capture requirements, track agent work, and maintain bidirectional connections between specifications and implementation, all living directly in your repository. Think of sudocode as **"context-as-code"**: a structured way to organize collaboration between humans and AI agents throughout your development workflow. * **Specs** capture user intent and requirements * **Issues** track agent tasks and implementation work * **Relationships** model dependencies between work items * **Feedback** enables agents to improve specs as they implement Everything is version-controlled alongside your code. No external services required. sudocode in action ## Why sudocode? Understand the problems sudocode solves and how it transforms AI-assisted development ## Who is sudocode for? ### Perfect For Teams using Claude Code, Cursor, Copilot, or custom agents for daily development work Projects spanning weeks/months where context needs to persist across many sessions Features with many interdependent tasks, dependencies, and design decisions to track Running multiple AI agents concurrently (e.g., one on backend, one on frontend) Teams that value written requirements and want iterative refinement from implementation Need context that lives in the repo, accessible to all contributors without external accounts ### Maybe Not For * **Quick prototypes**: Single-session exploratory coding without need for persistence * **Solo scripts**: One-off automation where there's no ongoing maintenance * **Non-AI workflows**: Teams not using AI coding assistants (though sudocode still works as a lightweight issue tracker) ## Quick Start Get up and running in minutes: Create your first spec and issue in under 5 minutes ## Learn the Core Concepts Understand how sudocode organizes context: Capture user requirements and design decisions Track agent tasks and implementation work Model dependencies and connections between work Enable bidirectional learning between agents and specs ## Integration Guides Connect sudocode to your AI agents and workflows: Set up sudocode and create your first issue in minutes Learn spec-driven development and best practices Use sudocode with Claude Code and other MCP-compatible agents ## Key Features * **Dual representation**: Human-readable markdown + machine-queryable JSONL * **Graph-based planning**: Topological ordering finds ready work automatically * **Bidirectional linking**: Obsidian-style `[[SPEC-001]]` references with backlinks * **Smart anchoring**: Feedback tracks specific lines and relocates intelligently * **Distributed sync**: Git handles distribution; AI handles merge conflicts * **Multiple interfaces**: CLI, MCP server, REST API, and web UI ## Community & Support Ask questions and share use cases Report bugs and request features *** **Philosophy:** Context should be treated like code—version-controlled, collaboratively edited, and evolved alongside your implementation. sudocode makes this possible for AI-assisted development.