This article introduces `install.md`, a proposed standard for creating installation instructions that are easily understood and executed by LLM-powered agents. The core idea is to provide a structured markdown file that details the installation process in a way that an agent can autonomously follow. This contrasts with traditional documentation geared towards human readers and allows for automated installation across various environments. The standard includes sections for product description, action prompts, objectives, verification criteria, and step-by-step instructions. Mintlify now auto-detects and generates `install.md` files for projects, offering a streamlined approach to agent-friendly documentation.
Create executable demo documents that show and prove an agent's work. Showboat helps agents build markdown documents that mix commentary, executable code blocks, and captured output. These documents serve as both readable documentation and reproducible proof of work. A verifier can re-execute all code blocks and confirm the outputs still match.
AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.
