Discover what Safa is and how it automates software documentation, turning code into plain-English summaries that keep system docs current.

Safa.ai is a platform that automates software documentation. It uses language models to read code, determine its purpose, and explain it in plain English, keeping system documentation current and accurate without manual writing. The goal is to improve team communication, reduce misunderstandings and risk, and keep teams aligned.
Safa was created by a team of developers. Its core function is automating software documentation: summarizing code files into natural language, handling system documentation such as User Stories and Requirements, and providing summaries of changes.
Safa reads code, extracts the Abstract Syntax Tree (AST), and summarizes files in everyday language. It keeps system documentation up to date, manages User Stories and Requirements, updates change logs, and produces change summaries.
It also generates summaries of software evolution, enables documentation traceability, shows how different parts of a system relate to each other, and analyzes the impact of changes. It works with any programming language. Teams use it to coordinate work, reduce project risk, save engineering time, and onboard new members.
Safa is designed for engineers, project managers, QA managers, and executives within software development teams.
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