Safa

What is Safa?

SAFA.ai is a platform designed to automate the software documentation process. It leverages large language models to read and understand code, summarize it in natural language, and maintain system documentation efficiently. This tool facilitates team coordination, aids in risk reduction, and enhances cross-team communication by providing up-to-date documentation and change summaries automatically.

Who created Safa?

SAFA was created by a team of developers and the company launched on January 29, 2023. SAFA's main functionality involves automating the software documentation process by summarizing code files in natural language, handling system documentation such as User Stories and Requirements, and providing change analysis summaries. The platform caters to multiple roles within a software team, including engineers, project managers, QA managers, and executives, ensuring seamless team coordination, risk reduction, and enhanced communication. SAFA's intelligent search feature allows for quick access to code and documentation within the software system, while system visualization aids in understanding relationships in the software more easily.

What is Safa used for?

• Automates software documentation
• Understands code context
• Summarizes code in natural language
• Extracts Abstract Syntax Tree
• Maintains system documentation
• Handles User Stories, Requirements
• Updates change logs
• Offers change analysis
• Generates evolution summaries
• Provides cross-documentation traceability
• Facilitates team coordination
• Aids in risk reduction
• Enhances cross-team communication
• Saves engineering time
• Values in onboarding
• Aids in change impact analysis
• Programming-language agnostic
• Generates relationship explanations
• Provides automated impact analysis

Who is Safa for?

• Engineers
• Project managers
• QA Managers
• Executives

How to use Safa?

To use SAFA.ai effectively, follow these steps:

1. Knowledge of Main Functionality: Understand that SAFA.ai automates software documentation by generating and maintaining it, saving time for engineering teams.

2. Reading and Understanding Code: SAFA.ai analyzes code files and their context to summarize them in natural language, ensuring a clear understanding of code behavior.

3. Understanding Codebase: Extract the Abstract Syntax Tree (AST) to identify fundamental elements like functions and variables, enabling a comprehensive understanding of the codebase.

4. Handling System Documentation: SAFA.ai covers various system documentation including User Stories, Requirements, and change logs, offering generation, maintenance, and updates as software changes.

5. Utilizing Features: Make use of system visualization and intelligent search for exploring complex software systems efficiently.

6. Ensuring Update of Documentation: SAFA.ai continuously tracks and analyzes software changes to automatically update User Stories, Requirements, and change logs.

7. Facilitating Team Communication: Enhance team coordination and reduce risks through up-to-date documentation and natural language change summaries.

8. Harnessing Search Feature: Use the intelligent search feature for swift and precise access to necessary code and documentation within the software system.

By following these steps, users can leverage SAFA.ai's capabilities to automate software documentation, enhance team coordination, and efficiently navigate complex software systems.