Welcome to this lesson on automating documentation with AI.

This lesson explores how AI transforms documentation from a neglected afterthought into a living architectural asset. We'll examine patterns for maintaining accuracy between intent and implementation, strategies for different audiences, and governance approaches that keep documentation valuable without becoming bureaucratic.

Intended audience:

This lesson has been designed for budding software architects and developers who are new to AI tooling generally, or those who have some experience but are looking to expand their knowledge.

This course leads onto some Instructor Led Training for building software using AI tools.

Learning Objectives:

By the end of this lesson, you will have a greater understanding of:

How AI transforms documentation from a neglected afterthought into a living architectural asset and how to reduce drift between intent and reality.
The patterns for creating and maintaining canonical records for decisions (ADRs) and interfaces (contracts).
Strategies for generating accurate architectural diagrams from structured prose and enforcing standards for clarity and compliance annotations.
Establishing governance gates and using event-based triggers to maintain the freshness, adoption, and accuracy of documentation across different organisational audiences.

Prerequisites:

This course is part of an introduction to AI tooling and we will expand your knowledge from a beginner position. However, knowledge of any AI tools would put you at an advantage.

Feedback:

Please note that, at the time of writing this content, all course information was accurate. AI tools evolve rapidly and as a result, minor discrepancies may appear in the course content over time. Here at QA, we strive to keep our content up to date in order to provide the best training available.

So, if you notice any information that is outdated, please report the issue. This will allow us to update the course during its next release cycle.

Automating Documentation With AI