Lars Hedbor

Documenting systems with substantial design and implementation information embedded in their source code and data presents both challenges and opportunities for technical writing teams. Lars Hedbor, Senior Technical Writer at Huron, will share his team's approach to this opportunity. You will learn how they extracted raw information from source code and structured data, transformed it into content formatted for Flare, and incorporated it into Flare projects. You will see examples of using Artificial Intelligence (AI) Large Language Models (LLMs) to create scripts for data transformation, annotation, and formatting. Additionally, you will learn how to use Flare’s flexible snippets functionality to embed the resulting content into contextual material and publish it in an accessible form.

Complex enterprise software often integrates with external systems through Application Programming Interfaces (APIs). Open standards for documenting APIs have emerged, along with tools to deliver API documentation in formats consumable by both programmers and systems. Lars Hedbor, Senior Technical Writer at Huron, will demonstrate how his team used the industry-standard tool ReDoc to generate content and incorporate it into a Flare project. Using Flare’s powerful capabilities, they created a build process that generates and embeds ReDoc-formatted API documentation into a site, which also includes contextual material and navigation authored directly in Flare. You will learn how to use Flare’s Build Events capabilities and the Madbuild command-line tool to integrate Flare content into a Microsoft Azure DevOps build pipeline.