Patrick Schnell
AI-Powered Code Documentation: Simplify the Complex
#1about 4 minutes
The high cost of poor or missing code documentation
Poor documentation acts like technical debt with interest, slowing down onboarding, causing miscommunication, and creating team friction.
#2about 3 minutes
Why clean code is not a substitute for documentation
Clean code explains the implementation 'how' but documentation must explain the business 'why' for different audiences like teammates, product managers, and administrators.
#3about 3 minutes
How LLMs excel at understanding and documenting code
Large language models are effective at documentation because code has a defined structure and their training data includes vast amounts of public code repositories.
#4about 2 minutes
Understanding the limitations and challenges of AI documentation
AI models can hallucinate or fail to grasp complex dependencies in large codebases, requiring careful tooling and prompting to be effective.
#5about 3 minutes
Generating code comments for a poorly written C# API
An LLM can analyze a C# API controller with bad naming conventions and automatically generate descriptive XML comments explaining the intent of each method.
#6about 2 minutes
Deciphering a complex and obfuscated algorithm with AI
A demonstration shows how an LLM can analyze a confusing block of code and correctly identify it as the Easter Sunday calculation algorithm.
#7about 5 minutes
Generating technical docs and multi-language client examples
AI can create comprehensive technical documentation in Markdown and generate client-side API usage examples in various languages like cURL, Python, and JavaScript.
#8about 3 minutes
Best practices for integrating AI into your documentation workflow
Treat AI-generated content like a draft that needs review, ensure code quality to avoid 'garbage in, garbage out,' and automate updates via your CI/CD pipeline.
#9about 1 minute
The future of documentation is freeing developers from tedious work
The goal of AI in documentation is not to replace developers but to liberate them from repetitive tasks, making documentation a team strength.
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From learning to earning
Jobs that call for the skills explored in this talk.

Team Lead and Senior Software Engineer with focus on AI
Dynatrace
Linz, Austria
Senior
Java
Team Leadership







Final Thesis Leveraging Artificial Intelligence for Work Content
RIB Deutschland GmbH
