Conference Talks

A demonstration of how AI coding assistants like Claude Code can help streamline DevOps workflows by automating the repetitive setup of CI/CD pipelines, infrastructure as code, and monitoring configurations.

How to tackle unique AI testing challenges: managing non-deterministic, validating safety guardrails against harmful outputs and PII leaks, and observability practices for debugging AI test failures.

An exploration of Continuous Integration and a review of different branching strategies such as Git-flow, GitHub Flow, Trunk-Based Development, and Ship/Show/Ask.

Delivering value through software solutions quickly is a goal of many teams and companies. However, there are typically a lot of moving parts and technical considerations that teams need to think about and implement. This presentation is going to focus on practices and a mindset for delivering software extremely quickly.

This session walks through implementing DORA metrics. It covers what the metrics are, what goals should be focused on for the metrics, what questions need to be answered to implement the metrics, and a practical strategy for implementing the DORA metrics within an organization. This is based on the knowledge and experience that I have gained through implementing them within my organization.

A review code and application quality practices and what makes great quality software.

An overview of Pair Programming which included best practices, things to watch out for, strategies for pairing, and how to make it the most effective.