How can engineering teams get more out of Codex while keeping results reliable? Drawing on public examples from OpenAI and an illustrative software-engineering scenario, this 60 minute session explores how to give agents useful context, tools and feedback, make runtime behavior visible through logs, metrics and traces, and evaluate whether their work meets the intended requirements. It connects hands-on working habits with shared team workflows, review practices and a practical approach to adoption across larger engineering teams.
Alexander Dess, Applied AI Engineer (Codex) at OpenAI.
Alexander Dess works on Codex at OpenAI, helping organizations apply AI to software engineering. His focus is on connecting agentic workflows with enterprise architecture, CI/CD and human review.
