Supervising AI Coding Agents: 1 Day Workshop

AI coding agents can generate apps from plain English, but they can also make confident mistakes or produce fabricated outputs. In this hands-on workshop, you’ll learn a practical supervise-and-verify workflow to harness AI effectively and reliably.

Using an AI copilot, you’ll scope a small project, generate code, and implement checks to ensure correctness and reproducibility, including unit tests, invariants, fixed seeds, provenance checks, and quick sanity plots.

You will also practice prompt patterns that reduce brittleness, apply a red-flag checklist for synthetic outputs, and learn best practices for data privacy and API key hygiene.

By the end of the workshop, you will be able to decide when an AI agent is appropriate, supervise it end-to-end, and confirm that results are both accurate and repeatable.

Participants will leave with a practical checklist, reusable prompt and test templates, a reproducible mini-project, and clear criteria for applying AI agents in product, operations, or content workflows.

Vasyl Rakivnenko focuses on building and applying AI systems to improve access to justice. He develops and integrates AI-powered enterprise solutions across startups, venture firms, and publicly traded companies, and Forbes Poland has recognized his strategic AI initiatives for their impact on digital innovation. He is a Stanford GSB alumnus, completed the Stanford Executive Program (SEP), received an MBA from Kozminski University in Poland, and a BA in business administration from the University of Mondragon, Spain.

Stanford: https://profiles.stanford.edu/vasyl-rakivnenko

Linked[in]: https://www.linkedin.com/in/rakivnenkov

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Stanford University, 450 Jane Stanford Way, Stanford, United States

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