Lightning Lessons

Ship AI-Generated Code You Actually Understand

Hosted by Hugo Bowne-Anderson, Eleanor Berger, and Isaac Flath

Tue, Oct 28, 2025

10:00 PM UTC (30 minutes)

Virtual (Zoom)

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Building LLM Applications for Data Scientists and Software Engineers
Hugo Bowne-Anderson and Stefan Krawczyk
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What you'll learn

Break Complex Problems into Small Tasks

Learn to divide large projects into specific, manageable pieces that you can build and test one at a time.

Provide Clear Context to Get Better Results

Learn exactly what information to give AI tools to get code that fits your specific needs and existing codebase.

Review AI-Generated Code Before Moving Forward

Develop a systematic approach to reading and understanding every piece of code before adding it to your project.

Why this topic matters

A big problem when using AI coding is that AI generates large chunks of code you don't fully understand, creating technical debt. We'll show a different approach. You'll learn to work with AI incrementally, breaking projects into small, testable pieces that you review & understand. By providing clear context and building step-by-step, you'll write better code faster while learning how it works.

You'll learn from

Hugo Bowne-Anderson

AI & data engineer, consultant, educator of 3+ million students (ex-Yale)

Hugo Bowne-Anderson is an independent data and AI consultant with extensive experience in the tech industry. He is the host of the industry Vanishing Gradients, where he explores cutting-edge developments in data science and artificial intelligence. As a data scientist, educator, evangelist, content marketer, and strategist, Hugo has worked with leading companies in the field. His past roles include Head of Developer Relations at Outerbounds, a company committed to building infrastructure for machine learning applications, and positions at Coiled and DataCamp, where he focused on scaling data science and online education respectively. Hugo's teaching experience spans from institutions like Yale University and Cold Spring Harbor Laboratory to conferences such as SciPy, PyCon, and ODSC. He has also worked with organizations like Data Carpentry to promote data literacy. His impact on data science education is significant, having developed over 30 courses on the DataCamp platform that have reached more than 3 million learners worldwide. Hugo also created and hosted the popular weekly data industry podcast DataFramed for two years. Committed to democratizing data skills and access to data science tools, Hugo advocates for open source software both for individuals and enterprises.

Eleanor Berger

AI Leader, ex-Microsoft, ex-Google

Eleanor Berger is an AI expert and technology leader with a track record of advising, building and leading high-performing AI engineering teams at Microsoft, Google and several start-ups.


At Microsoft and Google, Eleanor enabled top cloud customers, including startups, software vendors, and enterprises, to deliver impactful AI-first solutions. She has served in key advisory roles with a focus on applied AI and is recognised as a leading voice in the industry.


Today, Eleanor advises companies and empowers catalysts — leaders who drive AI innovation — by pairing deep technical expertise with hard-won managerial insight. Eleanor helps organisations build robust AI capability, integrate advanced AI and deliver powerful solutions that drive business value and strategic advantage.


  • Cultivate sustainable AI-engineering muscle so wins are repeatable.
  • Assess opportunities and risks in in-flight or backlog projects.
  • Establish data-driven, iterative delivery frameworks tailored to context.
  • Sustain engineering and leadership momentum with ongoing technical and strategic guidance.


Isaac Flath

Founder of Kentro Tech

Isaac is an independent consultant who has helped many companies incorporate AI into their products. I've taught AI efficiency to companies for years and worked for tech startups and cutting edge labs.




As a consultant, I have helped companies of all sizes from startups (such as Ankihub and SpecStory) to enterprise clients (such as Travel & Leisure and Cable and Wireless Communications). Previously, I worked as a researcher at Novetta where I worked on Chatbots, and worked at other cutting edge labs such as Answer AI.

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