Build DifferentConference50min
Coding, Rewritten: What 10.000+ AI-Generated Code Completions Taught Me About the Future of Software Development
This talk explores the transformative impact of AI coding tools on developer workflows, sharing insights from using over 30 AI agents. It covers how AI now challenges logic, suggests improvements, plans, and refactors code, offering practical strategies for adapting to agent-driven development while maintaining control and delivering real-world examples and takeaways.
Jeroen EgelmeersSogeti Netherlands
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Thursday, October 9, 11:50-12:40
Room 5
What if coding wasn't just about writing code anymore? After a year-long deep dive into over 30 AI coding tools — including ChatGPT, Claude, Google Gemini, DeepSeek, Grok, GitHub Copilot, Cursor, Windsurf, Lovable, V0, and many... more — I’ve learned how radically the developer experience is evolving.
As a former full-stack (Java) engineer turned Prompt Engineering Advocate, I stepped away from the keyboard and let AI agents take the lead. But I also coded together with AI. With more than 5,000 AI-generated code completions only on Windsurf, I’ve seen what works, what doesn’t, and what’s coming next.
In this talk, I’ll reveal what happens when AI agents don’t just complete your code — they challenge your logic, suggest UX improvements, plan, and autonomously refactor your functions. You’ll learn how responsibilities shift in agent-amplified workflows, how to manage memory and context windows, what Flush Coding is, what rule and planning files are, why our refactoring mindset makes it hard to adapt, and why not VibeCoding but AmpCoding might just be your next paradigm.
We’ll walk through real examples, transforming a screenshot into a working application and debugging with agents that understand your enterprise codebase. You’ll leave with practical insights, clear takeaways, and a vision of how to stay in control — even when you’re not the one coding. You will receive a report out with community-driven insights.
It’s still your name on the commit. Let’s make it count.
As a former full-stack (Java) engineer turned Prompt Engineering Advocate, I stepped away from the keyboard and let AI agents take the lead. But I also coded together with AI. With more than 5,000 AI-generated code completions only on Windsurf, I’ve seen what works, what doesn’t, and what’s coming next.
In this talk, I’ll reveal what happens when AI agents don’t just complete your code — they challenge your logic, suggest UX improvements, plan, and autonomously refactor your functions. You’ll learn how responsibilities shift in agent-amplified workflows, how to manage memory and context windows, what Flush Coding is, what rule and planning files are, why our refactoring mindset makes it hard to adapt, and why not VibeCoding but AmpCoding might just be your next paradigm.
We’ll walk through real examples, transforming a screenshot into a working application and debugging with agents that understand your enterprise codebase. You’ll leave with practical insights, clear takeaways, and a vision of how to stay in control — even when you’re not the one coding. You will receive a report out with community-driven insights.
It’s still your name on the commit. Let’s make it count.
Jeroen Egelmeers
Jeroen Egelmeers is a Prompt Engineering Advocate and GenAI Whisperer at Sogeti Netherlands. He also serves as a Software Engineering Trainer at the Capgemini Academy and is one of the authors of the latest TMAP book.
Jeroen frequently delivers presentations on Prompt Engineering, AmpCoding, and Software Quality at various events and venues. He is the founder of the Crafting AI Prompts Framework — a framework designed to help create optimal prompts while addressing concerns such as non-disclosure, data security, GDPR compliance, and other constraints. He also tracks the latest tools, models, and strategies for Agentic Programming on the framework's website.
Jeroen frequently delivers presentations on Prompt Engineering, AmpCoding, and Software Quality at various events and venues. He is the founder of the Crafting AI Prompts Framework — a framework designed to help create optimal prompts while addressing concerns such as non-disclosure, data security, GDPR compliance, and other constraints. He also tracks the latest tools, models, and strategies for Agentic Programming on the framework's website.
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