Vibe coding is distinguished from methodical AI use by not checking every single line of generated code, making it a production-ready practice.
Junior developers, or anyone new to a specific tech stack, should use AI for fundamental questions to avoid making costly early mistakes.
Deconstruct large projects or bug fixes into smaller, manageable pieces that AI can successfully handle in a single attempt.
Writing comprehensive tests, even with AI, narrows the solution space for bug fixes and turns test suites into a valuable asset.
Keep individual files under 400 lines and maintain a well-structured codebase to help both humans and AI navigate the project effectively.
Move slowly on foundational architectural choices, like selecting a framework, to prevent accumulating technical debt that slows down future development.
Feed the AI relevant context, like documentation for new APIs, but keep it minimal to avoid overwhelming the model and ensure efficient processing.
The future of coding involves agentic AI that can take autonomous actions like fetching URLs or searching a codebase on your behalf.
Provide a containerized or VM-based development environment to enable scaling up to hundreds of AI agents working in parallel on isolated tasks.
While non-technical users can create initial value with AI, a skilled engineer following best practices can sustain and grow that value over time.
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Ismaning, Germany
31:39Rainer Stropek
29:00Raúl Berganza Gómez
39:11Thomas Dohmke
04:17Robert Werner
47:35Laurie Voss, Rey Bango, Hannah Foxwell, Rizel Scarlett & Thomas Steiner
30:24Markus Walker
17:01Christian Heilmann
45:09Gunnar Grosch
Jobs that call for the skills explored in this talk.
VYTWO TECHNOLOGIES INC.
Raleigh, United States of America
AI Powered LLC
AgreeYa Solutions, Inc.
Plano, United States of America
