Robert Werner
Leapter: The Reinvention of Software Development? A Future Built On AI Generated Code.
#1about 1 minute
The hidden liability of AI-generated code
AI-generated code creates a new kind of technical debt where no one understands or owns the codebase, similar to legacy systems.
#2about 1 minute
The trust gap in current AI coding tools
Current AI tools act as black boxes, forcing a choice between development speed and validating code to build trust.
#3about 1 minute
Using executable blueprints instead of raw code
The solution to the trust gap is changing the AI's output from raw text to executable diagrams optimized for human validation.
#4about 1 minute
Enabling team collaboration with AI-native development
Visual blueprints allow the entire team, including non-developers, to understand and review code, making trust the key to unlocking speed.
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Matching moments
04:50 MIN
Leveraging AI as a tool for learning and productivity
Exploring AI: Opportunities and Risks in Development
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03:46 MIN
Exploring the future of AI beyond simple code generation
Innovating Developer Tools with AI: Insights from GitHub Next
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06:10 MIN
AI-generated code is the new form of legacy code
WeAreDevelopers LIVE - Vibe Coding Deep Dive, Conference Video Editing and more
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00:41 MIN
How to effectively leverage AI for legacy code
Getting to Know Your Legacy (System) with AI-Driven Software Archeology
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06:52 MIN
How AI will reshape software development and documentation
Coffee with Developers - Scott Chacon on growing GitButler and the future of version control
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01:57 MIN
How AI makes managing technical debt an organizational necessity
Your Code as a Crime Scene
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07:16 MIN
Why AI-assisted code can become unmaintainable legacy code
Vibe Coding Deep Dive, Conference Video Editing and more
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03:34 MIN
How generative AI is changing software development
The transformative impact of GenAI for software development and its implications for cybersecurity
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