Laurie Voss, Rey Bango, Hannah Foxwell, Rizel Scarlett & Thomas Steiner
Panel discussion: Developing in an AI world - are we all demoted to reviewers? WeAreDevelopers WebDev & AI Day March2025
#1about 2 minutes
How AI is shifting the developer role from creator to architect
AI tools are changing the developer career path, pushing engineers to focus more on high-level architecture and design rather than just writing code.
#2about 3 minutes
Addressing security and reliability in AI-generated code
AI-generated code often follows a "happy path," requiring developers to understand the underlying logic to manage security vulnerabilities and site reliability.
#3about 5 minutes
Navigating data privacy and leakage risks with LLMs
Developers must be educated on the risks of sharing proprietary code or personally identifiable information (PII) with public LLMs that use data for training.
#4about 8 minutes
Learning with AI and the risk of knowledge fossilization
While LLMs can be a learning tool similar to Stack Overflow, they risk "fossilizing" knowledge by being trained on older code and not knowing novel APIs.
#5about 5 minutes
Using private data securely with RAG and MCP
Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) allow LLMs to use private, context-specific data from an internal data lake without public exposure.
#6about 12 minutes
Evaluating the hype and practical uses of vibe coding
Vibe coding is useful for creating disposable prototypes to test product viability but is dangerous for production due to a lack of security, scalability, and edge case handling.
#7about 5 minutes
How LLMs risk reinforcing bad coding practices
There is a significant risk that LLMs trained on large amounts of low-quality or bootcamp-level code will reinforce bad patterns and anti-patterns at scale.
#8about 6 minutes
Panelists' final advice for junior developers in the AI era
The panel advises junior developers to learn fundamentals, stay curious, use AI tools for psychological safety, and not be afraid to ask questions.
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The security risks of AI-generated code and slopsquatting
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The emerging market for fixing AI-generated code
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Exploring the role and ethics of AI in gaming
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Using AI to overcome challenges in systems programming
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How AI threatens the open source documentation business model
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Preventing exposed API keys in AI-assisted development
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