My name is Quentin JÉRÔME, and I currently work as a Rust developer. With significant experience in incident response and threat detection, I develop open-source security tools and libraries to solve practical problems.
Proficient in: Rust, Python, Go
Familiar with: C/C++
I believe transparency about AI usage is important as it provides context for evaluating work quality. Here's my approach:
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Documentation: As a non-native English speaker, I use AI to create clear, consistent documentation while ensuring technical accuracy. I always use it to document already trusted/reviewed content.
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Simple Algorithms: For repetitive, straightforward code that offers no technical challenge, AI can save time but I always review the output thoroughly.
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Writing Review: AI helps proofread my English writing to enhance quality, but I never rely on fully AI-generated content. Rather, I write the full content and then use AI to proofread. I believe this process reduces hallucination effect and thus minimizes my review time.
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Search Engine: AI efficiently finds information (though not always accurately).
Key Principle: I maintain near-zero trust in AI output. Every generated code undergoes functional and performance review. For writing activities (media/blog posts), I author the core content myself and use AI only for refinement - except for code documentation where the code itself is the primary content.