![[Side B] Breaking Free from Vibe Coding Fatigue: A Practical Record of Building an OSS with 'Spec-First AI Development'](/_next/image?url=https%3A%2F%2Fmedia2.dev.to%2Fdynamic%2Fimage%2Fwidth%3D1200%2Cheight%3D627%2Cfit%3Dcover%2Cgravity%3Dauto%2Cformat%3Dauto%2Fhttps%253A%252F%252Fdev-to-uploads.s3.amazonaws.com%252Fuploads%252Farticles%252Fiz5gho8rmunx6k14xvda.png&w=1200&q=75)
[Side B] Breaking Free from Vibe Coding Fatigue: A Practical Record of Building an OSS with 'Spec-First AI Development'
From the Author: D-MemFS was featured in Python Weekly Issue #737 (March 19, 2026) under Interesting Projects, Tools and Libraries . Being picked up by one of the most widely-read Python newsletters confirmed that in-memory I/O bottlenecks and memory management are truly universal challenges for developers everywhere. This series is my response to that interest. 🧭 About this Series: The Two Sides of Development To provide a complete picture of this project, I’ve split each update into two perspectives: Side A (Practical / from Qiita): Implementation details, benchmarks, and technical solutions. Side B (Philosophy / from Zenn): The development war stories, AI-collaboration, and design decisions. Are You Realizing the Limits of "Vibe Coding"? Having AI write code for us has become the norm. Throw a prompt at it, and it returns plausible code. It runs. The tests pass. It's convenient. However, if you continue this way of "having AI generate code based on a vague vibe"—often called Vibe Co
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