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Articles 130,411Blog Posts 135,035Tech Tutorials 33,729Research Papers 25,422News 18,473
⚡ AI Lessons
Dev.to · Hiroyuki Nakahata
1mo ago
Atom Is All You Need: Read a Codebase as an Atom Map, Not a Dependency Graph
TL;DR In the AI era, architecture analysis cannot stop at reading code as files, functions,...
Dev.to · Hiroyuki Nakahata
1mo ago
I Open-Sourced the AAT / SFT Research Repository
I open-sourced the AAT / SFT research...
Dev.to · Hiroyuki Nakahata
⚡ AI Lesson
2mo ago
Forecast Cone: A Grand Theorem for Computable Software Evolution
TL;DR This article starts from the ForecastCone in Software Field Theory (SFT), then reads...
Dev.to · Hiroyuki Nakahata
2mo ago
Gotanda Style: Do AI Agents Really Need Meetings?
A lighter look at coordinating AI coding agents through shared traces instead of conversations.
Dev.to · Hiroyuki Nakahata
2mo ago
When Lean Proved My Durability Definition Too Easily
A small formalization experiment about invariants, missing boundaries, and what it means for architecture to preserve something.
Dev.to · Hiroyuki Nakahata
🏗️ Systems Design & Architecture
⚡ AI Lesson
2mo ago
AI does not only generate code faster. It changes the distribution of future changes. This post introduces Attractor Engineering: designing where software changes tend to converge.
Attractor Engineering: Seeing Software Development as Field Dynamics ...
Dev.to · Hiroyuki Nakahata
2mo ago
Attractor Engineering: Seeing Software Development as Field Dynamics
A practical and formal view of software evolution as field-shaped dynamics in the age of AI-assisted development.
DeepCamp AI