Building intelligence across software, hardware, and embodied systems.
我把“全栈”理解为从研究、系统到底层实现与技术表达的完整闭环。
selected.signals.log
01 :: research-driven, build-oriented
02 :: AI / robotics / systems / hardware-aware engineering
03 :: from fundamentals -> deployment
04 :: sim -> real mindset, not single-project storytelling
05 :: technical rigor with interface taste
focus.map
AI / embodied intelligence
systems / control / tooling
robotics / deployment / sim-to-real workflow
interface / aesthetics / technical storytelling
public.endpoints
/github -> https://github.com/Full-Stack-Entity
/selected-work -> repositories below
/status -> active / learning / building
selected.nodes
- CSAPP-lab - a facade-grade CS:APP lab archive spanning data representation, reverse engineering, architecture, caches, shells, allocators, and proxy systems.
- Norepinephrine-Flow - the codebase behind an under-review embodied intelligence paper on neuromodulated flow matching and generative planning.
- RoboTwin - simulation-side embodied intelligence workflow signal
- Coding-Agent-Prompt-Template - agent tooling and workflow structure
- nankai-ai-Datashare - open course-material infrastructure signal
- Rong-Xie-Tech-InvertedPendulum - early embedded build trace on STM32
