Hey, I'm T

AboutAbout

Hey—welcome to my corner of the internet.

I'm 21 and in my third year at Shantou University, studying optoelectronics. AI has pulled me in more strongly, so I spend most of my time building agents and reading open-source code. I'm currently interning in AI development.

I'm into R&B, neo-soul, and jazz—especially David Tao, Leehom Wang, Khalil Fong, and YELLOW. I also play guitar in a band. And, despite appearances, I'm not an anime fan.

I know where I want to go next.

Think in decades, act in days.

BlogBlog

Starting with a while Loop: I Built a MiniCode That Asks Before It Acts

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MiniCode is a lightweight coding agent shaped by studying Pi and learning from real failures. It can read code, propose patches, run checks, and pause for approval before plans, writes, and commands in guided mode.

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Inside OpenHuman: The Memory Architecture of a Personal AI

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A three-level summary tree as an alternative to full-database RAG search, including the layered design, comparisons with Mem0 and MemGPT, and lessons from two merged contributions.

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Never Enough
Never EnoughDaniel Caesar
BlogBlog

From Neural Networks to Transformers

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AI chat is, at its core, an intense exercise in predicting the next word. This article starts with handwritten-digit recognition and works through vectors, attention, temperature, and Transformers.

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Blonde
BlondeFrank Ocean
MusicMusic
SOS
SOSSZA
ProjectProject

RAG 2.0

An enterprise-grade RAG system combining FAISS semantic search with BM25 keyword retrieval, fused through reciprocal rank fusion and refined with BGE-Reranker. It supports multiple document formats and configurable chunking.

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Shenzhen
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BlogBlog

After Running Pi, I Finally Understood How Coding Agents Work

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From the agent loop and tool adapters to extensions, sessions, and concurrency, I went beyond reading the code and built path protection and audit extensions of my own.

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Inside Dify's Source Code 01: RAG Pipeline

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After two days inside Dify's RAG pipeline, I found that the gap between a production system and a practice project lies less in algorithms than in engineering details such as parent-child chunks, concurrent retrieval, and fast failure.

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BlogBlog

3,000 Lines, 9 Tools: Reading the Entire GenericAgent Codebase

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Nine atomic tools, a four-layer memory architecture, and working-memory injection: how a 3,000-line agent controls the whole system with roughly one-third of the token budget.

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Inside Dify's Source Code 02: Agent Runtime

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A layer-by-layer look at Dify's three-part agent architecture, from graphon and the workflow glue layer to the legacy agent runtime, compared with a custom LangGraph system.

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A Deep Dive into Claude Managed Agents

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A practical look at Anthropic's managed agent platform, from architecture to implementation, and how the developer's competitive edge changes when infrastructure becomes a platform concern.

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BlogBlog

Starting with a Background Image: The Foundations I Added to selfweb

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From homepage loading and a unified journal to Sanity publishing and cache refreshes, this update strengthened the small systems that keep a personal website maintainable over time.

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Chat with TAsk the AI version of me anything.
T's AI
Hey! What would you like to know?
BlogBlog

Writing

Notes on AI agents, open source, and engineering.

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Field Notes

Short notes, loose thoughts, and fragments without a fixed theme.

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linkslinksFind me online

Always open to a good conversation.

BlogBlog

Small Problems I Hit While Building a PvZ Clone During My Internship

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A record of several small but easy-to-miss Pygame PvZ problems: opening timing, cone and bucket accessories, pea targeting, and zombie blocking rules.

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More Life
More LifeDrake
ProjectProject

AgentFlow

A collection of multi-agent design patterns built with LangGraph StateGraph, covering more than ten architectures including Supervisor, Hierarchical, Parallel, and Debate. Each pattern includes runnable code and architecture diagrams.

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ProjectProject

Auto-Tweet Agent

A seven-node LangGraph agent that automates news discovery, AI summarization, style rewriting, and publishing. It includes conditional routing, human-in-the-loop steps, and fallback handling.

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CHROMAKOPIA
CHROMAKOPIATyler, The Creator
New York
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