pcat

Hi, I'm pcat. A Software Engineer turning everyday problems into products with AI Agents.

pcat, Software Engineer

Focused on AI evaluation and agent architecture.

Writing

文章

全部文章

  1. 學習筆記 - 初探 Kafka, CDC 實作

    初探 Kafka，了解 Kafka 的基本概念和使用方法，並實作 CDC。

    Kafka · 10 min read

  2. GitHub Pages 自訂部署：從 Build 到上線的完整流程

    拆解 GitHub Pages 自訂部署的實作細節——GitHub Actions 如何知道要去哪抓你 build 好的靜態檔案？這篇用實際的 workflow 設定來說明整個流程。

    DevOps · 5 min read

  3. AI 工具比較：為什麼我選擇 Claude Code

    2024-2025 年 AI 編程工具百花齊放。這篇文章整理我在評估各類工具後，最終選擇 Claude Code 的思考過程。

    AI & Tools · 10 min read

Projects

作品

全部作品

  1. Autonomous Code Repair Agent

    AI / Developer Tooling

    An autonomous coding-agent system that diagnoses reported bugs, implements fixes in isolated worktrees, runs deterministic verification and independent review, and delivers validated GitLab merge requests with resumable execution and safety gates.

  2. LLM Compliance Agent

    AI / LangGraph

    Graph-based multi-agent system using LangGraph to automate regulatory notice processing, product delisting, and alert generation. Handles 200+ daily government emails with 99.5% accuracy.

  3. Similar Product Search Platform

    ML / Data Pipeline

    Large-scale product similarity search serving 15M products using multi-modal embeddings (VGG + Sentence-BERT) with Faiss ANN indexing, enabling 10s-level batch retrieval.

  4. Internal Backend Platform

    Backend / FastAPI

    RESTful APIs built with FastAPI serving 500+ users across finance workflows. Features Google OAuth SSO, RBAC, Docker/K8s deployment, and ELK-based centralized logging.