Hualin Luan Cloud Native · Quant Trading · AI Engineering

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Topics

Enter the content map through core domains: backend engineering, distributed systems, cloud-native systems, telecom core OSS/NMS, quantitative trading systems, and AI engineering delivery.

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AI engineering practice

An engineering path from prototype to production for large model applications, covering core topics such as Prompt Engineering, RAG Architecture, LLM Ops, and more.

9 articles 1 guide

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Agent system construction

The design and implementation of autonomous AI Agents, covering architectural patterns, tool invocation, multi-Agent collaboration and memory management.

1 article 0 guides

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Agent Harness

The design and optimization of the Agent running environment covers file system, code execution, sandbox, context management and verification closed loop.

2 articles 0 guides

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AI native application architecture

Paradigm innovation of software architecture in the AI ​​era, exploring AI First design principles and new models of human-machine collaboration.

3 articles 0 guides

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Eval Harness

The design and practice of Agent evaluation system, covering process measurement, artifact-based scoring, trace analysis and infrastructure noise control.

2 articles 0 guides

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Quantitative system development practice

Taking Micang Trader as a case, the reading path is organized around the architectural boundaries, data flow, trading periods, backtesting consistency, performance defense lines, test defense lines and architecture evolution of the real-level quantitative trading system.

7 articles 0 guides 1 series

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AI programming assessment

Topics around AI programming ability assessment, benchmarks, task design, human-machine collaboration and mentor-style feedback mechanisms.

9 articles 0 guides 1 series

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MCP Runtime

Model Context Protocol runtime design, covering remote execution, context economics, code execution and Notebook workflow.

2 articles 0 guides

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Python

Python language and ecosystem, covering script automation, backend services, data engineering, machine learning, large model applications, AI engineering, and performance optimization.

8 articles 0 guides 1 series

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Java

Java language and JVM ecosystem, covering concurrent programming, Spring framework, performance tuning and engineering practices.

8 articles 0 guides 1 series

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Content Platform Engineering

Practices for personal knowledge bases, technical blogs, content discovery, information architecture, and static-site engineering.

4 articles 1 guide 1 series

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Microservice governance

Review the evolution of microservice governance from an architectural perspective, covering enterprise-level practices such as traffic management, observability, resilience design, and release strategies.

6 articles 0 guides 1 series

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OpenClaw security in-depth interpretation

Provide an in-depth interpretation of the security risks and architecture design of the OpenClaw Agent system, covering permission control, audit mechanism, sandbox isolation and accident review.

11 articles 0 guides 1 series