Tech Blog

Frontend deep dives, architecture design, performance optimization, and development insights

编程语言

Pydantic V2 Data Validation: Models to Custom Validators

From BaseModel design to custom validators, serialization to JSON Schema generation, and FastAPI integration for production-grade Python data validation

PythonPydantic数据校验FastAPI类型注解
AI与大数据

Python Multimodal AI: Image Understanding to Video Analysis

Complete guide to Python multimodal AI development, covering vision-language models, image understanding, video analysis, and deployment with GPT-4V

多模态AIGPT-4V视觉语言模型图像理解Python
AI与大数据

Python OpenTelemetry LLM Tracing: Spans to Intelligent Alerts

Complete guide to Python OpenTelemetry LLM tracing, covering span instrumentation, token tracking, prompt/response logging, and multi-model chains

PythonOpenTelemetryLLM链路追踪可观测性
AI与大数据

Python MCP Client: 7 Multi-Tool Orchestration Patterns

Complete guide to Python MCP client integration covering protocol parsing, server connection, tool discovery, multi-tool orchestration, and error handling

PythonMCPModel Context ProtocolAI工具编排函数调用
AI与大数据

Python MCP Server Development: AI Agent-Callable Tool Services

A practical guide to Python MCP Server development, covering tool definition and registration, SSE/stdio transport, and Claude/ChatGPT integration

PythonMCPModel Context ProtocolAI工具SSE
AI与大数据

Python LLM Inference Acceleration: From 100ms to 10ms Latency

Complete guide to Python LLM inference acceleration, covering vLLM PagedAttention, TensorRT-LLM, quantization (GPTQ/AWQ/GGUF), and KV Cache management

LLM推理加速vLLMTensorRT-LLM量化部署KV Cache
AI与大数据

Python LLM Prompt Caching: 5 Strategies to Cut API Costs 90%

A deep-dive guide to LLM Prompt Caching in Python, covering OpenAI Prompt Caching, Anthropic Prompt Cache, and GPTCache semantic caching.

Prompt CachingLLM成本优化OpenAI缓存Anthropic缓存API省钱
AI与大数据

Python LLM LoRA Fine-tuning in 2026: 5 Fatal Pitfalls

A guide to fine-tuning large language models with LoRA/QLoRA in Python, covering environment setup, data preparation, and training configuration.

PythonLoRA大模型微调LLMQLoRA
编程语言

Python FastAPI Production Deployment: Docker to Kubernetes

From Uvicorn/Gunicorn config to Docker optimization, K8s deployment, health checks, middleware, rate limiting, and observability

PythonFastAPI生产部署DockerKubernetes
AI与大数据

Python LLM API Integration: From Basics to Production

A guide to integrating LLM APIs with Python, covering OpenAI SDK usage, streaming, Function Calling, and Pydantic structured output.

Python大模型LLMAPIOpenAI
AI与大数据

Dify AI Workflow Orchestration: 7 Steps to Production LLM Apps

Complete Dify AI workflow development guide — from platform deployment and workflow design to custom tool integration, RAG pipeline setup, and API calls

Dify AI工作流AI工作流编排LLM应用开发Dify部署RAG工作流
AI与大数据

dbt 2026: 5 Modeling Patterns for the Modern Data Stack

Complete guide to dbt Core 1.8 data transformation: project setup, incremental models, data testing, macros, and CI/CD production deployment

dbt数据转换数据建模SQL转换dbt Core
AI与大数据

Python DSPy: 5 Fatal Pitfalls in LLM Programming

A guide to building AI Agents with the Python DSPy framework, covering module composition, signature definition, and automatic prompt optimization.

PythonDSPyAI AgentLLM编程提示词优化
AI与大数据

Multimodal RAG: 5 Core Technologies for Cross-Modal Retrieval

From image-text alignment to video understanding, CLIP multimodal embedding to cross-modal retrieval — a complete multimodal RAG development guide

多模态RAG图像RAG视频检索增强多模态EmbeddingCLIP RAG
编程语言

Python asyncio in Practice: From Principles to Production

A guide to Python asyncio: sync vs async execution model, event loop internals, async/await syntax, Task vs Future, common async patterns, and async I/O.

Pythonasyncio异步编程协程教程
编程语言

Python Celery Task Queue: 6 Event-Driven Pipeline Patterns

From task design to routing, retry strategies to canvas workflows, Flower monitoring to production deployment

PythonCelery分布式任务RedisRabbitMQ
前端工程

Building Modern Web Apps with Go templ + htmx (2026)

Go templ + htmx for type-safe, progressively-enhanced full-stack apps — components, forms, SSE, deployment, SPA comparison.

Gotemplhtmx超媒体Web开发
AI与大数据

Apache Airflow 2.10: 5 DAG Orchestration Patterns for ETL

Complete guide to Airflow 2.10 data pipelines: TaskFlow API, Dynamic Task Mapping, custom Operators, XCom data passing, error handling, and SLA monitoring

Airflow数据管道ETL编排DAG工作流Airflow 2.10
AI与大数据

Python AI Structured Output: Reliable JSON from LLMs

From Pydantic Schema to Function Calling, structured generation to output validation — a complete guide to AI structured output

结构化输出AI JSONPydanticPython AI
AI与大数据

Python CrewAI Workflow: Multi-Role Agent Collaboration

Complete guide to building AI workflows with CrewAI in Python — from Agent/Task definitions and process orchestration to custom Tool integration

CrewAI工作流AI Agent编排多角色协作Agent框架