AI Engineering with Python
A scenario-driven guide to AI Engineering with Python, including boundaries, failure paths, and production trade-offs.
Python
AI Engineering
3 min read
Technical Blog
Technical Blog
Thoughts on AI engineering, RAG, and LLM applications.
35 articles
Updated Jan 5, 2026
Topics:
All
Agent
Agents
AI
AI Backend
AI Engineering
API Design
Architecture
Async Python
Asyncio
B+Tree
Backend
Collections
Computer Vision
Concurrency
CPython
Data Structures
Database
Decorator
Dependency Injection
Distributed
Embeddings
FastAPI
GC
Hallucination Prevention
HashMap
High Concurrency
HTTP
Index
Information Retrieval
InnoDB
IoC
IoT
Java
JVM
LangChain
LangGraph
LLM
Memory
Microservices
Multimodal
MVCC
MySQL
Next.js
OpenAI API
Performance
Production
Prompt Engineering
Pydantic
Python
RAG
Redis
Retrieval
Runtime
Search
Spring Boot
SSE
Streaming
Structured Output
Team Project
Thread Pool
Tool Calling
Transaction
Tutorial
Vector Database
Web
原理
可观测性
工程实践
性能
性能优化
教程
测试
生产实践
系统设计
面试
Featured Article
Spring Boot Application Architecture
A scenario-driven guide to Spring Boot Application Architecture, including boundaries, failure paths, and production trade-offs.
Spring Boot
Java
Architecture
1 min read
Read Full Article 
FastAPI AI Streaming APIs with Server-Sent Events
Build cancellable and observable AI streaming endpoints with generators, SSE framing, and disconnect handling.
FastAPI
Streaming
3 min read
FastAPI Async and Dependency Injection: Keep the Event Loop Healthy
Understand async/sync boundaries, pool lifecycles, dependency scopes, and concurrency control in FastAPI.
FastAPI
Async Python
3 min read
FastAPI Project Architecture: Layering Routes and Domain Services
Organize a FastAPI service with layers, dependency injection, and configuration so AI endpoints stay testable and deployable.
FastAPI
Python
3 min read
FastAPI Request and Response Contracts with Pydantic
Use Pydantic schemas, field validation, response shaping, and consistent errors instead of fragile dictionary conventions.
FastAPI
Pydantic
3 min read
Java Collections & HashMap Internals
A scenario-driven guide to Java Collections & HashMap Internals, including boundaries, failure paths, and production trade-offs.
Java
Collections
1 min read
Java Concurrency Model
A scenario-driven guide to Java Concurrency Model, including boundaries, failure paths, and production trade-offs.
Java
Concurrency
1 min read
Java Core Architecture
A scenario-driven guide to Java Core Architecture, including boundaries, failure paths, and production trade-offs.
Java
JVM
1 min read
JVM Memory & Garbage Collection
A scenario-driven guide to JVM Memory & Garbage Collection, including boundaries, failure paths, and production trade-offs.
Java
JVM
1 min read
LangChain Core Architecture: Runnables, Models, and Composable Chains
Understand how LangChain composes prompts, models, parsers, and Runnable stages into testable AI workflows.
AI
LangChain
3 min read
LangChain Memory: Designing Controlled Multi-Turn State
Design conversation history, summary memory, and long-term memory with clear state, capacity, and privacy boundaries.
AI
LangChain
3 min read
LangChain Prompt Chains: Treat Prompts as Maintainable Programs
Use templates, variable contracts, message roles, and composition to build versioned and evaluable prompt chains.
AI
LangChain
3 min read
LangChain Tool-Calling Agents: Separate Decisions from Execution
Design controllable agents with explicit tool schemas, decision loops, execution boundaries, and error recovery.
AI
Agent
3 min read
MySQL Architecture
A scenario-driven guide to MySQL Architecture, including boundaries, failure paths, and production trade-offs.
MySQL
InnoDB
1 min read
MySQL Index & B+Tree
A scenario-driven guide to MySQL Index & B+Tree, including boundaries, failure paths, and production trade-offs.
MySQL
Index
1 min read
MySQL Transaction & MVCC
A scenario-driven guide to MySQL Transaction & MVCC, including boundaries, failure paths, and production trade-offs.
MySQL
Transaction
1 min read
OpenAI API Fundamentals: Requests, Messages, Parameters, and Reliability
Build a reliable model API foundation with client setup, message structure, timeouts, retries, and cost controls.
AI
OpenAI API
3 min read
OpenAI Multimodal AI: Working with Text, Images, and Documents
Design multimodal input pipelines with preprocessing, cost, privacy, and structured output for images and documents.
AI
OpenAI API
3 min read
OpenAI Structured Outputs: Make Model Results Verifiable
Constrain model output with JSON Schema and Pydantic while handling refusals, parse failures, and schema evolution.
AI
OpenAI API
3 min read
OpenAI Tool Calling: Schemas, Execution Loops, and Safety Boundaries
Build auditable function-calling loops with explicit schemas, model decisions, application execution, and result handoff.
AI
OpenAI API
2 min read
Optimizing RAG Retrievers: Top-K, Hybrid Search, and Reranking
Tune RAG retrievers with BM25, vector search, hybrid recall, reranking, and context compression trade-offs.
AI
RAG
2 min read
Production MySQL High-Concurrency Architecture
A scenario-driven guide to Production MySQL High-Concurrency Architecture, including boundaries, failure paths, and production trade-offs.
MySQL
High Concurrency
1 min read
Production RAG Architecture: Permissions, Versions, and Observability
Design deployable RAG systems with ingestion, permission filters, index versions, caching, evaluation, and graceful degradation.
AI
RAG
2 min read
Production Spring Boot Architecture
A scenario-driven guide to Production Spring Boot Architecture, including boundaries, failure paths, and production trade-offs.
Spring Boot
Microservices
1 min read
Python asyncio & Concurrency
A scenario-driven guide to Python asyncio & Concurrency, including boundaries, failure paths, and production trade-offs.
Python
Asyncio
1 min read
Python Data Structures & Decorators
A scenario-driven guide to Python Data Structures & Decorators, including boundaries, failure paths, and production trade-offs.
Python
Data Structures
1 min read
Python Runtime & Basics
A scenario-driven guide to Python Runtime & Basics, including boundaries, failure paths, and production trade-offs.
Python
CPython
1 min read
RAG Embeddings and Vector Databases: The Engineering Behind Similarity
Understand embeddings, distance metrics, metadata, indexing, and incremental updates for reliable vector retrieval.
AI
RAG
3 min read
Spring Boot IoC & Dependency Injection
A scenario-driven guide to Spring Boot IoC & Dependency Injection, including boundaries, failure paths, and production trade-offs.
Spring Boot
IoC
1 min read
Spring Boot Request Lifecycle
A scenario-driven guide to Spring Boot Request Lifecycle, including boundaries, failure paths, and production trade-offs.
Spring Boot
HTTP
1 min read
Three-Layer Hallucination Prevention in RAG Systems: A Practical Guide
Learn how to prevent LLM hallucinations in RAG systems with a three-layer approach: retrieval filtering, prompt engineering, and output validation
AI
RAG
3 min read
Building a RAG Pipeline with LangChain: From Document Processing to Vector Search
A comprehensive guide to building a production-ready RAG (Retrieval-Augmented Generation) pipeline using LangChain, covering document preprocessing, vector storage, and retrieval optimization
AI
RAG
3 min read
No articles found for this filter. Try another tag.