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DaTaobao Tech
DaTaobao Tech
Jan 7, 2026 · Artificial Intelligence

5 Design Patterns to Control LLM Output in Generative AI Applications

The article presents five design patterns—Logits Masking, Grammar, Style Transfer, Reverse Neutralization, and Content Optimization—for steering the output of generative AI models, compares their suitable scenarios, advantages, drawbacks, and anti‑patterns, and provides concrete implementation steps, code snippets, and flowcharts to help developers reliably enforce style, format, and compliance constraints.

LLMgenerative AIoutput control
0 likes · 20 min read
5 Design Patterns to Control LLM Output in Generative AI Applications
DaTaobao Tech
DaTaobao Tech
Jan 5, 2026 · Artificial Intelligence

Why AI Engineering Isn’t a Reinvention of Software Architecture – Insights from AI Search

The article examines how AI engineering builds on, rather than discards, traditional software engineering principles, using the evolution of AI‑driven search at Alibaba to illustrate architectural upgrades that manage uncertainty, integrate context engineering, and combine classic design patterns with new AI‑specific tools.

AI engineeringSoftware Architecturecontext engineering
0 likes · 21 min read
Why AI Engineering Isn’t a Reinvention of Software Architecture – Insights from AI Search
DaTaobao Tech
DaTaobao Tech
Dec 31, 2025 · Backend Development

How AI Transformed a Taobao Service‑Package System with Domain‑Driven Design

This article examines how a rapidly growing Taobao flash‑sale service‑package system suffered from high development costs, duplicated code, and tight coupling, and shows how AI‑assisted domain‑driven design was applied to refactor the architecture, automate code generation, and dramatically improve efficiency, maintainability, and extensibility.

AIBackend RefactoringJava
0 likes · 13 min read
How AI Transformed a Taobao Service‑Package System with Domain‑Driven Design
DaTaobao Tech
DaTaobao Tech
Dec 1, 2025 · Artificial Intelligence

How AI Can Automate Repetitive Work: From Simple Tools to Intelligent Agents

This article shares the author's practical experience in using AI to tackle complex repetitive tasks, presenting a reusable methodology that abstracts human actions into a perception‑decision‑execution loop, and demonstrates three automation modes—tool assistant, workflow, and intelligent agent—through real‑world cases in data governance, ticket handling, and baseline operations.

AI automationData GovernanceWorkflow
0 likes · 23 min read
How AI Can Automate Repetitive Work: From Simple Tools to Intelligent Agents
DaTaobao Tech
DaTaobao Tech
Nov 24, 2025 · Frontend Development

How Spec‑Driven AI Collaboration Solves Front‑End Component Reuse Challenges

The article examines the difficulties of traditional front‑end component reuse, proposes a spec‑driven AI collaboration model that shifts from code reuse to specification reuse, and demonstrates the approach with a detailed Bottom component case study, including design principles, architecture, code snippets, and practical benefits.

AI code generationComponent ReuseTypeScript
0 likes · 31 min read
How Spec‑Driven AI Collaboration Solves Front‑End Component Reuse Challenges
DaTaobao Tech
DaTaobao Tech
Nov 19, 2025 · Databases

Mastering MySQL Slow Query Diagnosis and Index Optimization

This article walks through a real‑world slow‑SQL case on a massive e‑commerce order table, explains B+Tree index structures, index height estimation, index push‑down, sorting strategies, EXPLAIN and Query Profiler usage, and provides a step‑by‑step SOP for safe index changes and validation.

B+ treeMySQLQuery Profiling
0 likes · 40 min read
Mastering MySQL Slow Query Diagnosis and Index Optimization
DaTaobao Tech
DaTaobao Tech
Nov 10, 2025 · Artificial Intelligence

How Tmall’s AI Transforms Test Case Generation for Faster, Smarter QA

This article details Tmall's technology team's deep AI‑driven testing practice, outlining industry challenges, the need for intelligent test case generation, and a comprehensive strategy that combines prompt engineering, RAG‑based knowledge bases, and platform integration to boost coverage, reduce manual effort, and accelerate release cycles.

AI TestingRAGknowledge base
0 likes · 10 min read
How Tmall’s AI Transforms Test Case Generation for Faster, Smarter QA
DaTaobao Tech
DaTaobao Tech
Nov 7, 2025 · Artificial Intelligence

Can AI Self‑Test and Fix Its Own Code? A Test‑Driven AI Programming Workflow

This article introduces a test‑driven AI programming loop that tackles the “last‑mile” problem of AI‑generated code by adding automated acceptance, self‑testing, bug fixing, and continuous iteration, demonstrated through a favorite‑count feature repair case and outlining future enhancements.

AI programmingcode generationcontinuous integration
0 likes · 13 min read
Can AI Self‑Test and Fix Its Own Code? A Test‑Driven AI Programming Workflow
DaTaobao Tech
DaTaobao Tech
Oct 29, 2025 · Artificial Intelligence

Master AI Coding: From Token Mechanics to Practical Best Practices

This comprehensive guide explains the underlying principles of AI coding assistants—including token calculation, tool calling, codebase indexing, and Merkle tree synchronization—while offering actionable best‑practice recommendations for prompt engineering, incremental development, documentation, security compliance, and effective team adoption.

AI codingcodebase indexingtoken calculation
0 likes · 45 min read
Master AI Coding: From Token Mechanics to Practical Best Practices
DaTaobao Tech
DaTaobao Tech
Oct 22, 2025 · Artificial Intelligence

How AI Coding Transforms Complex Client Development: Methods, Challenges, and Efficiency Gains

This article reveals the core methodology of applying AI coding to complex client-side development, discusses practical challenges, prompt design, task decomposition, efficiency improvements, and provides actionable guidelines and architectural rules for integrating AI into UI and service layers.

AI codingEfficiencySoftware Architecture
0 likes · 15 min read
How AI Coding Transforms Complex Client Development: Methods, Challenges, and Efficiency Gains