Software Engineering

Didi Tech

Jan 9, 2025 · Fundamentals

Technical Debt: Definition, Classification, and Governance Strategies

Technical debt, the intentional or accidental shortcuts taken during software development, is classified into four quadrants and multiple layers such as architectural and code‑quality debt, and can be managed through a governance framework that records items, prioritizes them by value‑vs‑cost, allocates dedicated improvement time, enforces linting and CI, and guides systematic migrations like Flutter null‑safety.

FlutterProject ManagementSoftware Engineering

0 likes · 14 min read

Technical Debt: Definition, Classification, and Governance Strategies

Tencent Cloud Developer

Nov 21, 2024 · Artificial Intelligence

Case Study: Tencent Health's Implementation of AI Code Assistant for Enhanced Development Efficiency

Tencent Health’s medical team deployed Tencent Cloud’s AI Code Assistant, achieving full coverage with roughly 40 % of code generated by the AI; after overcoming early bugs via a vanguard team and feedback loops, they increased per‑capita delivered requirements by 18 %, coding output by 41 %, cut defect rates by 31 %, and earned a 4.8‑out‑of‑5 satisfaction score while planning deeper integration and API‑driven extensions.

AI ImplementationAI code assistantCase Study

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Case Study: Tencent Health's Implementation of AI Code Assistant for Enhanced Development Efficiency

Tencent Cloud Developer

Aug 14, 2024 · Fundamentals

From Business Modeling to System Use Case Diagrams: A Complete Guide to Requirements Analysis

The guide walks readers through clarifying vision, modeling business use case diagrams that capture external value, then translating those insights into detailed system use case diagrams and specifications—including actors, pre/postconditions, and paths—emphasizing that solid requirements, not code alone, drive enterprise profit.

DDDSoftware EngineeringSystem Design

0 likes · 19 min read

From Business Modeling to System Use Case Diagrams: A Complete Guide to Requirements Analysis

Java Tech Enthusiast

Jul 15, 2024 · Fundamentals

James Gosling's Career Journey and Retirement

James Gosling, the Canadian creator of Java, announced his retirement after a five‑decade career that spanned IBM, Sun, Oracle, Google, Liquid Robotics and Amazon, highlighted by pioneering the Java language and virtual machine, earning prestigious awards and widespread admiration from the developer community.

James GoslingJavaRetirement

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James Gosling's Career Journey and Retirement

Tencent Cloud Developer

Jan 25, 2024 · Backend Development

How to Write Testable Business Code in Go: A Practical Guide

The guide shows that by consciously designing Go data structures and function interfaces—using pure functions, parameter injection, interface abstractions, struct‑based objects, or function‑variable patterns—and avoiding init(), developers can expose and control all dependencies, making business code inherently testable and achieving high unit‑test coverage.

Software Engineeringbackend developmentbest practices

0 likes · 17 min read

How to Write Testable Business Code in Go: A Practical Guide

Tencent Cloud Developer

Oct 18, 2023 · Backend Development

Four Discourses on Domain-Driven Design: Bridging the Practical and Academic Schools

The article systematically examines Domain‑Driven Design through four discourses—Structure, Process, Language, and Modeling—while contrasting the practical “folk” school with the academic school, linking philosophical ideas, software‑complexity theory, strategic and tactical design, refactoring, agile practices, ubiquitous language, and its parallels to UML/SysML, arguing DDD repackages existing engineering concepts rather than inventing new ones.

Bounded ContextDDD Strategic DesignDDD Tactical Design

0 likes · 17 min read

Four Discourses on Domain-Driven Design: Bridging the Practical and Academic Schools

Ant R&D Efficiency

Sep 12, 2023 · Artificial Intelligence

The Impact of ChatGPT on Software Engineers: Threats, Opportunities, and Strategies for the AI Era

Co‑authored with ChatGPT, this article explores how large language models reshape software engineering by automating routine coding and bug‑fixing, raising skill demands, boosting productivity through code generation and reviews, creating new AI‑focused roles, highlighting tasks that remain human‑centric, and urging engineers to upskill in AI, data science, ethics, and collaborative problem‑solving to stay competitive in the irreversible AI era.

AI impactAutomationChatGPT

0 likes · 11 min read

The Impact of ChatGPT on Software Engineers: Threats, Opportunities, and Strategies for the AI Era