This article explains the most common C language compilation, linking, and runtime error codes, shows why they occur, and provides clear examples and step‑by‑step fixes so beginners can quickly diagnose and resolve their code problems.
This comprehensive guide explains WeChat's risk‑control logic, details every step from detecting a restriction to completing the unblocking process, decodes common error codes, provides appeal material templates, and offers post‑unblock prevention tips to help users reliably restore their accounts.
This article narrates the messy history of API design, illustrating early AJAX conventions, the misuse of HTTP status codes, the challenges of maintaining Restful standards, ad‑hoc extensions, and the eventual abandonment of Restful in favor of a simplified POST‑centric approach, while highlighting practical lessons for backend developers.
This article explains the importance of well‑designed API and database structures, outlines principles for creating clear and traceable error codes, provides response format examples, discusses error propagation strategies, highlights common pitfalls, and proposes a full‑link trace‑id logging system for backend services.
A worldwide Windows blue‑screen outage was caused by a CrowdStrike Falcon update that introduced a bug, leading to system crashes across many industries, and the article explains the incident, its impact, a temporary fix, and the typical technical reasons behind blue‑screen errors.
This article explains how to design a unified business error‑code system for RESTful APIs, demonstrates the structure and format of such codes, provides a Go implementation with structs, interfaces and formatting methods, and shows practical usage in a Gin web server including logging and notification strategies.
This article outlines practical guidelines for designing systematic error codes and user‑friendly messages, covering classification, templating, dynamic generation, documentation, automation, and references to open‑source specifications such as HTTP, gRPC, Microsoft REST, Google JSON, and Linux errno.
This article explains the classification of HTTP request error codes, details typical 4xx client and 5xx server errors, provides common causes, and offers practical debugging steps and solutions to efficiently identify and resolve front‑end and back‑end issues.
The article explains how object‑oriented analysis and design should treat exceptions by using RAII for automatic resource cleanup, avoiding error‑code patterns, and adopting a throw‑by‑default policy with strongly‑typed exceptions, illustrating concepts with C++ and VB.NET examples and framework design recommendations.
This article explains how to design consistent API error codes and messages by borrowing the structured approach of HTTP status codes, covering code segmentation, personalized messages, and unified monitoring to improve developer communication and reduce maintenance overhead.
This article explains how to design clear, consistent API error codes and messages by referencing HTTP status code segmentation, defining code‑message pairs, customizing user‑friendly messages, and centralizing handling to improve communication, debugging, and monitoring for backend services.
This article explains how to design clear and consistent API error codes and messages by borrowing the segmentation logic of HTTP status codes, defining code‑message pairs, providing personalized user‑facing messages, and centralizing handling for monitoring and alerting, ultimately reducing communication and maintenance costs.
This article explains how to design clear, consistent API return codes and messages by referencing HTTP status codes, defining code‑message pairs, supporting personalized messages for different clients, and using unified handling for monitoring and alerting, ultimately improving communication and maintenance costs.
This article explains why a well‑designed API error‑code system—using consistent numeric or string codes, clear messages, HTTP‑status‑like segmentation, personalized user messages, and unified handling for monitoring—reduces communication overhead, simplifies maintenance, and improves overall backend reliability.
The article explains why a well‑designed API return‑code system—modeled after HTTP status codes, with clear numeric ranges, descriptive messages, and personalized user messages—reduces communication overhead, simplifies maintenance, and enables effective monitoring and alerting for backend services.
This article explains how to design clear and consistent API error and result codes, using HTTP status code concepts, parameter conventions, personalized messages, and unified handling to improve communication, reduce maintenance costs, and enable effective monitoring and alerting for backend services.
The article shows how to avoid hard‑coded status strings in Vue by defining a reusable errorCode module, importing it where needed, and mapping backend response codes to human‑readable messages with a default fallback, simplifying maintenance across the project.
This article explains the complexities of exception handling across various backend scenarios—such as message queues, RPC services, mobile and PC clients—offering practical guidelines on when to catch, rethrow, use error codes, or employ alternatives like Java Optional to improve code clarity and system reliability.
This newsletter blends deep dives into Vue 3 RFC processes, cloud‑gaming opportunities, robust error‑code design, AI‑driven SQLFlow and Pipcook tools, plus handy regex and FIGlet utilities, offering developers practical knowledge across front‑end, back‑end, and emerging technologies.
This article explores the principles and practical guidelines for designing error codes, comparing log‑oriented and external‑facing standards, analyzing numeric versus alphanumeric formats, and presenting recommended structures to improve traceability, memorability, and cross‑team communication in modern backend systems.
The April 22 release of Alibaba’s Java Development Manual “Taishan” edition introduces five mandatory date‑time rules, two table‑alias SQL conventions, and a unified error‑code standard, all aimed at improving code consistency and reliability across backend projects.
The new Java Development Manual (Taishan Edition) adds 34 rules and revises 90 descriptions, introduces a unified five‑character error‑code scheme, warns about stream‑toMap and ternary‑operator null‑pointer traps, highlights leap‑year and SQL alias bugs, and recommends readability tweaks such as blank lines after returns.
This article explains the concept, benefits, and implementation details of a unified error‑code management platform, covering code allocation, handling strategies in microservice architectures, API security considerations, and performance optimizations to reduce development friction and improve system reliability.
This article explains a PerRequest‑level problem‑location method for mobile internet, detailing how precise packet loss enumeration and a Supply‑Chain‑based logging approach dramatically improved Sina Weibo image quality by identifying and reducing key error codes.
This article details seven common Oracle Listener issues—including intermittent connections, process crashes, ORA-12514, SCAN registration failures, listener hangs, TNS-12535/00505 errors, and TNS-12547 lost-contact—explaining symptoms, root causes, and step-by-step remediation commands for DBA teams.
This article explains why Node.js throws errors like ETIMEDOUT and EADDRINUSE, detailing the underlying glibc connect() function, its error codes, and how non‑blocking sockets and thread cancellation affect resource handling.
