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After reviewing more than a thousand pull requests, the author identifies seven recurring problems—unreadable code, hidden error handling, thread‑safety oversights, N+1 database queries, hard‑coded configuration, ignoring failure paths, and overly large PRs—and explains why they matter and how to avoid them.
The article argues that AI may write code far faster, but a programmer’s true worth lies in understanding requirements, making decisions, and solving business problems, so it advises shifting from a pure coder to a problem‑modeler who leverages AI as a productivity amplifier.
The article explains that Nginx and Spring Cloud Gateway serve different roles—Nginx as a network gateway handling static files, load balancing, SSL termination, and ops tasks, while Gateway focuses on business routing—so using both together improves performance, scalability, and operational separation.
The article explains why the Linux kernel reports less usable memory than the physical RAM, detailing the memblock allocator, crashkernel reservations, page‑struct overhead, and the handoff to the buddy system, showing how the kernel consumes memory for its own management.
The article presents ten practical AI prompt templates that cover the full software development workflow—from requirement clarification and code generation to testing, refactoring, debugging, performance tuning, SQL optimization, documentation, design review, and cross‑language translation—helping developers get accurate, production‑ready results from AI.
Alec Radford’s team released Talkie, a 13‑billion‑parameter LLM trained exclusively on pre‑1931 texts (2600 billion tokens), which surprisingly can generate correct Python programs via few‑shot learning, demonstrating genuine reasoning rather than mere memorisation, and the article details its experiments, data‑quality challenges, comparative performance, and ambitious scaling roadmap.
A tiny UI tweak that required a meeting with four backend groups exposed the pain of calling many micro‑services from the front‑end, and the article shows how introducing a Backend‑For‑Frontend (BFF) layer can aggregate, transform, and simplify those calls while improving reliability and performance.
In the 1990s, Windows Task Manager shipped at only about 80 KB, a feat driven by extreme hardware limits and meticulous engineering; Dave Plummer explains the design choices that kept it responsive and how those minimalist principles still guide efficient software development today.
The article explains that China’s large‑scale migration from Windows to Linux in state‑owned and central enterprises is driven by security independence, massive licensing cost savings, ecosystem development, and strategic preparation for potential sanctions, offering both challenges and new opportunities for the tech workforce.
This article analyzes ten frequent pitfalls when using MyBatis-Plus—such as incorrect pagination totals, pagination plugin misconfiguration, logical delete failures, auto‑fill issues, optimistic‑lock mismatches, null handling in QueryWrapper, batch‑insert performance, enum mapping errors, wrapper condition overrides, and type‑handler problems—provides root‑cause explanations, concrete code examples, and practical solutions to help developers write more robust and efficient Java backend code.
