Backend tech guide and AI engineering practice covering fundamentals, databases, distributed systems, high concurrency, system design, plus AI agents and large-model engineering.
IntelliJ IDEA 2025.3.1 introduced severe Maven project initialization memory leaks and WSL2 file‑system configuration resets, causing IDE freezes and OOM crashes, but JetBrains addressed these issues in the 2025.3.1.1 update and provides temporary workarounds such as cache cleanup, icon disabling, and registry tweaks.
After testing MiniMax M2.1 on a full‑stack e‑commerce order‑management task, the author finds the model correctly implements DDD layers, transaction handling, custom exceptions, and even generates a polished cyber‑punk UI, while its Java‑to‑Go code respects each language’s concurrency model and scores over 88 on the VIBE benchmark.
The author, a non‑elite undergraduate and a modest 211 master’s graduate, shares a step‑by‑step 80‑day crash‑course that turned zero Java experience into multiple offers from major tech firms, emphasizing fundamental understanding, AI‑assisted learning, and thoughtful project trade‑offs.
The article details PDD’s 2023 Shanghai backend salary packages, intense 11‑11‑6 work schedule, Temu’s rapid growth, a comparison favoring Alibaba SSP offers, and provides a comprehensive breakdown of PDD’s interview style, typical coding questions, and high‑frequency technical topics.
The author integrates the newly released GLM‑4.7 model into Claude Code, runs three real‑world coding scenarios—including a React dashboard, a FastAPI authentication service, and a refined landing page—and finds that its stability, reasoning, and output quality closely match Claude Sonnet 4.5, positioning GLM‑4.7 as a strong open‑source alternative.
IntelliJ IDEA 2025.3.1 quickly follows the 2025.3 major release, fixing over 200 issues, reinstating the classic Query Console, addressing WSL‑related Java debugging problems, stabilizing Gradle/Maven sync for large multi‑module projects, improving Spring tooling, Java debugging, Kotlin‑MongoDB support, and correcting terminal and TypeScript bugs.
The article details Tuhu Auto’s Shanghai Java backend compensation (30k‑33k monthly with 14.4‑month salary and 2‑3w signing bonus), outlines the company’s market position, and provides a comprehensive list of technical and HR interview questions covering JVM, concurrency, MySQL, Spring, DDD, distributed locking, rate limiting, and more.
The article starts by highlighting Xiaomi's competitive software developer salaries, then provides a detailed Java interview guide covering reflection fundamentals, static vs dynamic proxies, SPI vs API, synchronization behavior, Redis caching strategies, and JWT authentication, complete with code examples and practical comparisons.
A third‑year student recounts four distinct campus interviews—from a state‑owned big‑data firm to an AI startup—detailing test formats, technical questions, and personal growth, and concludes that most graduates ultimately join the countless small‑mid‑size companies that keep society running.
The article details Alibaba's 2024 campus backend salary bands, compares them with peers, outlines the interview process and project presentation tips, and provides in‑depth technical tutorials on Redis Lua scripts, cache consistency, slow‑query logging, MySQL optimization, Java reflection, WebSocket vs polling, SSE, TCP/UDP, and HTTP vs HTTPS.
