Backend tech guide and AI engineering practice covering fundamentals, databases, distributed systems, high concurrency, system design, plus AI agents and large-model engineering.
Spring Boot 4.0 removes Undertow because it cannot meet the Servlet 6.1 baseline, leading to build failures for projects that depend on spring-boot-starter-undertow, and the article analyzes the technical reasons, compatibility matrix, and lessons for future web‑container selection.
The article reviews OPPO’s 2026 campus hiring salaries for backend and algorithm roles, outlines the interview stages, and provides a comprehensive Java guide covering exceptions, checked vs unchecked, reference types, HashMap concurrency issues, ConcurrentHashMap internals, and the differences between synchronized and volatile.
The article introduces Microstrategy, a US‑based BI firm with a large Hangzhou R&D center, outlines its generous 9‑5‑style work environment, details the interview stages—including written test, technical and non‑technical rounds—and provides concrete advice on self‑introduction, project presentation, system design, Canal‑MySQL sync, XXL‑Job video transcoding, Redis, MongoDB, SQL injection, Java exceptions, OOP concepts, and interview puzzles.
AipexBase, the first Chinese open‑source AI‑native backend‑as‑a‑service platform, lets developers and AI agents bypass traditional server, database, and authentication code by using an MCP‑compatible SDK, with step‑by‑step deployment, API key generation, and integration examples that demonstrate end‑to‑end intelligent app creation.
The article reveals Xiaohongshu’s unusually high 2023 campus recruitment packages—over 51 w annual total—while also providing an extensive backend interview preparation guide covering TCP vs UDP differences, design patterns, workflow versus rule engines, message‑queue selection, and Redis data structures and eviction policies.
The article shares ZTE salary offers and interview tips, then dives into technical deep‑dives on Spring bean injection annotations, compares MySQL InnoDB and MyISAM, explains Redis usage patterns, and walks through JVM OutOfMemoryError diagnosis with concrete code and tooling examples.
Spring AI Alibaba extends Spring AI with multi‑agent and enterprise features, but faces three engineering hurdles—inefficient prompt debugging, unguaranteed AI quality, and opaque operations—so Alibaba released Spring AI Alibaba Admin, offering prompt templating, dataset versioning, evaluator configuration, experiment management, and deep observability to streamline AI agent development and deployment.
The article walks through the evolution from Java 8 to Java 21, comparing preview and standard features such as pattern‑matching instanceof, switch expressions, text blocks, the new HttpClient API, var type inference, virtual threads, records, immutable collections, improved try‑with‑resources, sequenced collections, and garbage‑collector enhancements, illustrating each with concrete code examples and practical recommendations.
The article explains why interviewers often reject flashy project tech stacks, shows how to evaluate the practicality of your own solutions, and lists common over‑engineered patterns such as unnecessary micro‑service suites, misuse of Redis, and needless sharding.
While MySQL has long dominated relational databases with its open‑source stability and massive user base, the rise of AI and PostgreSQL’s extensible ecosystem—highlighted by extensions like pgvector, pg_bm25, TimescaleDB and PostGIS—are shifting developer preference, as shown by the 2025 Stack Overflow survey.
