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The article explains how excessive if‑else logic in multi‑business middle‑platforms leads to maintenance nightmares and demonstrates, with concrete code and a real open‑source project, how a flow engine and plugin‑extension framework provide clean isolation, extensibility, and reliable execution of business processes.
The article explains why existing Java AI frameworks struggle with DeepSeek R1’s chain‑of‑thought and streaming features, introduces DeepSeek4j 1.4 as a targeted solution, details its core capabilities, and provides a step‑by‑step guide to integrate it with Spring Boot and Project Reactor.
This guide walks you through creating a Spring Boot project, configuring DeepSeek's large language model via SiliconFlow, setting up OpenAI‑compatible parameters, and implementing a REST controller that returns weather forecasts using the model, complete with step‑by‑step code snippets, configuration files, and deployment instructions.
This article walks through the author's experience of creating a comprehensive Spring Boot backend template—including project scaffolding, one‑click scripts, business‑oriented package layout, automated test classification, logging, exception handling, distributed locks, Swagger API docs, Flyway migrations, multi‑environment builds, CORS setup, and static code checks—so new developers can start coding with minimal friction.
This step‑by‑step guide shows how to obtain a DeepSeek API key, set up an Alibaba Cloud ECS instance, configure the WeChat public platform, clone the open‑source COW project, edit its JSON configuration, and run the service so that a WeChat public account can interact with the DeepSeek large language model.
This article explains Apache Tika’s core features and architecture, outlines common use‑cases, and provides a step‑by‑step Spring Boot tutorial—including Maven/Gradle setup, a service that extracts text with Tika, regex‑based sensitive‑info detection, a REST controller, optional front‑end, testing instructions, expected output, and extension ideas.
This step‑by‑step guide shows Java developers how to prepare the environment, install the CodeGPT plugin, configure DeepSeek API keys, set up chat and inference models in IntelliJ IDEA, and then use the assistant for code generation, completion, explanation, and troubleshooting, complete with screenshots and example code.
This guide walks you through DeepSeek’s core capabilities—including installation on Windows, macOS, and Linux, configuration of storage paths, API keys, and logging levels, as well as data import, cleaning, analysis, visualization, batch processing, scheduling, and plugin extensions—providing concrete command examples and troubleshooting tips.
This article compares three Java concurrency approaches—Future with Callable, CompletableFuture, and FutureTask—explaining their underlying principles, step‑by‑step usage, code examples, and trade‑offs so you can decide which asynchronous tool best fits your reporting workload.
DeepSeek’s ability to deliver top‑tier model performance on modest hardware sparked a US‑stock flash crash, challenged the high‑GPU demand narrative, and revealed unusually high salary tiers for AI researchers, prompting a reassessment of compute economics and talent compensation in the industry.
