Dedicated to Java tech sharing and dissecting top open-source projects. Topics include Spring Boot, Spring Cloud, Docker, Kubernetes and more. Author’s GitHub project “mall” has 50K+ stars.
The article reviews JetBrains' official 'Java and Kotlin by IntelliJ IDEA' VS Code plugin, which runs IntelliJ's language server via LSP to deliver code completion, navigation, refactoring, debugging, and Gradle/Maven/Bazel project import, though test discovery and execution are not yet supported.
Jev is a non-autoregressive "System One" model from TypeSafe AI that outputs typed decisions with calibrated probabilities instead of text, achieving 70-500ms latency and 40-400x cost reduction versus LLMs, with community Java SDKs enabling ticket routing, browser agents, and model/tool selection.
This article reviews Alibaba's new Qoder desktop app, an AI task workstation with programming and general modes, demonstrating building a Vue3 admin system with browser integration, model selection, BYOK support, and annotation-based UI iteration.
The author shares a friend's failed background check after receiving an offer, recounts personal experience navigating third-party verification with departed references, and outlines tactics for handling historical issues, employment gap rules, salary verification, and the importance of sincerity versus strategic omission.
OlliteRT is an open-source Android app that runs large language models locally via Google's LiteRT runtime, exposing an OpenAI-compatible API over LAN for lightweight always-on tasks like RSS summarization and smart home automation, with monitoring, logging, and security features.
Lithe is an open-source lightweight IDE for Java and Spring Boot development that complements AI coding tools, offering project navigation, run/debug, Git diff, and database tools with ~300-400MB memory usage, auto-detected run configurations, and AI-generated commit messages.
A case study of a failed AI knowledge base project reveals the gap between impressive demos and production systems, detailing the required technical paradigms—RAG with multi-granularity indexing, structured data querying, knowledge graphs, ontologies, rule engines, agentic workflows, and rigorous evaluation loops—to build reliable, traceable enterprise AI.
A Reddit user received a free RTX 5080 after cancelling an Amazon order due to US consumer protection laws, while another buyer fell victim to an RTX 5060 Ti swapped as an RTX 5080, and NVIDIA raised its Vera Rubin memory bandwidth to 22.2 TB/s to surpass AMD's MI455X.
JDK 27 introduces three major default behavior changes—G1 as universal garbage collector, 64-bit compact object headers reducing heap usage by 25%, and post-quantum hybrid key exchange for TLS 1.3—plus preview features like structured concurrency, lazy constants, primitive pattern matching, and Vector API for AI workloads.
Alibaba's open-source skill-up tool automates evaluation and regression testing for AI agent skills using declarative YAML, multi-engine replay, and a built-in skill-upper agent that generates test cases, runs them, diagnoses failures, and suggests regression tests — demonstrated by uncovering a hardcoded token limit and logging noise in a vision skill.
