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Java Tech Enthusiast

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Java Tech Enthusiast
Java Tech Enthusiast
Jun 15, 2026 · Backend Development

Spring Boot Interceptor vs Filter: 5 Pitfalls and Choosing the Right One for Login Checks

Spring Boot’s Filter and Interceptor can both intercept requests, but developers often misuse them; this article explains five frequent traps—null autowiring in Filters, execution order mistakes, @Value timing issues in Interceptors, Swagger blocking, and exception handling—offering concrete fixes and a decision guide.

InterceptorJavaLogin Validation
0 likes · 13 min read
Spring Boot Interceptor vs Filter: 5 Pitfalls and Choosing the Right One for Login Checks
Java Tech Enthusiast
Java Tech Enthusiast
Jun 14, 2026 · Artificial Intelligence

DeepMind’s AlphaProof Nexus Solves Nine Erdős Problems for a Few Hundred Dollars

DeepMind’s AlphaProof Nexus, powered by Gemini 3.1 Pro and a Lean‑based proof‑checking loop, open‑sourced its code on GitHub and solved nine long‑standing Erdős problems—including a 56‑year‑old set—for only a few hundred dollars per theorem, while also proving 44 OEIS conjectures and advancing convex‑optimization theory.

AI mathematicsAlphaProof NexusDeepMind
0 likes · 10 min read
DeepMind’s AlphaProof Nexus Solves Nine Erdős Problems for a Few Hundred Dollars
Java Tech Enthusiast
Java Tech Enthusiast
Jun 13, 2026 · Backend Development

MyBatis-Plus vs MyBatis-Flex: Which One Is Better?

This article compares MyBatis-Plus and MyBatis-Flex across eight dimensions—including design philosophy, development efficiency, query flexibility, performance, database support, advanced features, dependency weight, and community ecosystem—to help developers choose the most suitable persistence framework for their projects.

ComparisonJavaMyBatis-Flex
0 likes · 18 min read
MyBatis-Plus vs MyBatis-Flex: Which One Is Better?
Java Tech Enthusiast
Java Tech Enthusiast
Jun 13, 2026 · Artificial Intelligence

Why Bigger 1M‑Token Windows Still Need Careful Context Engineering

Even though modern LLMs like DeepSeek‑V4, GPT‑5.5 and Claude Opus 4.7 support 1 million‑token windows, simply stuffing more data does not improve agent performance; effective Context Engineering—selecting, structuring, and managing the right information—remains essential for reliable results.

Context EngineeringLLM agentsPrompt engineering
0 likes · 32 min read
Why Bigger 1M‑Token Windows Still Need Careful Context Engineering
Java Tech Enthusiast
Java Tech Enthusiast
Jun 12, 2026 · Artificial Intelligence

AgentScope Java 2.0 Released: Enterprise‑Ready AI Agent Framework Explained

AgentScope Java 2.0 launches to solve the “Demo Curse” by adding native distributed deployment, full‑stack multi‑tenant isolation, fine‑grained permission control, a file‑driven Workspace, middleware extensions and robust model fault‑tolerance, turning prototype agents into production‑grade services.

AIAgentFrameworkAgentScope
0 likes · 26 min read
AgentScope Java 2.0 Released: Enterprise‑Ready AI Agent Framework Explained