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Discover Spring Modulith's latest features including revamped event publication registry, C4 model integration, and enhanced observability support in the upcoming 2.0 release.
Discover cryptographic agility strategies to prepare for quantum computing threats and streamline future security migrations in digital communication systems.
Explore generative AI's true potential beyond the hype - examining productivity gains, trust issues, and whether developers face replacement in this evolving landscape.
Discover Java's emerging role as a powerful AI development platform, exploring Project Panama, Vector API, and Deep Netts for scalable, enterprise-ready AI applications.
Explore the evolution of version control systems beyond Git, examining emerging tools like Jujutsu, Sapling, and GitButler that promise to simplify workflows and enhance developer experience.
Discover how to run powerful LLM inference on GPUs using pure Java with GPULlama3.java, TornadoVM, and modern JDK features for AI applications without Python dependencies.
Discover passwordless authentication in Spring Security using one-time tokens and passkeys to eliminate password vulnerabilities and enhance user experience with seamless login flows.
Discover effective code review strategies and soft skills for tech leads, covering feedback tailoring, communication techniques, and quality improvement methods.
Explore advanced Model Context Protocol architectures, scaling strategies, and authorization patterns for building production-ready AI systems with external data integration.
Explore AIOps transformation through Adobe's real-world use cases, covering LLM-powered diagnostics, AI automation for on-call tasks, and strategies to reduce MTTR in modern IT operations.
Discover how Spring Modulith enables vertical package slicing to reduce cognitive load and simplify code organization through encapsulation and dependency management.
Explore why popular architectural patterns like Hexagonal and Clean Architecture might be solving the wrong problems in domain-driven design and software structure.
Discover how Model Context Protocol (MCP) connects AI agents to enterprise systems using Wanaku, an open-source server built with Quarkus and Apache Camel for scalable integrations.
Explore prompt injection attacks on AI systems, learn common techniques like instruction overrides, and discover practical mitigation strategies to secure your LLM applications.
Discover how to secure AI agents using OAuth2 and OpenFGA to prevent unauthorized access, tool abuse, and data leaks through role-based controls and authorization strategies.
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