ScopedValue in Java offers safe, immutable context propagation with clear scoping and minimal overhead—ideal for structured concurrency and virtual threads.
Data mesh decentralizes data ownership, creating new security gaps. This guide covers zero trust, federated governance, and observability to secure modern architectures.
DSPy improves AI development by replacing prompt engineering with patterns. This guide explores how DSPy's features enable language model applications.
August 11, 2025
by Vidyasagar (Sarath Chandra) Machupalli FBCS
CORE
Learn how testing strategies like mutation and data-driven testing improve reliability and quality in Jakarta EE apps, with practical tools and examples.
Agentic AI represents a transformative leap beyond traditional AI by demonstrating autonomy, proactive goal-setting, adaptive multi-step planning, and persistent memory.
Playwright enables unified API and UI testing with support for all HTTP methods, authentication, retries, and mocks—helping build reliable backend tests fast.
Secure APIs with strong authentication, rate limiting, input validation, and versioning to prevent attacks, manage traffic, and ensure long-term stability.
Learn how to enforce JWT policies in API Manager with a RAML project. Secure endpoints using Auth0, plus apply IP whitelisting and rate limiting in Anypoint.
Use the custom prompts from this article and the linked repository to have the agent (1) plan, (2) implement, and (3) review any code for better results.
AI is transforming network routers and switches by driving intelligent automation, boosting performance and security, while streamlining operational complexity.
In this article, learn the core challenges of running AI in the cloud — availability, reliability, observability, and responsibility — and how to overcome them.
Explore existing problems with AI-assisted coding. AI tools need to give developers more structure, more control, and more ways to test and trust what gets built.
Use JUnit 5’s @ParameterizedTest with @EnumSource and @MethodSource to run tests with multiple data inputs, improve test coverage, and efficiency for robust applications.