Learn how to secure Spring Boot REST APIs with JWT validation, method-level authorization, input validation, rate limiting, CORS, secure logging, and more.
Learn how to choose the right API testing framework, including REST Assured, Supertest, pytest, Postman, Karate, and Keploy, for better API test automation.
React 19's compiler eliminated most of my useMemo and useCallback code. Table virtualization, optimistic updates, and route splitting still need manual attention.
Agentic AI doesn’t replace traditional automation. It uses existing workflows, APIs, and systems as tools while handling decisions, exceptions, and complex tasks.
AI coding assistants are deeply fluent in current Spring conventions, which raises a real question: does that lock architecture into 2020-era patterns? It turns out, no.
The latest MCP updates introduce security risks like protocol confusion. Quarkus mitigates these vectors using strict request filtering and enterprise security layers.
CI optimization using Git diff and JGit to selectively run impacted Karate tests, reducing regression execution while preserving safe fallback coverage.
The future of AI agents is searchable tool discovery, not hardcoded APIs. MCP and semantic search are turning tools into capabilities agents can find and use at runtime.
Why enterprise agent security requires decoupling the tool layer from the sandbox layer, and how the helmdeck + NVIDIA OpenShell architecture enforces it.
Building a dynamic API translation proxy that leverages Java 21 Virtual Threads and Redisson distributed locking to safely execute AI-driven schema mapping.
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