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ExternalSoftware Engineering
DZone

Production-Grade RAG: Why Vector Search Isn't Enough (and How Hybrid Search Fills the Gaps)

Imagine your team just deployed a sleek RAG-based docs assistant for the SaaS platform you develop. In testing, it worked flawlessly. It knows your functionality and answers questions in three perfectly written paragraphs with no hallucinations. But two days after launch, a senior dev pokes you on Slack: "Hey man, the AI bot can't find anything on PX-9000-v2 configuration errors." You check the logs. The user queried the exact error code. Vector search, optimized for semantic meaning, returned d

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ExternalCybersecurity
SecurityWeek

Everybody Is Vibe Coding But Nobody Told the Security Team

AI-driven development is not something organizations can or should block. But it must be governed. The post Everybody Is Vibe Coding But Nobody Told the Security Team appeared first on SecurityWeek.

Artificial IntelligenceVulnerabilitiesAI
SecurityWeekRead original
ExternalSoftware Engineering
DZone

How to Interpret the Number of Spring ApplicationContexts in Integration Tests

When optimizing Spring Boot integration tests, developers often focus on obvious metrics: total build time, test execution time, CPU usage, memory consumption, or the number of failed tests. These metrics are useful, but they do not always explain why an integration test suite is slow.  One of the most important hidden metrics in Spring Boot integration testing is the number of distinct ApplicationContext instances created during the test run, check out my other article.   Spring’s TestContext f

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