Prompt-based ETL uses LLMs to convert plain English into validated, schema-aware SQL, automating data transformation and enabling self-serve analytics.
A virtual office assistant that streamlines everyday office duties — drafting emails, summarizing meetings, etc., driven by Generative AI and Firebase.
Trustworthy ML needs more than dashboards — it relies on layered systems with monitoring, testing, and statistical tools to ensure reliable experimentation.
Boilerplate code has always been the background noise of software development. But OpenAI’s Codex is here to handle such tasks with surprising accuracy and speed.
New to vibe coding? In this article, I share the story of how I developed a PC Builder tool using Grok AI in two weeks, along with the lessons I learned.
Learn how to detect, diagnose, and fix flaky tests using AI and open-source tools and boost test reliability without changing your existing QA workflow.
This guide outlines a robust, modular GenAI architecture tailored for FinTech, enabling secure, scalable AI use across credit, fraud, KYC, and compliance domains.
ScopedValue in Java offers safe, immutable context propagation with clear scoping and minimal overhead—ideal for structured concurrency and virtual threads.
DSPy improves AI development by replacing prompt engineering with patterns. This guide explores how DSPy's features enable language model applications.
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.
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