This is a review of the best AI tools for developers, such as GitHub Copilot, Cursor, Cody, Aider, and Windsurf for software development, and improved performance.
AI and deepfakes are making phishing attacks harder to detect. Learn in this article how developers and IT teams can protect against these modern threats.
OpenSearch 3.0 marks a pivotal shift toward a more scalable, flexible, and future-ready open source engine. Here's what you need to know about the project.
Explore the possibilities of building custom RAG applications for greater control and flexibility with Vertex AI APIs, vector stores, and LangChain frameworks.
Learn why data integrity is essential for trustworthy AI, how poor data leads to failures and how modern QA methods like predictive checks improve reliability.
Learn the best practices for building MCP Servers and use them to power your LLM-powered applications. Make sure your setup has isolation and is secure.
A step-by-step guide to building a complete retrieval-augmented generation (RAG) application with FAISS, LangChain, and Streamlit that runs 100% locally.
Learn how to build a simple, production-ready AI agent using Microsoft’s Semantic Kernel, covering kernels, plugins, agents, observability, and scalability.
Build a semantic code search that understands meaning, not keywords, with AST parsing, embeddings, hybrid search, and LLM-powered documentation generation.
Test POST requests with REST Assured for API testing with this step-by-step guide for software test automation engineers, designed to build reliable API tests.
CORE
