AI coding is quietly building a “shadow SDLC” inside your organization, spinning up code, dependencies, configs, but requires solid best practices to prevent disaster.
The new agent mode in VS Code appears to be a disruption at first glance. Let's dive a bit deeper from an architect's perspective — from architecture to build.
Build an application for natural-language questions that an LLM converts to a Cypher query, runs against the database, and returns the query and the results.
Apache Software Foundation participants shared observations from FOSDEM 25 to showcase some of the work that community members do for open-source software development.
Graph RAG combines knowledge graphs with LLMs to structure text into entities and relationships, enabling explainable reasoning and more accurate insights.
AI can accelerate development, but without guidance, it risks deepening architectural debt — with solid context and prompts, it can help strengthen architecture.
Learn about multi-agent (multi-function) orchestration with AWS step functions, which helps to orchestrate the different functionalities to work as a task.
The article explores how AI agents can automate insight generation, assist teams in root cause analysis, and outline a scalable agentic AI architecture for enterprises.
In this article, you will learn about how geometric deep learning extends AI to analyze complex non-Euclidean data like molecules, 3D models, and networks.
This article introduces HashiCorp Consul, a service registry and discovery tool that integrates well with Spring Boot and supports reactive programming.