Java Collections components (such as Map, List, Set) are used in our applications. When their keys are not properly handled, it will result in a memory leak.
Exemplifies how a dedicated MCP server that is able to access databases can enable LLMs to inspect them and offer their users useful pieces of information.
AI is transforming software development in Part 2 of my 'Vibe Coding' series. Explore conversational coding, code generation in practice, and developer productivity.
AI workloads need reliable hardware. Cloud providers are developing intelligent diagnostics to predict, detect, and resolve GPU and server failures efficiently.
AI is reshaping malware and ransomware detection in cloud environments. It reviews core detection models, highlights technical challenges, and discusses future directions
Turn your local LLM (Llama 3 + Ollama on Ubuntu) into a private finance analyzer that categorizes spending and generates insights—no cloud, full privacy.
Technical debt hampers growth and innovation. Smart AI integration in SaaS helps reduce it by improving code quality, scalability, and proactive maintenance.
Jarvis-like AI agents are becoming real. As someone building them at Alexa, I see Agentic AI handling tasks, making decisions, and more, reshaping how we live and work.
Po learns how fixed structure with flexible ingredients makes the perfect noodle soup and Java code through the Template Method pattern in both OOP and functional styles.
Model accuracy means nothing if data breaks in production. Learn how data contracts ensure reliability, prevent silent failures, and protect ML performance.
Master AI development with LangChain tools. Build, prototype and monitor LLM apps using LangChain, LangGraph, LangFlow and LangSmith diagrams included.
Build a voice-enabled AI nutrition coach using GPT-4, Gradio, and gTTS. This beginner-friendly tutorial walks you through every step, from setup to deployment.
In the finale of this series, I use the A2A protocol to let my AI agents communicate and delegate tasks—unlocking true collaboration and orchestration.
Discover how Modal enables developers to run scalable Python-based AI and data workloads in the cloud, without managing servers, containers, or GPUs directly.