Explores the integration of Java with Generative AI and Large Language Models (LLMs) for building innovative applications like AI chatbots.
Summary of a panel discussion at NVIDIA GTC 2025 on insights and lessons learned from building real-world LLM-powered applications.
AWS Developer Day 2025 recordings showcase how generative AI is transforming software development, featuring sessions on tools, productivity, and skills.
A free, interactive course on GitHub teaching Generative AI concepts using JavaScript through a creative time-travel adventure narrative.
Amazon Q Developer now supports upgrading Java applications to Java 21, automating the migration process with AI assistance.
A technical guide on creating custom evaluators for Generative AI applications using the Azure AI Evaluation SDK and Azure AI Foundry.
AWS Developer Day 2025 highlights how generative AI tools from AWS are transforming and accelerating software development in the cloud.
Argues that generative AI creates wasteful communication and advocates for concise, human-driven interactions instead.
A guide to common mistakes developers make when building applications with generative AI, including overuse and poor UX integration.
A recap of AWS re:Invent 2024 Day 3, covering sessions on advanced DynamoDB data modeling and key AI/Data announcements from Amazon Bedrock.
A recap of AWS re:Invent 2024 Day 2, covering the CEO keynote, new AI/cloud service announcements, and technical sessions on serverless and SQS.
Highlights key announcements and innovations from the AWS re:Invent 2024 conference, covering new services and updates across AI, containers, and integration.
A developer discusses why reading code is difficult and offers practical tips to improve this essential skill, especially in the age of AI.
AWS Lambda's new code editor features an improved Amazon Q Developer AI assistant for generating and debugging Lambda functions with better in-line code previews.
Explores using the RAG pattern with Azure Cosmos DB and Azure AI tools to enhance generative AI application performance and cost efficiency.
A guide on transitioning Generative AI applications from proof-of-concept to production, covering architecture, security, and operations.
An overview of Azure AI Foundry, a unified platform for building and deploying AI solutions on Microsoft Azure, covering its features and benefits.
Explores the common architectural components and implementation steps for building a scalable generative AI platform, from basic models to complex systems.
An AWS expert critiques AWS's overwhelming focus on Generative AI, arguing it neglects core cloud services and alienates traditional cloud engineers.
A guide to simplifying LLM evaluation workflows using clear metrics, chain-of-thought, and few-shot prompts, inspired by real-world examples.
