The OWASP Agentic AI Top 10 series concludes with a security playbook for AWS, detailing six concentric rings of defense and a comprehensive checklist for each threat. The playbook emphasizes three co…
A developer built WearCast, an AI agent that helps users pick outfits based on weather, to demonstrate AgentCore's built-in WebSocket support that allows a browser to connect directly to an AI agent w…
A developer built Scoring AI, a real-time voice-enabled sports scoring application using WebSockets and DynamoDB Streams. The system uses DynamoDB for live match state with optimistic locking and Post…
A developer designed and open-sourced an Enterprise Refund AI Assistant on AWS, using a serverless Retrieval-Augmented Generation (RAG) architecture to ground LLM outputs in verified enterprise docume…
A developer built Madame Minou, a French cat astrologer app, using Kiro and Amazon Bedrock during a Paris hackathon. The app computes a cat's sun sign deterministically in code, then uses AI to genera…
AWS veteran and DynamoDB, Lambda, and API Gateway builder Randall Hunt reflects on 20 years of making developers' lives easier, now applying lessons to agentic AI. He advocates spec-driven development…
AWS launched Blocks, an open-source TypeScript framework in public preview, designed for AI agents to build backends with local-first development and zero-infrastructure-code deployment to AWS service…
A developer built an autonomous incident investigation agent called FRIDAY that reduced mean time to resolution by 65% on a platform serving 30+ million end users. The agent, triggered by PagerDuty al…
An unemployed software engineer has begun building Wardu, a Kubernetes-native scheduler that allows running workers as containers in any language without requiring SDKs. The project accepts JSON paylo…
A developer built an AWS Bedrock AgentCore agent that autonomously pays for paywalled API calls using real USDC on Arbitrum One, bypassing the need for API keys or human approval. When the agent recei…
Developers should deploy a simple five-step backend loop—receive message, check user identity, call AI provider, save result, return response—rather than overbuilding AI applications with complex feat…
Developers who use AI tools to rapidly build applications often end up with a live URL but lack true ownership of their code. Without the ability to move, debug, or explain the stack, the application …
The article presents a system design problem where a mobile app directly communicates with three backend services, with a fourth one approaching, causing integration complexity and tight coupling. It …