Jan 26 · 1 min read · I recently worked on a setup where Amazon Bedrock powers AI-driven blog creation, while API Gateway and AWS Lambda handle the orchestration. The generated content is seamlessly stored in Amazon S3, making the workflow fully serverless, scalable, and ...
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Jan 19 · 5 min read · You're sitting in a sprint planning meeting and someone says, "hey, what if we add AI to our customer support?" And your first thought is probably... "oh no." Because you've heard the stories. Training models. Managing GPUs. Hiring ML engineers. Spen...
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Jan 17 · 3 min read · TL;DR Amazon Bedrock AgentCore is AWS’s production layer for “bring your own agent”. You keep your preferred agent framework and models, while AWS provides secure, serverless hosting, networking, scaling, and observability. Kiro complements AgentCo...
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Jan 15 · 5 min read · TL;DR for decision-makers AWS Bedrock optimises for speed. Self-hosted LLMs optimise for control. Most teams fail because they optimise neither deliberately. For most engineering leaders, the question is no longer whether to use large language model...
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Dec 29, 2025 · 3 min read · 📝 Quick Summary: The Bedrock AgentCore SDK for Python allows developers to deploy their existing AI agents, built with any framework, onto AWS Bedrock AgentCore with zero infrastructure management. It provides an enterprise-grade platform with built...
Join discussionDec 20, 2025 · 4 min read · In this post I will explain how to create an S3 Vector Index and use it in an Amazon Bedrock Knowledge Base and ultimately in your AI agent in Bedrock, all this using AWS CDK in python. Previous posts I previously described how to create a Restaurant...
Join discussionDec 5, 2025 · 2 min read · AWS Bedrock AgentCore lets you deploy agents as managed containerized runtimes. This guide shows how to automate this deployment using Pulumi and Docker. What You'll Deploy Docker container with your agent code Amazon ECR to store the image Bedroc...
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Nov 26, 2025 · 4 min read · Large Language Models (LLMs) are now integral to modern software applications, powering tasks such as summarization, code generation, and technical explanations. When evaluating multiple LLM APIs, latency, response quality, and consistency are critic...
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Nov 25, 2025 · 5 min read · AI is everywhere now - in chatbots, apps, websites, and even the tools we use at work. But building AI yourself can feel complicated… right? That’s where Amazon Bedrock comes in. It’s an AWS service that makes Generative AI super easy for developers,...
Join discussionNov 14, 2025 · 10 min read · Introducción En este artículo te mostraré cómo construir un microservicio de IA generativa desde cero usando Java 21, Quarkus 3, y AWS Bedrock. A diferencia de otras soluciones que usan abstracciones como LangChain4j, aquí usaremos el AWS SDK directa...
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