Amazon Bedrock Reviews and Details

Social recommendations and mentions

• AIP-C01 last-minute revision: exam traps, memory hooks, and quick notes

  Foundation Models (FMs): Large pre-trained transformer models available via Amazon Bedrock: AWS Nova, Claude (Anthropic), Llama (Meta), Amazon Titan (text, embeddings, image), Jurassic-2 (AI21 Labs), Stable Diffusion (Stability AI). Select FMs based on task, latency, cost, and token limits. - Source: dev.to / 3 months ago

• The Abstraction of Cloud Engineering: How AI Agents Are Redefining Enterprise Architecture

  Amazon Bedrock Https://aws.amazon.com/bedrock. - Source: dev.to / 3 months ago

• Resurface Claude Code Usage Across Your Team with CloudWatch OTEL (No Lambda)

  "But we already have an LLM gateway." If your team routes AI traffic through a gateway like LiteLLM or AWS Bedrock, you already have token-level usage data. But if your engineers are on coding plans — Claude Team/Max, OpenCode Go, GitHub Copilot seats, ChatGPT Codex — the LLM calls bypass your gateway entirely. You lose visibility into the interesting stuff: how many tool calls per session, prompt sizes, which... - Source: dev.to / 4 months ago

• Why AWS Certified GenAI Developer stands apart from other AWS certs

  To understand why this certification matters, it helps to look at how we got here. About three years ago, when ChatGPT/OpenAI took the world by storm with the GenAI and LLM revolution, we saw AWS flagbearer GenAI service Amazon Bedrock being used primarily for setting up chatbots, statbots, and AI assistants with Retrieval Augmented Generation (RAG) enabled and basic agentic setups. Those were small-scale and... - Source: dev.to / 4 months ago

• 5 Techniques to Stop AI Agent Hallucinations in Production

  OpenAI API key — the agent uses GPT-4o-mini as the LLM (Large Language Model) provider, swappable for Amazon Bedrock or other providers. - Source: dev.to / 4 months ago

• Fine-Tuning 14B SLMs for 3GPP Root Cause Analysis on Amazon SageMaker

  Synthetic data works for bootstrapping — Bedrock-generated 3GPP logs provide a viable starting point. Real operator data would be the next step for production validation. - Source: dev.to / 5 months ago

• Building AI Agents with Strands Agents: My Hands-On Experience from the AWS BeSA Workshop

  One of the biggest advantages of the Strands SDK is model portability. Thanks to its provider abstraction layer, switching between models is very simple. For example, you can move from Claude on Amazon Bedrock to Llama running locally on Ollama with only a small code change. This flexibility allows developers to run agents in the cloud or locally depending on needs such as privacy, offline usage, or cost-efficient... - Source: dev.to / 5 months ago

• 🎵 On the 12 Days of Christmas, Amazon Developer gave to me... 🎄

  Ever wondered what powers the AI behind Prime Video & Amazon MGM Studios's personalized recaps, Ring's smart video search or Alexa+'s conversational intelligence? Meet Amazon Bedrock. - Source: dev.to / 7 months ago

• Using Amazon Bedrock with AWS Free Tier for the 10,000 AIdeas Competition 🛠️

  Well I have some good news for you builders: Alongside the new AWS Free Tier, if you want to inject large language models (LLMs) into your application and take advatange of state of the art frontier models from folks like Anthropic, Meta, Amazon and others, Amazon Bedrock will be your best friend. With the new AWS Free Tier you've got some runway to build without worrying about surprise bills. Let's walk through... - Source: dev.to / 7 months ago

• Introduction to AWS AI Concepts: A Beginner's Guide

  Generating text, images, or code from prompts using Amazon Bedrock or Amazon Q. - Source: dev.to / 7 months ago

• Building a Custom AI Code Reviewer for GitHub Enterprise with Bedrock and Go

  Let's talk money. The naive approach of sending 150k input tokens plus ~5k output tokens to Claude Haiku 4.5 via Bedrock would cost roughly $0.18-0.20 per review (based on direct API pricing of $1/$5 per million input/output tokens—Bedrock pricing may vary). With the two-phase approach and Repomix's exclusion filtering, I'm averaging 8k input tokens and ~2.5k output tokens per review—about $0.02 per review. At 50... - Source: dev.to / 8 months ago

• Building a Semantic Storage for Humans and AI Agents

  This week at AWS re:Invent 2025, Amazon S3 Vectors reached general availability, bringing purpose-built vector storage directly into object storage. S3 Vectors now supports up to 2 billion vectors per index (40x the preview capacity), delivers query latencies around 100ms for frequent queries, and integrates with Amazon Bedrock Knowledge Bases and Amazon OpenSearch Service. About a month earlier, Amazon Nova... - Source: dev.to / 8 months ago

• A Different Way to Think About Deploying Containers to the Cloud

  Beyond all that, our tooling comes with features that machine‑learning and AI developers might appreciate. For example, it offers easy integration with AWS Bedrock and Google Vertex AI, streamlining workflows that rely on those services. - Source: dev.to / 9 months ago

• A Practical Guide to Building AI Agents With Java and Spring AI - Part 1 - Create an AI Agent

  Spring AI makes this integration seamless by providing a unified framework for building AI-powered applications with Java. Combined with Amazon Bedrock, developers can create sophisticated AI agents that leverage state-of-the-art foundation models without managing complex infrastructure. - Source: dev.to / 9 months ago

• Top 7 Metrics to Monitor for AI Observability and Performance

  How to measure: Combine LLM-as-a-judge evaluators with deterministic rules and human review. Align with guardrail frameworks; AWS outlines guardrails for Bedrock in their service docs and best practices. In Maxim, define custom evaluators at session/trace/span levels and log violations for real-time alerting in Agent Observability. - Source: dev.to / 9 months ago

• Building a HIPAA-Compliant Chatbot with AWS Lambda & Bedrock

  So I decided to build a HIPAA-friendly chatbot using AWS Lambda (serverless backend) and Amazon Bedrock (LLM service) — with data masking to keep sensitive info safe. - Source: dev.to / 11 months ago

• Agentic AI Observability with Amazon CloudWatch: Transforming Enterprise AI Monitoring

  In the rapidly evolving landscape of autonomous AI agents, traditional application monitoring approaches are no longer sufficient. These AI systems exhibit dynamic reasoning, autonomous decision-making, and complex multi-step interactions, creating unprecedented observability challenges. Amazon Web Services (AWS) responds to this paradigm shift through offerings such as https://aws.amazon.com/cloudwatch/ and... - Source: dev.to / 11 months ago

• Show HN: Selling numbered rocks, you get whatever's next in sequence

  Thanks for asking, we're using AWS Bedrock to handle all that https://aws.amazon.com/bedrock/. - Source: Hacker News / 11 months ago

• LangChain4j in Action: Building an AI Assistant in Java

  On the other hand, platforms like Azure AI Foundry, AWS Bedrock, or Vertex AI offer more complete and managed solutions. They take care of most of the heavy lifting like scaling, integrations, and evaluation, and they also include a solid security and governance layer. These platforms are very mature and production-ready. Microsoft, for example, already provides a responsible AI framework out of the box. These... - Source: dev.to / 11 months ago

• Token Counting Meets Amazon Bedrock

  When working with large language models through Amazon Bedrock, understanding token consumption can help managing costs and staying within model limits. While the Bedrock console provides token counts after each API call, developers need a way to measure tokens before sending requests, especially when building applications that process large volumes of text or require precise truncation. - Source: dev.to / 11 months ago

• SDLC and AI

  Amazon Bedrock for most of your AWS hosted solutions you want to use GenAI with. - Source: dev.to / 11 months ago