Stay updated with the latest in AI tooling. Here are the top picks for today, curated and summarized by HappyMonkey AI.


Better tools made Copilot code review worse. Here’s how we actually improved it.

Share: Give an agent better tools and it should do better work.. When you open a pull request, Copilot code review reads the diff and explores the surrounding code to find the problems that matter before they ship.. To do that, it used its own code exploration tools.. So when…

Why it matters: Potentially relevant AI tooling update — review for integration potential.


Fine-tune NVIDIA Nemotron 3 models with Amazon SageMaker AI serverless model customization

Artificial Intelligence Fine-tune NVIDIA Nemotron 3 models with Amazon SageMaker AI serverless model customization Model customization transforms general-purpose AI models into specialized enterprise assets.. By fine-tuning foundation models (FMs) on domain-specific data,…

Why it matters: Potentially relevant AI tooling update — review for integration potential.


Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore

Artificial Intelligence Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore In this post we show how to build a semantic layer on AWS using Stardog’s Semantic AI Application over Amazon Aurora and Amazon Redshift, and how to run a Strands…

Why it matters: Potentially relevant AI tooling update — review for integration potential.


Scaling agentic workflows with native case management in Amazon Quick Automate

Artificial Intelligence Scaling agentic workflows with native case management in Amazon Quick Automate An artificial intelligence (AI) agent can process an invoice, help adjudicate a claim, or classify a support ticket in a proof of concept.. But running these agents across…

Why it matters: Potentially relevant AI tooling update — review for integration potential.


Deploying quantized models on Amazon SageMaker AI with Unsloth

Artificial Intelligence Deploying quantized models on Amazon SageMaker AI with Unsloth This post was co-written with Daniel Han and Michael Han from Unsloth.. Deploying large foundation models (FMs) stored at their original 16-bit floating-point precision (BF16 or FP16) is…

Why it matters: Potentially relevant AI tooling update — review for integration potential.


How KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCore

Artificial Intelligence How KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCore In this post, learn how KTern.AI , an SAP digital transformation platform, used Amazon Bedrock AgentCore to build and deploy AI agents ready for enterprise-scale SAP transformation…

Why it matters: Potentially relevant AI tooling update — review for integration potential.


Real-time dental image verification with Amazon SageMaker AI at Henry Schein One

Artificial Intelligence Real-time dental image verification with Amazon SageMaker AI at Henry Schein One In dentistry, image quality determines whether a claim is paid or denied.. Up to 20 percent insurance claims are initially denied, with missing or low-quality images among…

Why it matters: Potentially relevant AI tooling update — review for integration potential.


Disaggregated prefill and decode for LLM inference on SageMaker HyperPod

Artificial Intelligence Disaggregated prefill and decode for LLM inference on SageMaker HyperPod When prefill and decode share a GPU, long prompts stall token generation for every concurrent request.. Disaggregated Prefill and Decode (DPD) removes this interference by running…

Why it matters: Potentially relevant AI tooling update — review for integration potential.


Build a unified semantic layer across datasets with multi-dataset Topics in Amazon Quick

Artificial Intelligence Build a unified semantic layer across datasets with multi-dataset Topics in Amazon Quick Amazon Quick is an AI-powered unified intelligence service that connects structured data and unstructured enterprise content so teams can explore, analyze, and act…

Why it matters: Potentially relevant AI tooling update — review for integration potential.


Introducing Claude apps gateway for AWS

Artificial Intelligence Introducing Claude apps gateway for AWS Enterprises deploying Claude Code and Claude Desktop across development teams need centralized control over access, cost, and policy.. At scale, this is hard to manage: each developer needs an individual…

Why it matters: Potentially relevant AI tooling update — review for integration potential.


Powering scientific discovery: BYOKG and GraphRAG for intelligent pharmaceutical research

Artificial Intelligence Powering scientific discovery: BYOKG and GraphRAG for intelligent pharmaceutical research In pharmaceutical research, scientists face a fundamental challenge: accessing and connecting the vast amount of scientific knowledge scattered across disparate…

Why it matters: Potentially relevant AI tooling update — review for integration potential.


Enrich your datasets with business context: Migrating from legacy Topics to semantic datasets in Amazon Quick

Artificial Intelligence Enrich your datasets with business context: Migrating from legacy Topics to semantic datasets in Amazon Quick If you’ve been managing Amazon Quick legacy Topics alongside your datasets, you know the challenge: two assets that must stay perfectly…

Why it matters: Potentially relevant AI tooling update — review for integration potential.