61 articles tagged with “developer-tools”.
AWS describes how to run multi-node LLM inference on Amazon EKS using pre-built Ray LLM Deep Learning Containers, splitting prefill and decode across two GPU nodes behind one OpenAI-compatible endpoint.
NVIDIA describes how developers combine frontier AI models with Omniverse libraries to assemble, connect and verify simulation applications, directing AI agents through the process.
SpaceXAI is backing Omarchy, the Linux distro overseen by the Omacom Foundation, with $1.5 million in Grok tokens aimed at accelerating development and bug fixes.
Microsoft's Surface RTX Spark Dev Box is up for preorder at roughly $6,000, shipping in November, powered by Nvidia's Arm-based RTX Spark platform with 128GB of unified memory.
Microsoft Research released Agent Lightning v1.0, a lightweight framework that links existing AI agents to reinforcement learning training without requiring them to be rebuilt.
An AWS tutorial explains how to build a personal AI assistant that retains context across conversations using OpenClaw on Amazon Bedrock AgentCore and its memory feature.
SageMaker Studio now supports creating, starting, stopping, and opening SageMaker Spaces on HyperPod EKS clusters, letting users launch JupyterLab and Code Editor without command-line tools.
AWS introduces the aws-ai-ml skill through the Agent Toolkit for AWS, enabling coding agents like Kiro, Claude Code, and Codex to generate SageMaker code for inference optimization and benchmarking.
Meta has introduced an enterprise AI platform offering tools such as Muse, Meta Business Agent, Muse API, and Muse Code to businesses and developers, and appointed MongoDB's CEO to lead the effort.
AWS walks through deploying the Qwen3-TTS model on SageMaker AI using the vLLM-Omni Deep Learning Container, streaming generated speech over a persistent bidirectional connection via a Gradio application.
AWS explains how to deploy the WhisperX Deep Learning Container on Amazon SageMaker AI real-time and asynchronous endpoints for word-level, speaker-labeled transcription.
NVIDIA has released Isaac ROS 5.0, a set of GPU-accelerated packages built on the ROS open framework to support robotics applications that perceive, reason, and act.
Posit's Positron IDE now runs on Amazon SageMaker AI, enabling data scientists to explore data, train models in R and Python, deploy endpoints, and report results in one governed environment.
A tutorial for building a fully serverless pipeline that gathers Git metrics from GitHub and GitLab and displays near-real-time delivery analytics in Amazon QuickSight dashboards at low cost.
Meta introduced a WhatsApp Business MCP server enabling developers to use AI coding agents to handle setup, messaging templates, testing, and troubleshooting.
Amazon Bedrock AgentCore Identity introduces a Consent portal, a managed web experience for handling end-user OAuth consent for AI agents, with session binding for AgentCore Gateway.
AWS explains how to build and deploy MCP Apps with interactive HTML widgets on Amazon Bedrock AgentCore, using a host-agnostic standard that works across compatible AI hosts.
Amazon SageMaker Feature Store introduced the UpdateRecord API, enabling updates to one or more feature values in a single call without reading or rewriting the full record.
AWS extends MLflow and SageMaker AI Model Registry sync to two cross-account governance patterns: a hub-and-spoke model centralized with AWS RAM and a hybrid model that isolates development accounts.
Microsoft has named its developer-focused Windows experience Project Zenith, built for new devices with 64GB or more of unified memory and preconfigured for local AI model work.
Google released Gemini 3.8 Flash weeks after 3.7 Flash, claiming it 'works harder' with more reasoning and iterative tool calls, though higher token use could raise costs.
An AWS tutorial covers deploying and hosting an MCP server in AgentCore Runtime and integrating it with Amazon Quick to enable reusable AI tools and agents.
AWS has made its Agent Registry generally available, providing a single governed catalog for managing agents, tools, and skills across an organization with publishing, curation, and discovery workflows.
The latest version of Gemini Omni, 1.1 Flash, introduces features that provide developers with greater control in their building processes.
Amazon OpenSearch Service now supports MCP Apps, enabling AI agents to move from alert to root cause in one conversation while returning interactive visualizations inline.
AWS walks through building a no-code fraud detection model by connecting SageMaker Canvas to Snowflake and training XGBoost without writing ML code.
The introduction of LFM2.5-DSpark enhances inference speed by up to 3.2 times, benefiting developers in AI.
An AWS blog post describes three serverless patterns for asynchronously calling Amazon Bedrock AgentCore agents from AWS Step Functions pipelines to avoid idle compute costs.
Replit has introduced Free Mode, powered by GPT-5.6 Luna, aimed at letting anyone create working software without worrying about token costs.
Cursor, known for its AI Code Editor, is launching a new code-hosting platform positioned as a rival to GitHub.
Sheets canvas enables users to create interactive dashboards, study trackers, and seating charts from spreadsheet data using easy prompts.
AWS details how Amazon Bedrock AgentCore Observability can track AI agents running outside AWS, routing traces, span metrics, and token usage to one dashboard.
NVIDIA is spotlighting open source communities and partners advancing local AI, alongside its latest open models, software and tools for building and running agents on-device.
AWS describes how the SageMaker AI Spaces add-on for Amazon EKS runs managed JupyterLab and Code Editor environments on an existing cluster, with browser and VS Code access.
Cloudflare has introduced Kitesurf, a cloud-hosted browser designed for AI agents rather than human users, aimed at helping developers build browser-based automation more efficiently.
AWS details a secure MCP bridge that connects a cloud-hosted Bedrock AgentCore agent to local MCP servers by tunneling signed messages over an existing WebSocket connection.
Amazon Bedrock AgentCore harness is generally available and can be added as an agent step in n8n workflows through a new open-source community node.
AWS is enabling the vibe-coding tool Superblocks to be embedded into the private clouds of AWS customers, described as a step toward decoupling apps from models.
An AWS guide covering Private Key JWT client authentication in Amazon Bedrock AgentCore Identity, including supported grant flows and setup steps for signing keys and credential providers.
The Model Context Protocol released its 2026-07-28 spec, its largest revision yet, and AWS details how to enable it on AgentCore Gateway via a single UpdateGateway call.
Runway has introduced the Media Router, which automatically picks the best generative model for image, video, or audio requests depending on whether a developer prioritizes quality, speed, or cost.
An AWS tutorial explains building multi-Region carrier performance dashboards in Amazon QuickSight with Highcharts custom visualizations while maintaining data sovereignty across Regions.
An important AI protocol is being updated to use a stateless approach to session IDs on the server side, resembling how most ordinary websites function.
Hugging Face has launched Cosmos 3 Edge, a new tool aimed at developers to enhance AI model development and deployment on edge devices.
AI code review is genuinely useful and consistently oversold. The split is clean: it is good at local, mechanical defects and bad at whether the change should exist at all.
AWS describes a Computer Vision MCP Server built with Amazon Bedrock, offering a standardized interface for AI systems to process visual information and make decisions.
AWS presents a solution for centralized monitoring of SageMaker Pipelines across AWS accounts and Regions using CloudWatch custom dashboards, backed by a CDK example on GitHub.
MCP is the USB-C of AI integrations: one open standard so any assistant can talk to any tool. Here is how it works, why it won, and what to watch out for.
Part 2 of an AWS series demonstrates how QA Studio extends Amazon Nova Act to handle batch regression testing and CI/CD pipeline integration via test suites and a command-line interface.
An AWS blog post outlines a cloud-based UX testing platform that uses Amazon Nova Act to auto-generate test scenarios from documentation and run user flows in parallel at scale.
AWS has launched a UI in Amazon SageMaker AI Studio that guides users to optimized generative AI inference configurations without deep infrastructure expertise.
A vector database stores embeddings and finds the most similar ones fast. Here is what it actually does, how nearest-neighbor search works, and when you need one versus a simpler option.
The hot skill in AI has moved from writing a good prompt to designing the loop that prompts the agent for you. Here is what loop engineering means, why it emerged in 2026, and how to do it well.
Designing a RAG system is mostly a search problem with a language model bolted on the end. Here is how the pieces fit together in production — and the design choices that decide whether it works.
An AWS blog post explains four deployment patterns for serving Unsloth-quantized models on AWS infrastructure, covering EC2, SageMaker AI endpoints, EKS, and ECS.
This blog post addresses common mistakes in MCP tool design and offers practical strategies for effective context engineering.
GitHub Copilot brought AI code completion to millions of developers inside their editors. Here is what it does well, where it needs supervision, and how it fits a modern workflow.
Cursor rethinks the code editor around AI rather than bolting AI onto one. With codebase-aware chat and multi-file edits, it pushed the 'AI-native IDE' idea into the mainstream.
Transformers is the open-source Python library that made state-of-the-art AI models accessible to everyone. Here is what it does, who should use it, and where it fits in a modern AI stack.
Ollama turned 'running an LLM locally' from a weekend project into a single command. Here is what it does well, where it hits limits, and when local models beat cloud APIs.
LangChain is the open-source framework that popularized chaining LLM calls, retrieval, and tools into full applications. Here is what it offers, and the trade-offs to weigh before building on it.