36 articles tagged with “developer-tools”.
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.