Deploying applications to AWS typically involves researching service options, estimating costs, and writing infrastructure-as-code tasks that can slow down development workflows. Agent plugins extend coding agents with specialized skills, enabling them to handle these AWS-specific tasks directly within your development environment.

Today, we’re announcing Agent Plugins for AWS (Agent Plugins), an open source repository of agent plugins that provide coding agents with the agent skills to architect, deploy, and operate on AWS.

Today’s launch includes an initial deploy-on-aws agent plugin, which lets developers enter deploy to AWS and have their coding agent generate AWS architecture recommendations, AWS service cost estimates, and AWS infrastructure-as-code to deploy the application to AWS. We will add additional agent skills and agent plugins in the coming weeks.

Agent plugins are currently supported in Claude Code and Cursor (announced February 17). In this post, we’ll show you how to get started with Agent Plugins for AWS, explore the deploy-on-aws plugin in detail, and demonstrate how it transforms the deployment experience from hours of configuration to a simple conversation.

Why agent plugins

AI coding agents are increasingly used in software development, helping developers write, review, and deploy code more efficiently. Agent skills and the broader agent plugin packaging model are emerging as best practices for steering coding agents toward reliable outcomes without bloating model context. Instead of repeatedly pasting long AWS guidance into prompts, developers can now encode that guidance as reusable, versioned capabilities that agents invoke when relevant. This improves determinism, reduces context overhead, and makes agent behavior easier to standardize across teams. Agent plugins act as containers that package different types of expertise artifacts together. A single agent plugin can include:

• Agent skills – Structured workflows and best-practice playbooks that guide AI through complex tasks like deployment, code review, or architecture planning. Agent skills encode domain expertise as step-by-step processes.
• MCP servers – Connections to external services, data sources, and APIs. MCP servers give your assistant access to live documentation, pricing data, and other resources at runtime. Learn more about AWS MCP servers.
• Hooks – Automation and guardrails that run on developer actions. Hooks can validate changes, enforce standards, or trigger workflows automatically.
• References – Documentation, configuration defaults, and knowledge that the agent skill can consult. References make agent skills smarter without bloating the prompt.

As new types of expertise artifacts emerge in this space, they can be packaged into agent plugins, making the evolution transparent to developers.

The deploy-on-aws plugin

The initial release includes the deploy-on-aws plugin, which gives coding agents the knowledge to deploy applications to AWS with architecture recommendations, cost estimates, and infrastructure-as-code generation.

The agent plugin provides AI coding agents with a structured workflow:

1. Analyze – Scan your codebase for framework, database, and dependencies.
2. Recommend – Select optimal AWS services with concise rationale.
3. Estimate – Show projected monthly cost before committing.
4. Generate – Write CDK or CloudFormation infrastructure code.
5. Deploy – Execute your confirmation.

The initial plugin uses three MCP servers for AWS to provide comprehensive guidance:

Agent plugins for AWS in action

Here’s how Agent plugins for AWS transform the software development experience:

A full-stack developer has built an Express.js REST API on their local machine. The application connects to a PostgreSQL database and serves a React frontend. The developer is ready to deploy to AWS but isn’t sure about the best architecture.

Using Cursor or Claude Code with the deploy-on-aws plugin installed, the developer enters:

Deploy this Express app to AWS

The plugin immediately springs into action:

Step 1: Analyze – The agent scans the codebase and identifies:

• Express.js framework (Node.js 20.x)
• PostgreSQL database dependency
• Static React build in /public
• Environment variables for database connection
• Current traffic: ~1000 requests/day expected

Step 2: Recommend – Based on the analysis, the agent recommends:

• AWS App Runner for the Express.js backend (auto-scaling, managed container service)
• Amazon RDS PostgreSQL for the database (managed, automated backups)
• Amazon CloudFront + S3 for the React frontend (global CDN, cost-effective static hosting)
• AWS Secrets Manager for database credentials

Step 3: Estimate – The agent provides a cost estimate using real-time pricing data from the AWS Pricing MCP server, giving you visibility into projected monthly costs before you commit to any infrastructure.

Step 4: Generate The developer reviews the estimate and confirms. The agent generates:

• AWS CDK infrastructure code in TypeScript
• Dockerfile for the Express app
• Database migration scripts
• Environment configuration
• GitHub Actions workflow for CI/CD

Step 5: Deploy The developer reviews the generated code, makes minor adjustments to database schema, and confirms deployment. The agent:

• Provisions all AWS resources via CDK
• Builds and deploys the container to App Runner
• Creates the Amazon RDS database and runs migrations
• Uploads the React build to S3 and configures CloudFront
• Stores credentials in Secrets Manager

Within minutes, the developer’s application is live at a custom App Runner URL, with the React frontend served globally via CloudFront. The agent provides:

• Application URLs (backend and frontend)
• Database connection details
• CloudWatch dashboard links for monitoring
• Cost tracking setup

What would have taken hours of reading documentation, comparing services, and writing infrastructure code took less than 10 minutes with the deploy-on-aws plugin. Developers can now focus on building features instead of wrestling with cloud deployment complexity.

Getting started with Agent Plugins for AWS

Prerequisites

To get started, you need:

• An agent plugin compatible AI coding tool (Claude Code, Cursor, or other compatible tools)
• AWS CLI configured with appropriate credentials

Installation

Claude Code

Add the Agent Plugins for AWS marketplace to Claude Code:/plugin marketplace add awslabs/agent-plugins

Install the deploy-on-aws plugin:

/plugin install deploy-on-aws@awslabs-agent-plugins

Cursor

Cursor announced support for agent plugins on February 17. You can install the deploy-on-aws plugin directly from the Cursor Marketplace, or manually in Cursor by:

1. Open Cursor Settings
2. Navigate to Plugins, and in the search bar type aws
3. Select the plugin you want to install, and Click add to cursor, then select the scope
4. Now the plugin should appear under Plugins, installed

Learn more in the Cursor Marketplace announcement.

Skill triggers

The deploy-on-aws plugin responds to natural language requests like:

• “Deploy to AWS”
• “Host on AWS”
• “Run this on AWS”
• “AWS architecture for this app”
• “Estimate AWS cost”
• “Generate infrastructure”

Best practices for plugin-assisted development

To maximize the benefits of plugin-assisted development while maintaining security and code quality, follow these essential guidelines:

• Always review generated code before deployment (for example, against your constraints for security, cost, resilience)
• Use plugins as accelerators, not replacements for developer judgment and expertise.
• Keep plugins updated to benefit from the latest AWS best practices.
• Follow the principle of least privilege when configuring AWS credentials.
• Run security scanning tools on generated infrastructure code.

Conclusion

In this post, we showed how Agent Plugins for AWS extend coding agents with skills for deploying applications to AWS. Using the deploy-on-aws plugin, you can generate architecture recommendations, cost estimates, and infrastructure-as-code directly from your coding agent.

Beyond deployments, agent plugins can help with other AWS workflows; more agent plugins for AWS are launching soon. You can also use AWS MCP servers to give your coding agent access to specialized tools to build on AWS.

• Visit the Agent Plugins for AWS repository to install and configure your agent plugins
• Install the deploy-on-aws plugin from the Cursor Marketplace and start deploying from your editor

About the authors

See how Telerik UI for WinForms components, like charts, maps, gauges and context menus, can easily compose a security monitoring dashboard.

Omega Security Dashboard

In this post, I will show you the app I built with a modern, responsive security surveillance using Progress Telerik UI for WinForms, demonstrating that desktop applications can have a contemporary appearance and functionality. This platform remains a robust choice for corporate desktop applications, especially for real-time monitoring systems.

The app demonstrates the integration of 10+ Telerik components working together to create a cohesive, professional-grade security monitoring experience. The application features real-time threat visualization on an interactive RadMap with live GreyNoise* API integration, a custom Kanban board for incident management with drag-and-drop functionality, and intelligent AI-powered analysis of network devices using ChatGPT. The system monitors Bluetooth, USB and network devices simultaneously, triggering customizable sound alerts when specific MAC addresses are detected. All of this runs on .NET 10 with C# 14, wrapped in a striking FluentDark theme with neon accents that gives it a true cybersecurity operations center aesthetic.

Solution Explorer

Why WinForms for Monitoring Dashboards?

Before diving into the functionalities, it’s worth questioning: why choose WinForms in 2026? The answer lies in the unique characteristics of this platform:

• Native performance: WinForms applications run directly on the operating system, without the overhead of a browser, resulting in faster screen updates and lower memory consumption.
• Direct access to system resources: For a monitoring system that needs to check USB devices, analyze network traffic and monitor system resources, native Windows access is fundamental.
• 24/7 reliability: Security monitoring systems need to run continuously. WinForms offers proven stability in critical environments where uptime is essential.
• Independence from web infrastructure: WinForms does not require web servers, SSL certificates or complex network configurations. The application simply runs.

Overview of the Omega Surveillance Security System

This app is a base for a professional security dashboard, and I’m using it on my networks to understand what is behind my network, and—this is awesome—I discovered that the iPhone of my partner was linking her name on the network without her knowing it.

It also can be used to detect PCs and Mobiles connected in the network as well Bluetooth devices.

Here is what the monitoring app offers:

1. Network device monitoring: Automatically detects devices connected via Bluetooth, LAN and USB.
2. Security alerts: Triggers sound alarms (MP3, MID or WAV) when a specific MAC address enters the network.
3. AI analysis: Integrates OpenAI ChatGPT for intelligent analysis of captured data.
4. Threat intelligence: Displays the top 10 cities under attack using the GreyNoise* API (when configured).
5. Data export: Saves information in multiple formats (TXT, HTML, PDF, CSV, Excel).
6. Resource monitoring: CPU, RAM, network traffic and disk space in real time.
7. Startup control: AutoStart ON/OFF for automatic execution with Windows.
8. Security Incidents Dashboard: Allows you to register cards with security activities and manage them with a CRUD with status lanes for each incident.

Telerik Components Used

The dashboard uses several components from the Telerik UI for WinForms framework, each chosen for its specific capabilities.

RadGridView Device Listing

The RadGridView is the heart of device monitoring. It displays both network devices, Bluetooth and connected USB devices.

AI Analysis Feature: A distinctive functionality is the ability to analyze grid data using ChatGPT:

The AI can be accessed on right mouse click on the Grid in the option Analyze with AI.

Context Menu

A form with the information about the PC will be sent to be analyzed:

AI Form

The AI analysis on my PC showed that it was at risk, with some services exposed on the network.

RadChartView Traffic Visualization

The RadChartView renders real timeline charts for network traffic and disk usage.

RadMap Threat Geolocation

The RadMap visually displays the geographic location of detected threats. When integrated with the GreyNoise API, it shows the 10 most attacked cities. I did this for fun, but you can use the control inside a form and watch more cities if this makes sense for you.

RadRadialGauge Performance Indicators

The radial gauges provide an intuitive visualization of system resource usage. They declare the vars and initialize the Gauges.

Security Alert System

One of the most important functionalities is the alarm system when a specific MAC address is detected.

To create an alert, click the third button on the mouse in the MAC ADDRESS column.

Context Alert Menu

Configure Alert Form

The code below plays a sound with the MAC address is detected on the network.

Data Export

The system allows exporting, or copying lines to memory, or all grid data in multiple professional formats.

AutoStart and System Settings

The AutoStart feature allows the application to start automatically with Windows.

Splash Screen

The application has a splash screen to help the user avoid multiples starts. It uses C# Mutex to avoid multiples instances.

Splash Screen

When starting a second instance, this message below will be fired:

Message Avoiding Multiples Instances

Accelerated Development with AI

Vibe Coding: using AI assistants to accelerate initial development, followed by manual adjustments to refine the implementation.

The process was:

1. Initial layout generation: I described the dashboard structure to the AI, and it generated the base code for the controls.
2. Integration of Telerik UI components: I requested the AI to use Telerik components, but some had to be replaced manually.
3. Business logic: From prompts, it was possible to create the alert logic according to the MAC address.
4. Visual refinement: Fine adjustments to the theme and colors were made iteratively.
5. C# 14: I changed manually some features like the new null-conditional assignment. And there are other to adjust yet.

This hybrid approach allowed me to significantly accelerate development without compromising code quality or customization.

Please note: This project was completed before the Telerik UI for WinForms AI Coding Assistant was available. This resource is now the preferred way to use AI to code with Telerik UI for WinForms as it is built with direct connection to the docs. (And if you need help, the Progress Telerik support team is second to none!)

Open Source and Demonstration

The complete source code for this project is available on GitHub (requires a Telerik license to use it with the WinForms components). The code helps you to:

• Study the implementation of Telerik components
• Adapt for your specific needs
• Contribute with improvements

I also made an executable available for testing, allowing you to experience the system before diving into the code.

Conclusion

This project demonstrates that WinForms remains a viable and powerful platform for modern desktop applications, especially when combined with the robust component suite in Telerik UI for WinForms.

The main lessons learned:

1. Performance matters: For real-time dashboards, the native execution of WinForms offers significant advantages over web solutions.
2. Professional componentization: Telerik components eliminate the need to develop complex controls from scratch.
3. Modern integrations: WinForms can easily integrate with modern APIs (OpenAI, GreyNoise) and remain relevant.
4. User experience: With the right themes and good information architecture, WinForms can compete visually with any technology.

If you are maintaining legacy WinForms applications or considering this platform for new critical desktop applications, Telerik UI for WinForms provides the tools you need to create professional, modern experiences.

The Omega Surveillance system is proof that WinForms not only survives in 2026, but it also thrives when combined with the right tools.

Try Telerik UI for WinForms free for 30 days!

Try Now

*GreyNoise is a cybersecurity intelligence platform that helps organizations distinguish between benign internet background noise and genuine malicious activity. By operating one of the largest and most sophisticated global sensor networks, it collects and analyzes mass scanning and exploitation attempts across the internet in real time. This enables security teams to filter out low-priority alerts, focus on urgent threats and reduce mean time to respond (MTTR). Trusted by over 80,000 users, 400+ government agencies and 60% of the Fortune 1000, it provides definitive, verifiable data, including complete packet captures, and integrates seamlessly into existing security workflows to empower defenders with actionable insights.

References

GitHub: https://github.com/jssmotta/OmegaSecurityOpenSource

GreyNoise: https://www.greynoise.io/

2026-02-17

• Improve error messaging and guidance when access denied by policy
• Custom agents use disable-model-invocation instead of infer (backward compatible)
• Add support for Claude Sonnet 4.6 model
• Memory storage shows subject, fact, and citations in timeline
• Tab completion respects the highlighted slash command selection
• Support MCP servers from Windows On-Device Registry
• Text selection now works in footer area in alt-screen mode
• Support --alt-screen on and --alt-screen off syntax
• Add include_coauthor config option to disable Co-authored-by trailer in git commits
• SDK APIs for plan mode, autopilot, fleet, and workspace files
• Autopilot mode and /fleet command now available to all users
• Alt-screen viewport auto-scrolls when dragging selection to edge
• Interactive shell commands complete on all versions of Windows
• Reduce memory usage in alt-screen mode during long sessions
• Session picker no longer flashes when using --resume in alt-screen mode
• Terminal bell rings once when agent finishes, not on every tool completion
• Custom instruction files are recognized regardless of casing
• PowerShell commands with syntax errors no longer hang
• Improve text selection responsiveness in --alt-screen mode
• Cursor shows when suspending and hides when resuming

Anthropic rolls out Claude Sonnet 4.6 as its new default model, bringing stronger reasoning and coding power to free and paid users alike.

The post Anthropic Launches Claude Sonnet 4.6 as Default Model for Free and Paid Users appeared first on TechRepublic.

GeekWire’s Agents of Transformation summit is a little more than a month away, and we’re announcing the first wave of speakers for the half-day event the afternoon of Tuesday, March 24, at Block 41 in Seattle, including leaders from Amazon, Microsoft, and more.

The event, presented by Accenture, focuses on questions that are top of mind for many right now: What does the rise of AI agents mean for productivity, the future of work, and the way companies and industries operate? We’re bringing together people who can speak to both the big picture and the practical realities of putting AI to work inside organizations.

Early-bird tickets are available now via the event site or below.

Here are a few of the leaders who will be joining us, with more to be announced soon.

Swami Sivasubramanian, Vice President for Agentic AI at AWS, where he leads the teams behind Bedrock, SageMaker, AgentCore, and other core AI services. He previously served on the National AI Advisory Committee, advising the White House on AI policy.

Kiana Ehsani, co-founder and CEO of Vercept, an AI startup that automates computer tasks by watching and interacting with your screen. She was previously a senior research scientist at Ai2, with a PhD from the University of Washington focused on embodied AI and robotics.

Charles Lamanna, President of Business Applications & Agents at Microsoft, where he leads efforts to embed AI agents into enterprise workflows across Microsoft’s customer base. A former startup founder, he previously led Microsoft’s Power Platform low-code technology.

Theresa Piasta, Vice President of AI Value Strategy at Outreach, where she focuses on measuring AI’s business impact and helping organizations design effective human-and-AI teams. Her background spans enterprise tech, Wall Street, and military leadership.

The afternoon will also feature a startup zone where early-stage companies will showcase their work and pitch for a live audience, along with panel discussions, fireside chats, and interviews. The main program runs from 1:30 p.m. to 5:30 p.m., followed by a networking reception.

This event builds on an ongoing GeekWire editorial series, underwritten by Accenture, spotlighting how startups, developers and tech giants are using intelligent agents to innovate.

Thanks to presenting sponsor Accenture and gold sponsors Nebius and AWS Marketplace for helping to make the event possible. For sponsorship opportunities, to participate in the startup zone, or any other inquiries about the event, contact events@geekwire.com.  

Details

• When: Tuesday, March 24, 2026, 1:30–5:30 p.m.
• Where: Block 41, 115 Bell St., Seattle
• Tickets: Early bird pricing is $145 through Feb. 24. 

Register here or below, and see you March 24 in Seattle!