Danilo Cerino’s Post

A few years ago, building a serverless app on AWS meant jumping between docs, templates, CLI commands, and StackOverflow threads. You’d write some code. Search the docs. Fix the IAM policy. Search again. Deploy. Debug. Repeat. It worked, but it was rarely smooth. Now something interesting is happening. AWS just introduced SAM Kiro Power, which brings deep knowledge of the AWS Serverless Application Model (SAM) directly into the Kiro AI development environment. Instead of an AI assistant that guesses, it now understands the full serverless workflow. Imagine asking: “Create a serverless API with Lambda, API Gateway, and DynamoDB.” And the assistant doesn’t just write a function. It: • generates the SAM template • structures the project • configures permissions • sets up local testing • prepares deployment All following AWS best practices. The real shift here isn’t just faster code generation. It’s AI assistants evolving from autocomplete tools into domain-aware engineering partners. Of course, tools like this don’t replace experience. They amplify it. You still need the judgment to guide the system, review the architecture, and make the right decisions. Less time fighting infrastructure. More time building. Serverless development might finally feel as simple as it was always supposed to be. Curious to see where this goes next. https://lnkd.in/ePsebqrm #AWS #Serverless #AI #DeveloperTools #CloudComputing

If you're studying for the **AWS Certified Developer – Associate (DVA-C02)** or the **Solutions Architect – Professional (SAP-C02)**, pay attention to this. AWS just launched the **SAM Kiro Power** — an AI-assisted development capability built directly into the Kiro IDE. It brings serverless expertise to an agentic AI workflow, helping developers initialize SAM projects, deploy to AWS, and locally test Lambda functions — all with guardrails enforcing IAM best practices and Powertools for observability out of the box. **Why this matters for your cert prep:** The DVA-C02 exam heavily tests serverless patterns — Lambda, API Gateway, SQS, DynamoDB Streams, EventBridge, and Kinesis are all fair game. SAM Kiro Power explicitly covers all of these, plus it enforces the structured logging and IAM least-privilege patterns that appear in exam scenario questions. SAP-C02 candidates will recognize the event-driven microservices and full-stack architecture patterns this tool accelerates. **Real-world scenario:** A Developer building an event-driven order-processing system can now use Kiro's AI agent to scaffold the SAM template, wire up SQS triggers, attach least-privilege IAM roles, and instrument Lambda with Powertools — in minutes, not hours. That's exactly the architecture AWS exams ask you to *design*; now you can also *build* it locally. **The career angle:** Employers hiring AWS serverless engineers increasingly expect SAM fluency. This tool lowers the barrier — but understanding *why* the AI made each architectural choice is what separates a certified professional from someone just prompting their way through. 👇 Are you using SAM in your exam prep or day job? Drop a comment — and follow **TechReformers** for hands-on serverless labs that go beyond the slides.

Are you facing challenges with AI coding assistants that generate Lambda functions lacking observability, overlooking event source best practices, or producing Infrastructure as Code (IaC) that fails in production? The Agent Plugin for AWS Serverless offers a solution by embedding production-grade guidance directly into Claude Code, Cursor, and Kiro. It dynamically loads expertise for SAM/CDK patterns, EventBridge and Step Functions integrations, and Lambda durable functions with checkpoint-replay for stateful workflows. https://lnkd.in/gn8T-PMf This approach minimizes the blast radius from AI-generated misconfigurations and reduces total cost of ownership (TCO) on rework cycles. It is built on the open Agent Skills format for enhanced portability. What percentage of your AI-assisted serverless code requires significant refactoring before production? #AWS #Serverless #DevOps #SolutionsArchitecture #IaC

🚀 AI-Powered Serverless Development Just Got Smarter: Agent Plugin for AWS Serverless Developers, this is a game-changer: AWS just released the Agent Plugin for AWS Serverless, bringing AI-assisted development to your favorite coding assistants. Build production-ready serverless applications faster with embedded AWS expertise. 3 Key Takeaways: 1️⃣ AI Coding Assistants Meet AWS Best Practices — Works seamlessly with Claude Code, Kiro, and Cursor. The plugin packages serverless skills, architectural patterns, and best practices directly into your AI assistant, giving you expert guidance while you code—no context switching or documentation hunting required. 2️⃣ Complete Serverless Development Lifecycle — Build Lambda functions with EventBridge, Kinesis, and Step Functions integration. Deploy with SAM and CDK. Implement durable functions for stateful workflows. Design APIs with API Gateway. Built-in guidance for observability, performance optimization, and troubleshooting throughout your entire development journey. 3️⃣ Modular, Reusable Agent Skills — Powered by the open Agent Skills format, making capabilities portable across compatible AI tools. Install with one command in Claude Code ('/plugin install aws-serverless@claude-plugins-official') or mix-and-match individual skills in any supporting AI assistant. The Pain Point Solved: Serverless developers constantly context-switch between their IDE and AWS documentation to understand best practices, architectural patterns, CI/CD setup, and error handling. This friction slows development and increases mistakes. The Agent Plugin eliminates this gap—your AI assistant now has serverless expertise built-in, accelerating development while ensuring production-ready code from day one. Ready to supercharge your serverless development? Install the Agent Plugin in Claude Code or Cursor today. Explore individual agent skills on GitHub for more granular capabilities. 👉 Learn more: https://lnkd.in/eR29Y2yF #AWS #Serverless #Lambda #AI #DeveloperTools #CloudDevelopment #CodeAssistant

𝗧𝗛𝗘 𝗙𝗨𝗧𝗨𝗥𝗘 𝗢𝗙 𝗖𝗟𝗢𝗨𝗗 𝗜𝗦 𝗔𝗟𝗥𝗘𝗔𝗗𝗬 𝗢𝗡 𝗬𝗢𝗨𝗥 𝗟𝗔𝗣𝗧𝗢𝗣. Imagine testing 147 AWS services without a credit card or internet. That’s Robotocore – an MIT‑licensed AWS twin that runs locally, zero telemetry, free forever. It listens on localhost:4566, parses the 12‑digit key, and gives you real‑world behavior for S3, Lambda, DynamoDB, and 144+ more. Spin it up in ONE Docker command, then plug it into your CI pipelines – no flaky network, no cloud bills. Perfect for AI agents, dev‑ops testing, or teaching students a safe sandbox. Multi‑account, multi‑region isolation means each team gets its own in‑memory state – just like real AWS. Over 5,500 unit tests and 11,000 compatibility checks guarantee reliability. What would you build first with a local AWS twin? Drop your ideas below. Read the full article to get the step‑by‑step guide. #CloudDevelopment #OpenSource #Robotocore #DevOps #AI

🚀 Scaling Code Modernization with Agentic AI & AWS Transform custom 🚀 Software modernization is one of the toughest challenges for large engineering organizations — especially when you’re managing hundreds or thousands of repositories. Manual upgrades, refactoring, and framework migrations can drain developer time and balloon technical debt. That’s why I’m excited about the new open-source solution detailed by AWS that helps teams modernize at enterprise scale using AWS Transform custom. ✨ What this offers: • 🧠 Agentic AI transformations — AWS Transform custom uses AI to automate large-scale modernization tasks like language upgrades, API migrations, refactoring, and custom code transformations. • ⚙️ Parallel execution at scale — Leverages AWS Batch + AWS Fargate to process thousands of repositories concurrently. • 🔐 Secure, reliable orchestration — REST API with IAM authentication allows programmatic control, queuing, and monitoring across your code estate. • 📊 Comprehensive monitoring — CloudWatch dashboards surface success rates, logs, and operational health so you can track modernization progress. This means less time rewiring legacy systems and more time delivering business value — crucial for organizations racing to reduce technical debt and accelerate innovation. 💡 Whether you’re upgrading runtimes, refactoring frameworks, or modernizing APIs, this approach scales modernization without adding manual toil. Read me about: https://lnkd.in/g-MaVRkh #AWS #DevOps #AI #CodeModernization #CloudComputing #aipilotasaservice #SoftwareEngineering #virtualanai #virtualan #ai_pilot_as_a_service

Accelerate AI-assisted development with Agent Plugin for AWS Serverless - AWS announces the Agent Plugin for AWS Serverless, enabling developers to easily build, deploy, troubleshoot, and manage serverless applications using AI coding assistants like Kiro, Claude Code, and Cursor. Agent plugins extend AI coding assistants with structured, reusable capabilities by packaging skills,… https://lnkd.in/e9_cybVm

Agent Plugins represent more than Automation AWS recently released Agent Plugins for AWS, an open-source repository providing AI coding agents with specialized skills for architecting, deploying, and operating applications on AWS. The initial deploy-on-aws plugin transforms deployment workflows by accepting natural language commands like "deploy to AWS" and generating complete deployment pipelines with architecture recommendations, cost estimates, and infrastructure-as-code. https://lnkd.in/esrNM4ah

Agent plugins are the latest evolution of development assisting tools. Agent plugins extend AI coding assistants with structured, reusable capabilities by packaging skills, sub-agents, hooks, and Model Context Protocol (MCP) servers into a single modular unit. AWS has announced the Agent Plugin for AWS Serverless, enabling developers to easily build, deploy, troubleshoot, and manage serverless applications using AI coding assistants like Kiro, Claude Code, and Cursor.

A microservices-based solution rebuilt using a 100% Microsoft ecosystem, including: - Azure Service Bus - Azure Cosmos DB - Azure Kubernetes Service (AKS) LogCorner.EduSync.Speech is an event-driven microservices solution built with .NET and deployed on AKS. The solution: ✅ Implements CQRS and event-driven projections to separate write and read workloads ✅ Enables real-time data updates ✅ Integrates AI-powered conversational capabilities ✅ Is fully containerized and scalable on Kubernetes This project is part of a broader journey of applying event-driven architecture patterns and cloud-native principles in a real-world scenario. Full article here: https://lnkd.in/eurcYWgR #Microservices #EventDrivenArchitecture #Azure #AKS #DotNet #CloudNative #CQRS #CosmosDB #ServiceBus #Kubernetes #SoftwareArchitecture #AI #DevOps #Foundry 💚