
Claude Built My Wix Website in 3 Hours - Is SaaS Dead?
I replaced my Wix website using Claude in 3 hours. A real experiment on AI, buy vs build, and why SaaS isn’t dead but rapidly evolving.
14 articles tagged with “Ai”

I replaced my Wix website using Claude in 3 hours. A real experiment on AI, buy vs build, and why SaaS isn’t dead but rapidly evolving.

AI is transforming the Software Development Life Cycle by embedding intelligent agents into planning, design, development, testing, and operations. This guide explains how to build a secure, governed, and scalable AI-driven SDLC using spec-driven development, centralized governance, and platform engineering practices. Learn how organizations can improve velocity, quality, and security while enabling developers to deliver production-ready code from day one.

AWS re:Invent 2025 summary - exciting new services and features launched from a Serverless and agentic AI developer perspective.

Platform engineering isn't just for Kubernetes—serverless teams need it too. In this post, learn how applying platform engineering principles to AWS serverless can help you scale infrastructure, enforce security, improve observability, and boost developer productivity. From reusable CDK blueprints to automated governance and cost optimization, see how platform teams empower developers and accelerate delivery in a serverless world.

My session guide for AWS re:Invent: 2025 breakout sessions, workshops, and talks relevant to Serverless, SaaS, platform engineering, and security.

Building agentic AI requires more than prompts—it needs secure, structured access to your systems. This post explores three ways to deploy a production-grade MCP server on AWS: Lambda with Web Adapter, Pure Lambda, and AWS Fargate. Compare performance, cost, observability, and DevEx tradeoffs, and access ready-to-use CDK templates. Ideal for teams bringing agentic AI into real-world applications on AWS.

learn best practices for crafting effective prompts, integrating organizational context with MCP, avoiding common pitfalls, and scaling AI workflows across teams. Discover how to build faster, smarter, and safer with agentic AI—without losing your engineering edge.

learn how to build a secure, governed foundation for AI adoption using three key building blocks: a centralized prompt library and CLI, MCP server blueprints, and connectors to organizational data. Discover practical strategies to enable architecture reviews, code transformations, and design generation—all while aligning with security and platform engineering standards.

I attempted to run an MCP server serverlessly on AWS Lambda using FastAPI, FastMCP, and the Lambda Web Adapter. While it technically worked, the developer experience was rough—cold starts were slow, observability was limited, and testing was clunky. Compared to my experience building with Bedrock agents, this felt like a step backward. MCP is promising, but today, running it on Lambda isn’t production-ready. Here’s my full breakdown and thoughts.

This post walks through building a stateless Model Context Protocol (MCP) server on AWS Lambda using Streamable HTTP—no custom bridges or transports. It explores MCP internals, tool/resource definitions, deployment with API Gateway, and local testing with stdio. Learn how Agentic AI Assistants leverage MCP to execute actions with real-time context, and how this protocol simplifies integration across diverse systems.

Reflect on the current state of serverless, share my thoughts about articles from the community, and discuss the future of serverless

Build a chatbot with Amazon Bedrock agents using Powertools for AWS. Learn to automate Lambda API calls via OpenAPI with bedrock agents.

An opinionated article about the current state of ChatGPT, its good and bad sides, and its future triggered by my grandmother using ChatGPT.

Learn to automate TTS, text to speech, with Amazon Polly in minutes using the provided GitHub Serverless service to improve accessibility.