This post describes a simple three-step process to build an MCP server using tools like Gitingest and Google AI Studio, enabling the transformation of FastMCP repository data into LLM-readable text. It also highlights the capabilities of the Firecrawl framework, which converts websites into structured formats for AI applications.

Schej is an inclusive scheduling platform designed to help groups find optimal meeting times. It offers free availability polling, integrates with various calendar systems, and supports features like time zone management and email notifications. Built with Vue 2, MongoDB, Go, and TailwindCSS, it provides functionality to match availabilities, duplicate polls, and export data in CSV format.

A technical lead shares their experience rebuilding a failing e-commerce system in 30 days, transforming it from a single-server monolith to a scalable microservices architecture. The rebuild involved migrating to Google Cloud Platform with Kubernetes, breaking down the Node.js monolith into Java and Go microservices, implementing Redis caching and Kafka for background jobs, rebuilding the frontend with Next.js, and adding comprehensive monitoring. The result was a system that could handle 50K concurrent users with 3x faster response times and reduced page load times from 3.7s to 1.2s. 

The post introduces the concept of semantic coupling as an innovative method to manage schema evolution in event-driven architectures, replacing traditional schema coupling. By using semantic tags instead of versioning or altering event schemas, it allows consumers to focus on the meaning of data rather than its representation. This approach prevents breaking changes and eliminates the need for event versioning, encouraging smoother schema transitions. Tools like Orbital and Taxi can facilitate these transformations by decoupling the data representation from consumers