The tech landscape moves fast, and as a Platform/Developer experience engineer I like to stay up to date with recent technology and approaches so that I can deliver the best and most solid approach for my engineers. As such in this blog post I will explore what my personal development stack looks like, and how I want to kick it up a notch and reflect on the challenges I've had in the previous year. Strap in because this is gonna be a janky ride. But first I will dig into why I've got a personal platform and why that might be useful for you as well.

The follow-up article showcases a practical example of how to apply the strangler pattern to a monolithic system, using a Go application as an example. The process involves incrementally extracting small pieces of functionality into separate APIs, testing them, and gradually replacing the old monolithic code. This approach allows for a smoother and less risky transition to a microservices architecture, with minimal disruption to the existing system.

This article addresses the challenges of dismantling monolithic systems and presents strategies such as the strangler pattern, decorator strategy, and sprig strategy for a smoother transition. It emphasizes the importance of maintaining momentum and balancing the organization's structure. The concepts and strategies apply to both business and application levels, aiming to improve scalability, maintainability, and performance.

In this post, the author explores how to distribute a development platform and deployment system across an organization to share robust tools and workflows. They discuss the importance of opinionated workflows and blessed paths, which are focused on specific technologies and tooling. By choosing a blessed path, developers can share a common set of tools and reduce cognitive load, allowing them to focus on feature development.

Dive into the world of AI-driven software development as we explore a system that evolves with AI capabilities and context. Learn how starting with a minimal viable product and gradually increasing responsibility can lead to AI-managed software systems. This blog post delves into the challenges of context limitations and expansion, and discusses potential solutions and strategies to optimize AI-generated code. Join us as we envision the future of AI-managed software systems and their potential for transforming the software development landscape.