#005 AI | PromptWizard Automating Prompts for LLMs

#007 Architecture | Conway’s Law

Conway’s Law, a principle suggesting that the technical architecture of a software system inevitably reflects the communication patterns of the organization that built it.

#006 Architecture | Vertical Slice Architecture

Vertical Slice Architecture (VSA) as an alternative to traditional layered architecture, emphasizing feature-based organization for improved maintainability. It then explains how the Cortex.Mediator library, part of the Cortex Data Framework, facilitates VSA implementation in .NET applications by employing the Mediator pattern with commands, queries, and notifications within each slice.

#005 AI | PromptWizard Automating Prompts for LLMs

PromptWizard is an automated framework for optimizing prompts for large language models (LLMs). This system uses a self-evolving mechanism that iteratively refines prompts and examples through a feedback loop of generation, critique, and synthesis. PromptWizard aims to overcome the limitations of manual prompt engineering by improving task performance across diverse applications while also demonstrating cost-effectiveness compared to existing optimization strategies. The research demonstrates PromptWizard's effectiveness even with limited data and smaller LLMs, highlighting its practical utility.

#004 Architecture | Evolution : Part 1

In our 4th episode, we will discuss on how to build reactive architectures by transitioning from monolithic systems to distributed microservices. It uses a payment processing example to illustrate the shift from synchronous, pull-based interactions to asynchronous, push-based event-driven communication. The benefits of this transition include improved scalability, resilience, and service autonomy. Key concepts discussed are microservices, reactive principles (responsiveness, resilience, elasticity, message-driven), and the advantages of a push model over a pull model.

#003 Architecture | Microservice Coupling: Patterns and Anti-patterns

At first, designing microservices may seem simple. However, as the system and teams expand, and dependencies increase, poor design choices can have major sociotechnical consequences. It becomes challenging to correct these issues, as they are built upon sub-optimal design layers. To avoid these problems, it is crucial to consider how consumers impact the design of microservices. Dependencies and misplaced responsibilities can be easily introduced, costly to endure, and difficult to reverse. Understanding the fundamental patterns, such as facade contexts, and BFFs, can also help in designing microservices effectively.