Together with our guest, Rico Neitzel (Co-founder and Lead Architect at run_as_root), we discuss the topic of Composable eCommerce.

Get ready to hear answers to questions like:

• • What is Composable Architecture?
  • What problems does it solve?
  • Who needs it?
  • What are the drawbacks and additional costs associated with this approach?
  • What are real-life examples of implementation?

  BONUS:
  A helpful checklist to determine whether Composable Commerce is a good fit for your business:
  https://www.run-as-root.sh/ccq

  Hosted by:
  • Vladyslav Podorozhnyi: https://www.linkedin.com/in/vladyslav-podorozhnyi/
  • Oleksandr Kravchuk: https://www.linkedin.com/in/oleksandr-kravchuk/
  • Vitalii Boiko: https://www.linkedin.com/in/vitalii-boiko-3ba269232/
  • Guest – Rico Neitzel: https://www.linkedin.com/in/rico-neitzel/

  0:00 Welcome!
  1:40 Introduction to Composable Commerce
  11:06 Understanding Composable Commerce
  17:14 Defining Composable Commerce for Merchants
  23:05 The Purpose and Problems Solved by Composable Commerce
  26:35 The Project Profile that fits Composable Architecture
  30:47 Examples of Composable Commerce Platforms
  43:40 Out-of-the-box Composable Commerce solutions
  48:38 Challenges of Composable Commerce
  55:35 Final Thoughts

Github Repo: https://github.com/vpodorozh/mcp-git-command-demo

Summary

In this session, Vladyslav Podorozhnyi introduces the Model Context Protocol (MCP) and demonstrates how to build an MCP server for executing Git commands. The conversation covers the importance of MCP in standardizing communication with AI models, the tools and resources it provides, and the process of creating and testing an MCP server. Vlad also discusses the architecture involving MCP, LLM, and client interactions, emphasizing the need for proper input and debugging to enhance functionality. The session concludes with a call for questions and further engagement.

Takeaways

• * MCP standardizes communication between applications and AI models.
  * It helps track conversations efficiently to avoid losing context.
  * MCP provides tools, prompts, and resources for developers.
  * Building an MCP server involves defining tools for specific commands.
  * Testing is crucial to ensure the MCP server functions correctly.
  * Connecting the MCP server to a client is essential for interaction.
  * Debugging is necessary to enhance the MCP server's functionality.
  * The architecture of MCP, LLM, and client is complex but powerful.
  * LLM acts as a decision maker in the interaction process.
  * Using MCP requires understanding and careful implementation.

  Chapters

  00:00 Introduction to MCP Server Build
  04:54 Exploring MCP Server Functionality
  09:16 Connecting MCP Server to Client
  12:31 Debugging and Enhancing MCP Functionality
  16:24 Understanding MCP Architecture and Workflow

  Author:
  Vladyslav Podorozhnyi https://www.linkedin.com/in/vladyslav-podorozhnyi

Together with our guest Oleksii Lunkov (Fractional Chief E-Commerce Officer), we explore how AI is changing the way we develop software. We talk about understanding requirements, how AI tools are making coding easier, and what this means for business goals, tech debt, and developer roles.

We also touch on:

• • The evolution of coding practices
  • The impact of AI on jobs and the future of work
  • The importance of evergreen skills
  • How to stay relevant in an AI-driven world
  • Procrastination and productivity in tech
  • What AI means for e-commerce development

  Hosted by:
  • Vladyslav Podorozhnyi: https://www.linkedin.com/in/vladyslav-podorozhnyi/
  • Oleksandr Kravchuk: https://www.linkedin.com/in/oleksandr-kravchuk/
  • Vitalii Boiko: https://www.linkedin.com/in/vitalii-boiko-3ba269232/
  • Guest – Oleksii Lunkov: https://www.linkedin.com/in/oleksii-lunkov/