// AI

Ready to explore our blueprint for AI-powered development? Join us to network with local tech leaders and learn the key to addressing tech debt, modernizing the software development lifecycle, and transforming your enterprise.

Ready to explore our blueprint for AI-powered development? Join us to network with local tech leaders and learn the key to addressing tech debt, modernizing the software development lifecycle, and transforming your enterprise.

Shows GitHub Copilot Workspace running on the GitHub mobile app, allowing developers to capture ideas and iterate on code from a phone or tablet. The video covers using device dictation for task input, reviewing and editing the AI-generated specification and plan, inspecting code changes via the built-in diff view, running unit tests from the integrated terminal, and creating a pull request with an auto-generated description—all from a mobile device.

Demonstrates GitHub Copilot Workspace starting from a template repository to scaffold a to-do application, showing how AI can jumpstart creativity when starting a new project. The video walks through the full specification-to-plan workflow, iterating with a live app preview, and switching between Copilot Workspace and GitHub Codespaces to make direct code edits. It also covers the share feature for collaborating on work in progress and the automated first deployment via GitHub Actions.

A walkthrough of GitHub Copilot Workspace when starting from a GitHub Issue.

Ready to explore our blueprint for AI-powered development? Join us to network with local tech leaders and learn the key to addressing tech debt, modernizing the software development lifecycle, and transforming your enterprise.

Ready to explore our blueprint for AI-powered development? Join us to network with local tech leaders and learn the key to addressing tech debt, modernizing the software development lifecycle, and transforming your enterprise.

DevOps is inherently a cultural shift with a mass of technologies involved at many stages of the lifecycle. Over the past year we have seen a huge change in the AI sector and these developers, entrepreneurs and businesses are all starting to adopt this technology and make it a part of their everyday development. With this being the case, the DevOps lifecycle is going to pivot and change for everyone in one way or another, so let's dive into how this is happening!

Rapid prototyping is more than quick coding — it is a structured discipline for learning fast and making smarter product investment decisions. In this episode, Chris is joined by Andrew Greenstein, CEO of SF AppWorks and host of "The Next Great Thing" podcast, to explore three distinct types of rapid prototyping: design sprints, iterative feature development, and platform proof-of-concepts. The conversation draws on Kent Beck's product development triathlon (explore, expand, extract), Saras Saraswathy's effectuation theory, and a West Elm innovation case study — where rapid prototyping an AI image-matching feature and a chatbot delivered measurable revenue gains.

As systems grow in complexity across distributed architectures and microservices, traditional monitoring is no longer sufficient to maintain reliability and user experience. Observability goes beyond monitoring by correlating logs, metrics, and traces to rapidly pinpoint root causes across hybrid and multi-cloud landscapes. In this episode, Chris is joined by Samir Pradka, Enterprise Architect at Artos, to explore how organisations can build an observability platform incrementally, leverage AIOps for predictive analytics, and implement self-healing infrastructure using tools like Ansible and Azure Resource Manager.