In this webinar episode, discover how GitHub Co-pilot and Azure AI are transforming software development by enhancing productivity, reducing repetitive coding tasks, and improving team collaboration. Learn practical integration strategies for these AI tools to maximize your team's potential in the evolving landscape of DevOps.
Speakers
Marko Klemetti
AI
CTO of Eficode
Marko leads Eficode’s technical direction, helping organizations turn AI from isolated experimentation into a scalable software delivery capability. As CTO, he has shaped the company’s engineering approach from its earliest days and developed the framework Eficode uses to guide AI-native transformation. He writes and speaks regularly on the future of software development, with a focus on the practices that enable faster, more effective delivery.
Transcript
Hello everybody and welcome to the Thursday afternoon webinar on top AI tools for DevOps and software development. We're going to kick things off in episode one with boosting productivity with GitHub Co-pilot and Azure AI. Today, the presenters will be me, Maro, and Hanu. I will start by going a bit through the AI topic and how organizations are changing, and then we'll jump right into GitHub Co-pilot features and how it changes the developer flow. After me, Hanu will be talking more about Azure AI.
As we're speaking in Zoom, you will find a poll with two questions, so not very laborious. You'll go ahead, walk to the poll, and answer the two questions, and then in the end, we'll see some of the results. Let's go!
Roy Amara created Amara's law, which essentially says that we tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run. As we've now been in the generative AI era for a bit over two years, we've already seen that the tools have evolved hugely. This week, we've had lots of new updates into some of the tools I'll be showing today and also some of the tools that Hanu will be showing. We know that the technology is running in front of us, but at the same time, how do we put them in place in organizations effectively?
We see that there are two change movements happening in organizations: the developer platforms and platform engineering, which continue the DevOps movement, making organizational transformation possible by consolidating tooling and cognitive load within developers. At the same time, the AI-driven development movement is coming on an individual level into organizations, allowing developers to use tools that can change their way of working.
GitHub Co-pilot has been around for now four and a half years, and we are starting to change our way of working. However, only less than half of the companies have actually implemented AI in their software development. This number is growing, but many organizations still do not see digital services in their core strategy or are not yet ready for this movement. Currently, only 11% of organizations are actively using AI in their workflows, meaning that it's still very much a developer tool.
AI co-piloting promises big changes, like boosting development flow significantly. GitHub research states that AI co-piloting can make developers 55% faster. However, from an organizational point of view, this is not always the case. On average, organizations tend to use only 5 to 10% of their R&D budget on actual development work, so making that 55% faster would only result in a 2.5 to 5% faster organization overall.
From our customer base, we've seen two things happening. [Further details omitted for brevity...]
- DevOps
- AI
- Webinars
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