With numerous benefits to using Generative AI in coding, it’s no wonder so many organizations are harnessing this new technology to their advantage. If you haven’t started using Generative AI in coding yet, though, no need to fear. In this video, Chief Engineering Officer Janet Pierce shares three steps to help you get started with using generative AI in coding.
The Benefits to Generative AI in Coding
We are seeing a 50% increase in productivity for both boilerplate and tedious code. We’re seeing that our developers are receiving a lot of benefits to it. These things are fallible, just like people, just like your engineers today are fallible. This is no different. It doesn’t negate good process, right? You still have to have code reviews, testing, security scans. All of these things still need to exist.
Important Considerations
With AI, there are opportunities for copyright infringement and intellectual property issues, where they could possibly provide suggestions that belong to other people or retain your information as part of the search, so your information is now being shared. Also, it can lead to the introduction of biased code. If the model itself is trained on biased data, then it could in fact produce biased code suggestions.
Other things–security. Is it secure? Is it intentionally providing malicious code? In reality, while those are all risks, with proper licensing, most of these have ways to avoid using proprietary code.
Steps to Using Generative AI: Look at Your Technology First
The first thing you have to do is figure out what options are out there. There are a lot of different tools to use. Looking at your technology first gives you kind of the first subset.
Then, Consider the Privacy Policies
Do a deep dive into those, what they do, how their models are trained and how they protect you against intellectual property infringement and biased code.
Make Sure You Have a Good Handle On Your Processes
Do this so that you’re actually following good development processes and evaluate your teams, too. What is the makeup of your team? If it’s a bunch of very young, new engineers, this is probably not the best team to start off with.
When we first started rolling this out, everybody thought, “Wow, this is super easy.” And it is. It’s not a difficult tool. However, there is a little bit of art to it.
Removing the Stigma: Integrating AI
For all of the hype surrounding AI, some people still have a bit of anxiety about integrating it into their projects and processes. In this Tech in 2, Director of Solution Engineering Jackson Stakeman shares his AI integration tips for organizations that may still be hesitant about getting started with it.
Advancing Tech Adoption in Transportation
In the transportation & logistics (T&L) industry, tech investments have traditionally been tied to compliance, but now, by utilizing their large amounts of data, T&L companies can do so much more. In this Tech in 2, Client Success Partner Chris McRae shares how he’s seeing T&L organizations use tech to automate workflows, gain deeper business insights and save money.
CX vs. UX
When it comes to application development, typically a lot of budget is put into creating a great user experience (UX), but only thinking about UX and not CX (customer experience) can be detrimental to your brand loyalty. In this Tech in 2, Principal Consultant Joe Dallacqua shares his top tips for balancing CX and UX.
Adaptation in Software Modernization
Traditionally, capital investments were very concrete (ie building a factory on the river because you needed water to power the mill), but nowadays in software development, things are easier to change. In this Tech in 2, Director of Solution Engineering Jackson Stakeman shares why adapting your strategies to accommodate for change is key and why you should employ the Wayne Gretzky method of skating to where the puck is going to be.