AI-aided product engineering is using generative AI technologies throughout the life cycle of your product development all the way from ideation, design, business analysis through development and into deployment, so it’s a shift away from the traditional usage which is really engineering-focused. This is all helping drive speed-to-market for our clients in focusing on what are the business problems in market as opposed to perhaps solving some more of the plumbing type problems, moving data from here to here. It’s really about how do you serve customers, whether those customers are internal or external. If you look at the traditional benefits around the coding assistance, it’s a 20 to 40 percent productivity advantage and you see those similar advantages in process design and front-end design.
Choose the Right Tools
There are a couple of really important considerations to make. We have found that selecting the right tooling is extremely important. If you look in the design space, there are various tools. In the coding tools space there are tools like Microsoft Copilot or AWS CodeWhisperer and often you need to analyze your environment, your processes and your coding languages to determine the right fit for that.
Keep Humans in the Loop
The other really important consideration is that these are human in the loop technologies. These are technologies that are focused on making humans more efficient, not taking humans out of the equation, so when you have a coding tool or a design tool, they’re often aiding an engineer or a designer. They’re generating some of the boilerplate, the tests or the things that are routine and allowing those engineers and those designers to focus on areas of true business value creation. When you look at the design in the earlier stages and being able to do an interview with the business stakeholder and generate a report on the backside of that, that does your process design for you. I think these will all be adopted to drive efficiency. If you look at where we are in the cycle now, I think we’re in the early adopter phase on many of these.
Getting Started with Generative AI-Assisted Coding
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.
Better Software Development Through Collaborative Communication
Collaborative communication in software development is so important, as it helps you anticipate obstacles, figure out how to resolve them and ensure you have a well-rounded product. In this Tech in 2, Senior Consultant Jennifer Butler shares three keys to collaborative communication.
Learning From Old Code to Improve New Code
When faced with very old code, a developer might question “what were they thinking?” or “who would design something like this?” In reality, though, there’s actually a lot that can be learned from old code. In this Tech in 2, Principal Consultant Jeremy Swineheart shares three keys to learning from old code.
Solving Common Problems in Software Development
A couple of the biggest challenges that Client Executive Hannah Stork is seeing in software development currently are capacity-based issues and speed-to-market challenges. In this Tech in 2, hear from Hannah as she shares three tips to solve these common problems.