Transforming App Development with AI, Part 3: Challenges and Ethical Considerations

by

Artificial intelligence continues to redefine industries, unlocking powerful capabilities and opportunities. However, alongside these advancements come significant challenges and ethical questions. As businesses and developers, it’s critical for us to understand and navigate the complexities of AI, including issues related to bias, transparency, privacy, and workforce implications. Let’s explore these challenges and outline some practical considerations for ethically responsible AI adoption.

Coding With GitHub Copilot

by

Approximately 70-95% of software developers have begun incorporating artificial intelligence (AI) into their workflows, according to recent surveys by GitHub and Stack Overflow. AI-powered tools have the power to help make the development process more efficient and enjoyable for software engineers, especially once they can fully incorporate the tools into their workflows. 

GitHub Copilot has gained a large following in the software world – pretty much everyone who has dabbled in AI coding has at least heard of it, and most have even tried it out. In this blog post, I’ll look at what Copilot is, how we have started using it at Grio, and how I see it shaping the future of software development. 

Transforming App Development with AI, Part 2: Case Studies and Success Stories

by

Artificial intelligence (AI) is shaking things up in app development, making everything from automation to personalization feel like magic. Companies across industries are harnessing AI to improve efficiency, reduce costs, and deliver innovative products to their users. In this blog post, we’ll explore some real-world examples of companies that have successfully integrated AI into their apps and app development workflows.

Transforming App Development with AI, Part 1: Integrating AI Across the Development Lifecycle

by

AI is rapidly transforming app development by optimizing workflows, refining user experiences, and enhancing decision-making at every stage of the development lifecycle. From ideation to post-deployment, AI tools are enabling development teams to work smarter, and more efficiently. Here are some practical examples of how AI is transforming each phase of modern app development, as well as some recommended tools to get you started.

Leveraging AI After App Deployment

by

Congratulations- you’ve launched your app! The work is finally done… right? Wrong. Once your app is deployed, maintenance and enhancements are regularly required to keep it running smoothly.

While these tasks have typically required a continual influx of time and money, artificial intelligence (AI) tools are now allowing app owners to automate many of these repetitive processes. In this blog, we will examine how you can leverage AI to maximize your success after your app launches. 

Transforming App Development with AI: Series Overview

by

AI Development

Today’s digital age demands speed, innovation, and precision — qualities that traditional app development methods often struggle to deliver consistently. Enter artificial intelligence (AI), a transformative force reshaping the way apps are conceptualized, designed, built, and maintained. AI is not just a buzzword; it’s a game-changer that empowers developers to work smarter, create faster, and achieve more.

This blog kicks off a comprehensive series on how AI is revolutionizing app development. Over the coming articles, we’ll take an in-depth look at how AI integrates into every stage of the app development lifecycle, from conception to deployment, and how it addresses some of the most pressing challenges faced by developers today. The goal is to equip you with actionable insights and practical knowledge to harness the power of AI in your projects.

How Artificial Intelligence is Improving Quality Assurance 

by

Gain confidence in your software with quality assurance

Quality assurance (QA) is an important part of the software development process. It is the process of testing a software application to ensure that it meets the standards and requirements that users expect. 

QA can be a time- and money-intensive process. Teams are typically forced to thread the needle between conducting enough testing to ensure an app is ready to launch and staying within a budget and deadline. However, there are several ways that strategically deployed use of artificial intelligence (AI) in QA can help balance time and cost.

A Multi-Faceted Approach to the Rivals Brand Refresh

by

Refreshing your company’s brand is more than just updating your logo. Refreshing your brand requires multiple layers of design and development to create a strong brand identity that can be implemented across platforms consistently and reliably.

When Rivals decided to refresh the branding on their website, mobile apps, and social media accounts, Grio knew that multiple design elements would be needed to carry the design across platforms. Grio worked with Rivals to establish their digital design goals, and then the Grio team worked tirelessly to bring Rivals’s vision to life.

Talks to Watch: Figma’s Config 2024

by

Each year, Figma hosts Config, a community-focused space for learning, sharing ideas, and celebrating craftsmanship. The 2024 conference, held on June 26 and 27, 2024, featured over 75 speakers and more than 50 sessions that covered a myriad of design-related topics.

Mike Mulvey, Creative Director with Grio, attended Config 2024 and is here to share his feedback on the best talks at the conference:

GRŌ Your Offerings with AI Integrations

by

In June 2024, Grio launched the GRŌ app: an AI gardening assistant for novice gardeners. The GRŌ app was an excellent way for us to understand the full extent of AI’s capabilities while identifying pitfalls and limitations to avoid on future projects.