AI is transforming how software is created, from the first design sketches to the final tests before launch. To really get the most out of AI, development teams are evolving how they work, re-shaping their culture and skills to fit around these new tools.
"By 2027, 70% of professional developers will use AI-powered coding tools, up from less than 10% today." - Gartner
• AI as a Co-Writer: Think of AI as a coding buddy that helps turn new ideas into fully-delivered software solutions.
• AI for App Updates: AI can act like a language translator for code, making it easy to switch from one programming language to another.
• AI as a Debt Detector: It can analyse and calculate 'technical debt'—those shortcuts in coding that save time now but cause headaches later.
• AI for User Satisfaction: As people are starting to expect smarter apps, AI helps meet those demands by enhancing user experience.
• AI in Testing: AI can speed up the whole testing process, helping teams sort out what to test first, keep track of tests, generate test data, visually inspect code, and analyse bugs.
1. Embrace AI Early: Get your team comfortable with using AI from the very start of a project.
2. Know When to Use AI: Give your developers clear guidelines on when, where and how AI can be most helpful.
3. Boost Your Data Game: Expand work in the data engineering pipeline to make the most of AI's potential.
4. Team Synergy: Ensure your developers and model builders work together closely.
5. Join Forces: Ensure close collaboration with data and analytics, AI TRiSM, and AI governance teams.
6. Continuous Learning: Keep your team's skills sharp and up to date with the latest in AI.
Integrating AI into software development isn't just about keeping up with the times; it's about leading the charge into a more efficient and innovative future.
To read more, try the article Set Up Now for AI to Augment Software Development by Gartner.
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