How Should Development Teams Use AI?

Artificial Intelligence (AI) is revolutionizing the way we work and interact with technology. As its capabilities continue to evolve, the advantages and disadvantages it brings are becoming increasingly evident across various industries and aspects of our lives. How should developers and teams responsible for building software think about AI? As developers, we are interested in specifically how AI can aid our work.

What AI can't do

To begin, let’s discuss what AI can’t do. AI can do a lot, the cardinal thing AI is missing is the human component. So how does this affect us as developers? AI can't sympathize with you when you're stuck in a project. AI can't offer a real connection like the kind you have with coworkers. AI can't tell you what you're doing matters, remind you of the importance of your vision, or cheer you on to reach your goals. No matter how great AI is, it can't replace the camaraderie and care of a human being

What AI can do

AI can adapt and learn from user preferences, delivering personalized autocomplete suggestions that align with individual needs and preferences. With AI as a better autocomplete, efficiency and speed can be significantly enhanced, empowering users to accomplish more in less time. You’ve probably experienced this through Gmail’s feature that completes sentences.

Another example is Notion AI. Notion AI gives you the ability to automatically categorize and tag documents based on their content. When a user creates a document in Notion, the AI analyzes the text and identifies key topics, keywords, and themes. It then assigns appropriate tags to the document, making it easier for users to search and retrieve relevant information quickly. This feature saves time and effort by eliminating the need for manual tagging and organizing, resulting in a more streamlined and efficient knowledge management process.

How can AI supercharge your Coding?

We are glad you asked! When coding, AI can help you build a first draft to get your creative juices flowing and inspire ideas. By analyzing code patterns, AI can suggest relevant code snippets, functions, and variable names, saving time and reducing errors. It can also offer context-specific suggestions, enhancing code completion and enabling faster and more efficient programming. You have seen this feature through software like GitHub CoPilot.

AI-powered autocomplete systems have the potential to significantly enhance productivity and speed up various tasks. By leveraging vast amounts of data and advanced algorithms, AI can offer more accurate and contextually relevant suggestions, resulting in faster completion of tasks. These improved autocomplete systems can anticipate user intentions, reducing the time spent on typing or searching for information. AI can analyze patterns from user inputs and provide tailored suggestions, enabling users to quickly compose emails, write code, or draft documents.

Can AI Help You?

At Riff, we believe leveraging AI can take developer productivity to the next level. Riff and AI can revolutionize your coding experience. Check our roadmap to see how AI will make its way into Riff.