AI can also help engineers become more efficient by directing them where to begin research. For example, when building a chat UI, AI can identify various factors the engineer needs to think through, such as performance and network considerations, and create a list of recommended actions. As a result, teams can get a head start on their projects and ultimately get to solutions faster.
AI will increase the importance and quality of documentation
It’s important to remember that AI tools need direction, and they’re only as good as the data they’re trained on. If the AI doesn’t have good input, it can’t create good output.
The industry will move toward stronger documentation practices because of how AI works. In order for the AI to perform as desired, organizations need proper, up-to-date documentation to prevent the AI from making incorrect assumptions. Well-formed prompts that are focused on an outcome, and that give the AI easier ways to discover the documentation, make a significant difference in performance because these prompts can give the AI stronger context and direction to work with.
