AI for performance optimization

As we discussed in the previous section, AI represents an incredible opportunity for developers to enhance their performance optimization efforts and improve their results. By adopting a set of AI tools and models, we can efficiently improve our applications as part of a continuous improvement mindset. For example, the predictive abilities of AI can help us predict bottlenecks before they happen. Imagine updating your code to prevent a bottleneck or resource depletion without any system user being impacted. We no longer need to wait for complaints of low responsiveness or read logs to see errors and alerts.

Next, we will look at how we can use AI for code optimization and performance fine-tuning.

Code optimization and performance tuning

AI is highly capable of analyzing existing code and providing optimization insights. This is possible by training ML models to identify code patterns that are inefficient, code that might lead to memory leaks...