AI aims to predict and fix developer coding errors before disaster strikes

Generative AI is being combined with DevOps systems that can both pinpoint causes of application failure and predict failure.

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It's too soon to trust Microsoft's GitHub Copilot to automatically fix your programming code. Microsoft itself has said that the program, sold as a $10 per month add-on to GitHub, "does not write perfect code," and "may contain insecure coding patterns, bugs, or references to outdated APIs or idioms."

The Intersection of Generative AI and Engineering

The surge of generative AI can harness tremendous potential for the engineering realm. It can also come with its challenges, as enterprises and engineers alike figure out the impact of AI on their roles, business strategies, data, solutions, and product development. What does the future roadmap look like for bringing generative AI into the software fold? ZDNET decodes from all angles.

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The dream of automation, however, suggests that someday, artificial intelligence will predict a fault in a program that can break functionality, or bring systems down, and not only warn a developer before the code goes into production, but also tell them how to alter code to avert the problem. AI might even be able to reach into the application code and automatically fix it for the programmer, saving them significant effort. 

The makings of such a future can be seen in today's tools for DevOps and observability. DevOps tool maker Dynatrace has for a number of years been building what it calls "causal AI," and "predictive AI," to identify why programs go down, and to predict how they'll fail. 

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