This article originally appeared on DevOps.com. Read the full article here >
Everyone is talking about artificial intelligence (AI). More specifically, they are buzzing about generative artificial intelligence (GenAI), the chatbots with the perceived potential to usher in a universal utopia or destroy the world (depending on who you talk to).
These extremes are speculative at best, foretelling an uncertain future shaped by GenAI.
In the meantime, GenAI tools, like ChatGPT, Claude, Gemini and the countless other models popping up daily, are good coders.
In fact, they are really good coders.
More specifically, it is a good coding assistant. One study found that GenAI increases coders’ productivity and capabilities, expanding their aptitude for new data science tasks, even without prior experience in coding or statistics.
However, in 2025, we don’t just need more software. We need safer software that is resilient against even the most pernicious cybersecurity threats, putting companies and customers at risk.
For small startups and major corporations, this places increasing importance on DevOps and software development skills, training and certification.
This is where GenAI can really help companies. In addition to producing new code, it can enable companies to teach their tech teams how to protect sensitive data, maintain regulatory compliance and mitigate emerging security risks at scale.