A Comprehensive Look at Twenty AI Assisted Coding Risks and Remedies

In recent decades, artificial intelligence has radically changed the way software is created, tested, and deployed, bringing about a significant shift in software development history. Originally, it was only a simple autocomplete function, but it has evolved into a sophisticated AI system capable of producing entire modules of code based on natural language inputs. 

The development industry has become more automated, resulting in the need for backend services, APIs, machine learning pipelines, and even complete user interfaces being able to be designed in a fraction of the time it used to take. Across a range of industries, the culture of development is being transformed by this acceleration. 

Teams at startups and enterprises alike are now integrating Artificial Intelligence into their workflows to automate tasks once exclusively the domain of experienced engineers, thereby introducing a new way of delivering software.

It has been through this rapid adoption that a culture has emerged known as “vibe coding,” in which developers rely on AI tools to handle a large portion of the development process instead of using them merely as a tool to assist with a few small tasks.

Rather than manually debugging or rethinking system design, they request the AI to come up with corrections, enhancements, or entirely new features rather than manually debugging the code.

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