"Designed to be integrated with continuous integration/continuous deployment (CI/CD) platforms such as Jenkins and others, the Zencoder AI agent can resolve issues, implement fixes, improve code quality, generate and run tests, and create documentation. As such, the goal is not just to write more code faster, but rather enable DevOps teams to take advantage of AI agents running in the background to re-engineer workflows in ways that result in more applications being deployed faster, said Filev."
"Less clear is to what degree AI tools are benefitting senior developers more than junior ones. In theory, AI tools should automate tasks that were once handed off to junior developers. However, it's also arguable that as AI agents evolve they will be able to take advantage of more advanced reasoning capabilities to build more sophisticated applications without the aid of a senior developer. One way or another, AI will make it easier for generalists to build, deploy and update applications, noted Filev."
Zencoder added a command line interface (CLI) option to its artificial intelligence agent for creating code, giving development teams an alternative to integrated development environments. The agent indexes code patterns and dependencies across repositories, enabling generation and updates across multiple files while validating syntax, project conventions, and integration requirements. The agent integrates with CI/CD platforms such as Jenkins to resolve issues, implement fixes, improve code quality, generate and run tests, and create documentation. The intent is to run AI agents in the background to re-engineer workflows and accelerate application deployments. The volume of generated code is increasing while code quality and security outcomes can vary.
Read at DevOps.com
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