Abstract: During a software development lifecycle of a software application, application code is modified and multiple versions are built and packaged to be installed on different computing systems, such as on a software development computing system, a software testing computing systems, and/or production or end-user computing systems. A runtime error optimization engine analyzes, using a first artificial intelligence model, a build package to predict whether it may encounter runtime errors causing an installation to fail. When an error is identified, a runtime error orchestration engine may utilize a second artificial intelligence model to identify a solution, where the runtime error orchestration engine rebuilds the build package based on an identified solution and initiates installation via a deployment pipeline.