Abstract: Methods, systems, products, services, and apparatuses for fill-in-the-middle (FIM) code completions using static code analysis, including: generating, for a piece of computer program code, at least one of a prefix portion of the computer program code and a suffix portion of the computer program code; identifying a potential middle portion for the computer program code, wherein the middle portion includes computer program code that can be inserted after the prefix portion and before the suffix portion; and presenting the potential middle portion as a code completion suggestion.

Abstract: Methods, systems, products, services, and apparatuses for root cause analysis for computer programs, including: receiving an indication to identify a root cause of a failed test of a computer program; and identifying, by a root cause model, from a plurality of changes to the computer program, based on data describing the failed test, one or more changes to the computer program as the root cause of the failed test.

Abstract: Methods, systems, products, services, and apparatuses for presenting domain-specific code suggestions for computer program code, comprising receiving a request to generate computer program code that is associated with a domain-specific code base; and presenting a code suggestion using a user interface, wherein the user interface is configured to manage one or more user interface inputs and outputs associated with the domain-specific code base.

Abstract: Methods, systems, products, services, and apparatuses for generative AI systems configured to produce computer program code using a knowledge base that includes a client-specific code base, including: receiving one or more input tokens associated with a computer program; accessing information describing a domain-specific codebase; and generating, based on the one or more input tokens associated with the computer program and information describing a domain-specific codebase, suggested code to insert into the computer program.