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An example of the costs of code migration is Commonwealth Bank of Australia. The bank spent $750 million over the course of five years to convert their COBOL-based system to Java.
But just like AI has been able to make translation between natural languages, like English and Chinese, AI can translate computer code too.
Recent work by a team at Facebook has created a competent transpiler, a source-to-source compiler that can translate programming languages. The initial results of the project are impressive.
Justin Gottschlich, principal scientist and director at Intel Labs, said that “AI-based transpilers are really just trying to eliminate the minutiae of creating software. They could help accelerate productivity … [by taking care of] bugging. [And they could] increase the number of jobs [in tech] because people who don’t have a programming background will be able to take their creative intuition and capture that via machine by these intentionality interfaces.”