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This post outlines future research directions for AI programming, including next action prediction, improving edit quality through scaled inference, optimizing context retrieval for codebases (including multi-hop context), and enhancing bug detection and debugging capabilities. It proposes research into action prediction models, advanced inference techniques for larger edits, novel retrieval methods for codebases, and improved debugging tools that track runtime information.