AI RESEARCH
Reinforcement Learning from Compiler and Language Server Feedback
arXiv CS.CL
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ArXi:2510.22907v2 Announce Type: replace Coding agents fail when text-level guesses outrun program facts: they hallucinate APIs, drift to the wrong symbol, and apply edits without evidence that the workspace remains valid. Compilers, type checkers, and language servers already compute the missing supervision signal, in the form of diagnostics, symbol resolution, type information, references, and refactoring preconditions, but expose it through interfaces designed for human-driven IDEs rather than learning loops. We.