Developer builds Shadow-Branch, a background daemon that tests and patches code before commit

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A developer has created Shadow-Branch Engine, an asynchronous background tool that aims to move AI coding assistance beyond reactive workflows. The daemon detects unfinished code, mounts a parallel Git worktree that reuses existing dependencies through hardlinks, and avoids costly reinstalls. It uses AST parsing to pass only the relevant code context to a local AI model, which the author says cuts token usage by over 90 percent. Generated tests and patches run inside network-isolated Docker containers, and failing patches feed back into an automated healing loop. The project is open source on GitHub and seeks contributors to add Python and Rust language server support.

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ProgrammingDEV Community ·

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