You can use C-Reduce for any language

Overall Enthusiasm and Use Cases

  • Many commenters had never heard of C-Reduce and were immediately impressed, likening it to discovering git bisect for the first time.
  • Reported uses: isolating compiler bugs (C, C++, cc65, LLVM targets), assembler defects, SQL bugs, HPC issues, and even RustPython / Python code.
  • Users note it shines in large, complex systems where manual minimization would be prohibitively slow.

How It Works (Language-Agnostic Core)

  • Core idea: “test-case reduction” / delta debugging. Start from a failing input and iteratively transform it while checking if it still triggers the bug (“interestingness test”).
  • It does not need to preserve validity on every step; invalid mutations are discarded when the test fails.
  • Generic passes: remove lines, tokens, blocks inside balanced parentheses/braces/brackets, strip comments/whitespace, mutate literals.
  • Many languages tokenise similarly to C, so these heuristics work surprisingly well even outside C/C++.

Safety and Execution Concerns

  • Several commenters worry about mutated programs becoming destructive (e.g., rm -rf /).
  • Counterpoints:
    • C-Reduce mostly removes rather than adds code, but reductions can make commands more dangerous.
    • Mitigations suggested:
      • Make the interestingness script reject known-dangerous patterns.
      • Run tests in Docker, VMs, or Nix sandboxes.
      • Prefer compiler-only checks when chasing compiler crashes or miscompiles.

Alternative and Related Tools

  • Mentioned tools: Shrinkray (format-independent reducer with strong generic heuristics), cvise (Python port of C-Reduce), ddmin implementations, Dustmite, tree-sitter–based reducers, LLVM BugPoint, and older “delta” tools.
  • Several note that Shrinkray and others may be preferable for non-C/C++ languages, while C-Reduce remains very strong for C-family compiler bugs.

Git Bisect and Delta Debugging Context

  • Long subthread compares git bisect vs manual bisection:
    • Pro: essential for huge, fast-moving, non-linear repos with obscure regressions and incomplete CI.
    • Con: some find manual version-based bisection simpler, with fewer rebuilds and less “statefulness” in the repo.
  • C-Reduce is framed as a similar automation of a bisection-like search over program variants.