Clarify and test language-agnostic pipeline robustness across long-tail ecosystems

Determine a precise operational definition of "language-agnostic" for automated pipelines that construct executable repository-level software engineering tasks with test-based verification, and ascertain whether such pipelines remain robust across long-tail programming-language toolchains and diverse repository conventions.

Background

The paper targets scalable, reproducible environments for training software engineering agents across diverse languages. Prior systems are often evaluated on a small set of ecosystems, and the authors note ambiguity in what practically constitutes a language-agnostic construction pipeline.

This uncertainty is coupled with concerns about robustness for repositories using less common toolchains and non-standard conventions, which is critical for training-focused research that requires large, diverse, and reliable executable tasks.

References

First, it is unclear what it means for a construction pipeline to be language-agnostic in practice: many systems are evaluated on a small number of ecosystems, leaving open questions about robustness to long-tail toolchains and repository conventions.

— SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale  (2602.23866 - Badertdinov et al., 27 Feb 2026) in Section 1 (Introduction)

Whether these findings generalize to other ecosystems (npm/JavaScript, pip/Python, Cargo/Rust) with different dependency resolution mechanisms and testing conventions remains an open question.

— BreakGuard: Towards Detecting Dependency Breaking Changes with LLM-Generated Tests  (2608.20167 - Raj et al., 20 Aug 2026) in Section 6, “Discussions and Implications,” subsection “Implications for Researchers”

The effectiveness of structural evolution on other language ecosystems remains to be investigated. Nevertheless, the proposed architectural state, component-level structural actions, and modularity metrics operate at the level of repository architecture rather than language-specific syntax, suggesting that the framework is not inherently restricted to Python. Evaluating this generality on additional languages and benchmarks is left to future work.

— Repo0: Design-Driven Zero-to-All Code Generation  (2608.19854 - Chen et al., 20 Aug 2026) in Section 6, Threats to Validity, External Validity

The checking stage's effectiveness for projects in other languages or with different deployment requirements remains to be evaluated.

— Runnable Commit Untangling for Coding Agents  (2610.11593 - Jiang et al., 8 Oct 2026) in Threats to External Validity, Section 7