MatchFixAgent: Language-Agnostic Autonomous Repository-Level Code Translation Validation and Repair
arXiv:2509.16187v3 Announce Type: replace-cross Abstract: Code translation transforms source code from one programming language (PL) to another. Validating the functional equivalence of translation and repairing, if necessary, are critical steps in code translation. Existing automated validation and repair approaches struggle to generalize to many PLs due to high engineering overhead, and they rely on existing and often inadequate test suites, which results in false claims of equivalence and ineffective translation repair. To bridge this gap, we develop MatchFixAgent, a large language model (L
The rapid advancement of large language models (LLMs) and the increasing complexity of software systems necessitates automated, robust solutions for code translation and validation.
Sophisticated readers should care because automated, language-agnostic code translation and repair agents significantly accelerate software development, migration, and maintenance, reducing technical debt and improving efficiency across industries.
The ability to reliably translate and validate code across programming languages autonomously reduces engineering overhead, potentially enabling faster adoption of new technologies and platform transitions.
- · Software Development industry
- · Companies with legacy systems
- · AI/ML companies specializing in code generation
- · Cloud migration services
- · Manual code translation services
- · Programming language training platforms dependent on language specificity
MatchFixAgent improves the efficiency and reliability of cross-language code migration and maintenance.
This could lead to a faster evolution of technological stacks and reduced friction in adopting new programming paradigms.
The enhanced interoperability of software components might foster more complex and integrated AI systems and digital infrastructure.
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Read at arXiv cs.LG