TDD-Agent: Test-Driven Reasoning for Code Generation
Large Language Models (LLMs) have achieved remarkable progress in code generation, yet ensuring correctness in complex, repository-level tasks remains challenging. Existing approaches often use generated tests as static post-hoc validators, which limits their ability to guide implementation and may introduce misleading feedback when the tests themselves are incomplete or incorrect. In this paper, we introduce TDD-Agent, which operationalizes the test-driven development paradigm for code generation. TDD-Agent first prompts the model to generate executable tests, encouraging it to clarify expected behaviors before implementation, and then performs iterative dual-track refinement over both t...
| Authors | Hongyue Yu, Kefan Li, Jiakun Li et al. |
|---|---|
| Primary category | cs.SE |
| Published | 17 August 2026 |
| Last updated at source | 17 August 2026 |
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