You Don't Need Public Tests to Generate Correct Code
Multi-agent systems are frequently employed for autonomous code generation, demonstrating strong utility in complex algorithmic problem-solving. Recent studies tackle the difficulty of producing functionally correct programs by leveraging simulation-guided planning and debugging, wherein language models step through execution traces to validate logic. Nevertheless, these methods rely heavily on human-authored public test cases to anchor the simulation and debugging cycles. Hand-crafting exhaustive input-output pairs creates a significant, labor-intensive bottleneck within the software development lifecycle. Since ground-truth examples are seldom accessible before actual implementation in ...
| Authors | Kaushitha Silva, Srinath Perera |
|---|---|
| Primary category | cs.SE |
| Published | 23 April 2026 |
| Last updated at source | 28 April 2026 |
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