MirrorCode: AI can rebuild entire programs from behavior alone
AI models are rapidly improving at autonomous coding, as shown by benchmark progress and one-off demonstrations such as AI implementing a C compiler. However, existing coding benchmarks tend to focus on shorter tasks, and one-off demonstrations are hard to compare systematically because they often have some human guidance, and are not standardized or repeated across models. To address these challenges, we introduce MirrorCode, a long-horizon coding benchmark based on reimplementing entire software projects. In MirrorCode, AI agents must replicate the functionalities of an existing program, wit
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- LinkedLinked via unknownOrnith-1.0: self-improving open-source models for agentic coding →
- LinkedLinked via unknownReflections on Software Engineering in the Age of AI →
- LinkedLinked via unknownScarfBench: Benchmarking AI Agents for Enterprise Java Framework Migration →
- PossiblePossibly related (embedding) · 50%potpie-ai/potpie →
- PossiblePossibly related (embedding) · 55%NeuralInverse/neuralinverse →
- PossiblePossibly related (embedding) · 52%SandAI-org/MagiCompiler →
