Early Discoveries of Algorithmist I: Promise of Provable Algorithm Synthesis at Scale
Designing algorithms with provable guarantees that also work well in practice remains difficult, requiring both mathematical reasoning and careful implementation. Existing approaches that bridge worst-case theory and empirical performance, such as beyond-worst-case analysis and data-driven algorithm selection, typically assume prior distributional knowledge or restrict attention to a fixed pool of algorithms. Recent progress in LLMs suggests a new possibility: provable algorithm synthesis on the fly. To study this, we built Algorithmist, an autonomous researcher agent on top of GitHub Copilot that runs a multi-agent research-and-review loop, with separate stages for idea generation, algor...
| Authors | Janardhan Kulkarni |
|---|---|
| Primary category | cs.SE |
| Published | 23 March 2026 |
| Last updated at source | 23 March 2026 |
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