SWE-Protégé: Learning to Selectively Collaborate With an Expert Unlocks Small Language Models as Software Engineering Agents | ScienceToStartup | ScienceToStartup

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References (28)

[1]

The Art of Scaling Reinforcement Learning Compute for LLMs

2025Devvrit Khatri, Lovish Madaan et al.

[2]

CWM: An Open-Weights LLM for Research on Code Generation with World Models

2025Fair CodeGen team. Jade Copet, Quentin Carbonneaux et al.

[3]

Reinforcement Learning with Rubric Anchors

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"Unlock the potential of small language models in software engineering by selective expert collaboration, improving efficiency and performance."

Software Engineering AI•Score: 6•View PDF ↗

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SWE-Protégé: Learning to Selectively Collaborate With an Expert Unlocks Small Language Models as Software Engineering Agents

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References (28)

Founder's Pitch

"Unlock the potential of small language models in software engineering by selective expert collaboration, improving efficiency and performance."

Commercial Viability Breakdown

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Why It Matters

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Disruption

Product Opportunity

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SWE-Protégé: Learning to Selectively Collaborate With an Expert Unlocks Small Language Models as Software Engineering Agents

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References (28)

Founder's Pitch

"Unlock the potential of small language models in software engineering by selective expert collaboration, improving efficiency and performance."

Commercial Viability Breakdown

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