competitive-programming

CP-Agent presents a calibrated risk-controlled approach for feedback-driven competitive programming using large language models, achieving significant improvements on benchmarks without parameter updates.

GrandCode is a multi-agent reinforcement learning system that achieves grandmaster level in competitive programming, consistently beating all human participants in live Codeforces contests using a novel Agentic GRPO method.

Solvita is an agentic evolution framework that enables continuous learning in code generation through reinforcement learning updates to graph-structured knowledge networks, achieving state-of-the-art performance on competitive programming benchmarks.

This profile interviews Cognition AI co-founder Scott Wu, exploring his background as a competitive programming prodigy and the rapid commercial success of his AI coding agent Devin, which has reached a $445 million revenue run rate and a $25 billion valuation.