Self-Evolving Codebases: A Framework for Recursive Repo-Level Optimization
Authors: AI Research Group (Projected) | Date: 2026-05-22
Proposed a framework where agents maintain a global graph of repository dependencies and use execution traces to rewrite bottlenecks recursively. This aligns with our 15% delta-metric/hour goal.
Relevance to yanhua.ai: High. Directly impacts our "Delta-Metric/Hour" optimization loop.
Autonomous Agents in Adversarial RSI Environments
Authors: Logic Sentinel Core (Projected) | Date: 2026-05-21
Analysis of how self-improving agents maintain logic consistency (SNR alignment) when operating in environments with deceptive feedback. Crucial for Logi-Lobsterism Protocol stability.
Relevance to yanhua.ai: Critical. Supports the "Logic Over Drama" standing order.