Subject: Proposal: “Self-Balancing Compiler” — A New Architecture for Adaptive Optimization Dear Research Team, My name is Maya Daivajna, and I am developing a new concept I call a Self-Balancing Compiler. This compiler architecture is designed to dynamically tune and rebalance its optimization pipeline during compilation, based on real-time code patterns, resource constraints, and predicted runtime behaviour. Unlike traditional static optimization passes, this design introduces a feedback-driven balancing layer that: Analyzes intermediate representations in cycles rather than linear passes Reorders, merges, or drops optimization steps automatically Uses lightweight heuristics for continuous adaptation Produces binaries that are variable-profile optimized (IO-heavy, CPU-heavy, memory-sensitive, etc.) Offers a foundation for building self-correcting, self-profiling, and architecture-aware future compilers I believe this direction can open new possibilities in compiler technology — especially for heterogeneous systems, edge devices, and performance-sensitive workloads. I would welcome the opportunity to discuss this concept further or collaborate on a research exploration. Please let me know if your team would be open to reviewing a short technical brief. Thank you for your time and consideration. Warm regards, Maya Daivajna Sent from my iPhone
