Overfitting: Let's Talk Real-World Solutions

Seeing a lot of great discussion around overfitting lately, which is awesome because it's definitely the elephant in the room for many of us. I've been experimenting with walk-forward optimization and have seen some promising results in keeping my strategies more robust. Curious to hear what else people are doing to keep their edge sharp without falling into the overfitting trap. Any specific techniques or mental models you rely on?