Why I Built a Tiny Repeated-Game Poker Analysis Tool

Short summary

Author used AI tooling to implement a Python toolkit for analyzing poker strategy in repeated games beyond single-hand equilibrium. The tool evaluates strategy commitments and computes exact best responses across repetitions, demonstrating game theory concepts with code. Case study in how AI coding assistance enabled complex research projects previously stuck at the paper-and-pencil stage.

• •New open-source Python tool for repeated-game poker analysis with code examples
• •AI tooling was critical enabler—author could finally implement what was previously stuck on paper
• •Deep technical dive into game theory: commitments, adaptation deadlines, detection thresholds

Generated with AI, which can make mistakes.