Show HN: AI Game Playtester

A developer has built an AI game playtester that reads game code, sets up scenes, sends inputs, and uses a vision model to detect bugs, enabling one-shot generation of games like Candy Crush and Crossy Road without glitches. The tool is a paid offering, and the developer shared it on Hacker News to solicit improvement ideas.

Hey everyone Wanted to show off a little side project I've been working on. A lot of people have been using AI to one-shot games, but they're often quite buggy - glitchy graphics, collisions aren't setup, or regressions in earlier levels. With an AI playtester in the loop, I've been able to one-shot games like Candy Crush or Crossy Road that would previously have bugs like cut-off UIs or stuck retries. The way it works basically goes like this: 1/ The playtester starts by reading the code to understand what its parent AI is asking it to play, and to decide what breakpoints, hooks and logging to add 2/ The playtester sets up the scene with the needed environment 3/ The playtester sends a sequence of inputs, then pauses the game 4/ The playtester then uses a vision model to understand the scene, queries the hooks it initially set up, and reads the logs to decide what to do next After doing a few input loops, it then determines if the game is working, the game is broken, or if the test failed. It is a paid offering so I'm not expecting anyone to try it out, but I wanted to share it nonetheless ^^. Lmk if you have other ideas on how you think it can be improved Comments URL: https://news.ycombinator.com/item?id=49475316 https://news.ycombinator.com/item?id=49475316 Points: 1 Comments: 0