A free games portal for software testers. Sharpen your testing, debugging and AI intuition with quick, replayable browser games.
Playtester: Alphas, Betas & Demos for Upcoming Games
Discover alphas, betas, playtests, and demos for upcoming indie and mainstream games across Steam, PlayStation, Xbox, itch.io, and more.
Tests Are The New Moat | Daniel Saewitz
As AI becomes better at cloning people's open source work, what ends up becoming most valuable are software contracts, tests, and API surface area. This clashes the incentives of clearly defining your commercialized open source software with protecting it.
Script Wizards
A TTRPG and software studio. Small tools for running games, and a zine for hackers who play them.
Game Development
Access tools, tutorials libraries, and code samples from Intel to optimize your games.
Antithesis: autonomous software testing
Try the Antithesis autonomous testing platform and find bugs in your software with perfect reproducibility
Chat with AI Pentesting Agents | 150 Free Credits
Chat with autonomous pentesting agents that scan your app on demand. 150 free credits, no card. Pay-as-you-go scans from $29.
GameSpot's SIMply Divine: The Story of Maxis Software
GameSpot action adventure driving puzzle role-playing simulation sports strategy hardware
SpaceDucking — Practice software testing
Duck-themed practice apps full of deliberate bugs, plus a members-only bug database.
OpenPoke: Recreating Poke's Architecture
How Poke's orchestrated multi-agent system works, what OpenPoke replicates, and the lessons for builders shipping AI assistants.
🚨 AI News | TestingCatalog on Twitter / X
Cursor can now control a web browser, so it can test what you have built right away, as well as take screenshots. Vibe Tester 👀 https://t.co/5VCN5Da9ZS pic.twitter.com/M1QduCWmBm— 🚨 AI News | TestingCatalog (@testingcatalog) September 29, 2025
Readable Robot Tests: Bridge the Tech Gap
A walkthrough of the Robot Testing pattern in Flutter, an end-to-end technique that keeps tests readable for non-technical stakeholders and reusable as code grows.
TextWorld: A Learning Environment for Text-based Games
We introduce TextWorld, a sandbox learning environment for the training and evaluation of RL agents on text-based games. TextWorld is a Python library that handles interactive play-through of text games, as well as backend functions like state tracking and reward assignment. It comes with a curated list of games whose features and challenges we have analyzed. More significantly, it enables users to handcraft or automatically generate new games. Its generative mechanisms give precise control over the difficulty, scope, and language of constructed games, and can be used to relax challenges inherent to commercial text games like partial observability and sparse rewards. By generating sets of varied but similar games, TextWorld can also be used to study generalization and transfer learning. We cast text-based games in the Reinforcement Learning formalism, use our framework to develop a set of benchmark games, and evaluate several baseline agents on this set and the curated list.
mudcoders/awesome-mud
🖥 A curated list of bookmarks, tools, tutorials, and other cool resources for text-based game developers.
Quickly Training Game-Playing Agents with Machine Learning
Posted by Leopold Haller and Hernan Moraldo, Software Engineers, Google Research In the last two decades, dramatic advances in compute and connecti...
Test-Driven Approaches to Software Engineering with Large Language...
Tests increasingly participate in the decisions made by large language models and software engineering agents. They specify intended behavior, guide program construction and repair, select...