AI Gaming Festival

The AI Game Festival is a showcase to educate people on how AI is being used to make games. AI is not only visual (artwork and assets), its behind the scenes too ranging from programming ,testing and debugging to even sound effects.

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Self Hosting Your Game With and Without A Distribution Platform

September 4 - blackmage | 4 Comments

RSVP Here For The Session[www.glitch.fun]

Traditionally, games were distributed through an "app store." The most popular ones are:

Steam
Epic
Apple
Android

Yet there has been a shift in game development, where more games use a library called ThreeJS, which produces a lot of browser games that can be distributed online without an app store. Developers have started to put games on their own websites.

Hosting a game on your website has significant benefits, from first-party data and accurate attribution to no steep store fees. It also has the drawback of having to host it on your own, especially around user acquisition and scale. This talk will cover both sides of web game release.

In this session, if you want to host your own game, this will teach you:

User/Player Acquisition & Marketing
Cross Device Tracking and Analytics
Hosting, Scaling and Hosting Costs
Conversion API Optimization
Monetization Strategies
Retention Strategies

Choosing the Right AI Models for Game Development

September 4 - blackmage | 6 Comments

RVSP Here To Watch Live Or The Recording After[www.glitch.fun]

AI coding models are changing rapidly, but choosing the right model for game development isn't as simple as picking the model with the best benchmark score.

Different models have different capabilities when it comes to understanding game logic, writing code, debugging, working with large codebases, and completing complex tasks. A model that performs well on a single task may struggle when asked to repeat that task dozens or hundreds of times.

Vladimir Glazachev, CEO of Rosebud AI and an ML engineer with years of experience working with AI systems, will explore how to evaluate coding models specifically for game development.

What should you actually test when evaluating an AI model?
How do you compare models for different game development tasks?
How do you push models beyond their default capabilities?
How do you test whether a model continues performing over repeated tasks?
What should developers expect from AI coding models as they continue to evolve?

Learn how to evaluate AI models based on what actually matters when building games, rather than simply relying on benchmarks, hype and misinformation.