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With proper game graphics to replace these example shapes, you re well on your way to building game environments that are as complex as any you might need, for a huge variety of games. If you can start to see shapes as containers or bounding boxes for game objects, you ll realize how valuable this chapter has been. The code used in PolygonEnvironment is predictable, but there s also a lot of it more than 600 lines the last time I checked. If you add some enemies, AI, menus, and a scoring system, you ll soon end up with an application class that s thousands of lines long, and that would be completely unmanageable. The solution is to break down these responsibilities into separate classes. That s easy enough to say, but how do you do it If you take the wrong approach, you can end up with folders and subfolders full of classes, and start to forget halfway through the project which classes do what or how they communicate with one another. Classes alone are not answer. Good planning could solve some of this, but if you re designing a new type of game for the very first time, you often won t know what to anticipate. Game designers like to work on the cutting edge, and the inspired thrill of trying something new in the middle of a project is what drives innovation and keeps games fresh.

There is a technical term for trying lots of new stuff until something works. Game designers call this iteration. Iteration, as a design style, means trying something new, observing its effect, and then using what you ve learned to try again. That s almost always how game designers work. So, the next time your boss asks you to describe your work methodology, you can reply with confidence, I employ the iterative process. It will sound much better than saying, I make it up as I go along.

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The implementation of the Infinite Data pattern is largely dependent on the server implementation because the server is responsible for generating the data. The client has the responsibility of creating the correct task data and associating the results with the submitted task data. The following points are the important highlights of the Infinite Data pattern: The pattern is used to generate data on a piecemeal basis. The pattern is useful in those situations where the executing task can generate data as it does its work. For example, when using a relational database that supports piecemeal results, it is necessary to use asynchronous callbacks. Synchronization and background threads or processes need to be used. It is important to understand concurrency issues so that deadlocks do not occur. Sending and receiving XML messages, and associating data types and tasks, requires a certain amount of automation. XML schemas are very helpful. Even though the preferred format is XML, a format such as JSON would be useful when implementing this pattern because quite a bit of serialization and marshaling is involved.

The following are some of the guides available on the website at http://msdn.microsoft.com/practices/:

So, yes, you can plan, but you also need to plan for the unexpected. And expect that the unexpected will become the plan! There s certainly no single solution to this, but the next section suggests a good one.

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