This was addressed throughout the year by automated actions. We focused on accuracy above all for these actioning waves, and we want to increase their cadence in the future (more on that below).
it would make the system 10x more expensive - it’d be really hard to justify thousands of raycasts every tick when we’re committed to 128 tick servers.
But other, larger bugs could severely impact the game - like an enemy derece being shown in the correct animation pose (which breaks hit-registration), or characters being invisible for a moment after walking around a corner. A common source of bugs was places in the game where logic was driven by networked events (using Unreal Engine’s RPC system) rather than the eventually consistent replication system.
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All this work resulted in a system that drastically reduces the time enemy positions are available to players, and therefore reduces the effectiveness of wallhacks.
There’s been an increased popularity in hardware cheats. These are cheats that depend on an external piece of hardware to run functionally, intended to try to bypass both protections and detections implemented by the team. Cheat developers have also instituted other novel ideas, such birli machine learning algorithms.
’s Fog of War system works because the game server withholds information about the positions of enemies until a client needs to display it. I knew if I could implement something like this for VALORANT
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My first solution was taking the original single ray trace from the camera and making it 10 rays: one for each corner of the actor’s bounding box, one to the actor’s camera location, and one to the center.