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Last May, I wrote a blog post titled As an Experienced LLM User, I Actually Don’t Use Generative LLMs Often as a contrasting response to the hype around the rising popularity of agentic coding. In that post, I noted that while LLMs are most definitely not useless and they can answer simple coding questions faster than it would take for me to write it myself with sufficient accuracy, agents are a tougher sell: they are unpredictable, expensive, and the hype around it was wildly disproportionate given the results I had seen in personal usage. However, I concluded that I was open to agents if LLMs improved enough such that all my concerns were addressed and agents were more dependable.
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As the founding member of the backend team, I worked to establish the underlying technical architecture that powers the persistent live components of the game. As the backend team grew, we built numerous C# microservices running in Kubernetes hosted on Azure. Viewing this as a long-term live-service game, we designed our systems with that in mind. Multiple region-aware matchmaking flows. An internal web portal for customer support. Player reporting and moderation systems. Cross-platform account linking. Login queues. Extensive load testing. The list goes on and on.
Вячеслав Агапов
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