Local AI is not a compromise, it's an unlimited AI.
The problem and the fix In game development there are times you will want to automate a task with AI for example ChatGPT or Claude but they have limits then they charge you for more credits and because of the rammagedon barely anyone has 32 GB of ram which is enough to run a 14B model. Now if you were to switch to opencode you get models like big pickle but they also have credits and limits that…
Developers often seek to automate tasks using AI in game development, such as with ChatGPT or Claude. However, these models have limitations and charge for additional credits. Due to hardware constraints, like the limited 32 GB of RAM in many systems, accessing larger models becomes difficult. Opencode offers a solution with models like Big Pickle, but they too impose credits and monthly limits. Yet, local AI provides a way around these restrictions, contingent on your available RAM.
To implement local AI, download OpenCode from its official website and select a suitable local model, such as Qwen 2.5 Coder, depending on your system's RAM. For example, 3B to 4B models are ideal for 8 GB of RAM, while 7B to 8B models suit 12-16 GB of RAM. Optimal performance is achieved with 7 to 27B models for 32 GB of RAM, and 35B+ models for 64 GB or more.
Boot the AI using Visual Studio Code or Codium, and configure your model within the JSON file. Connect your MCP server to OpenCode, verify the model's presence, and initiate the AI interface.
Despite potential errors like ECONNREFUSED, OpenCode offers a more flexible and cost-effective alternative to services like lemonade.gg, forgegui, and zeroscript, which impose usage limits and fees.
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