Use open weight models as your AI coding agent with Amazon Bedrock
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This article demonstrates how to use the open-source terminal tool OpenCode with Amazon Bedrock to create secure and cost-effective AI coding agents. By leveraging open weight models, developers can keep proprietary data within their AWS account while avoiding third-party API locks and per-seat subscription fees. The solution supports multi-model workflows, allowing users to assign specific models to different tasks such as planning, debugging, or code generation. Featured models include Moonshot AI Kimi K3 for deep reasoning, OpenAI GPT-OSS 120B for complex implementation, and NVIDIA Nemotron 3 Super 120B for high-throughput generation. Amazon Bedrock provides enterprise-grade security, compliance, and flexible pricing tiers like Flex for batch processing. The architecture enables automatic routing of sub-tasks to the optimal model based on complexity and latency requirements. Ethara.AI is cited as a production example using this setup for scalable multi-agent orchestration. This approach combines the customization of open weights with the managed infrastructure of AWS.
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