The open-source AI coding tool ecosystem is rapidly maturing, as evidenced by this detailed configuration update for OpenCode integrated with DeepSeek. The author expanded the skill set from 6 to 12, introducing features like spec-workflow for lightweight specification-driven change management and verify-with-docs to prevent API hallucination by checking against the latest documentation before coding. This iteration pattern—moving from basic usability to refined, production-ready functionality—is characteristic of the current wave of AI-assisted development tools. For developers, these improvements mean fewer coding errors, better adherence to project specifications, and more reliable AI-generated code. The focus on git-tracked workflows and dependency verification shows a shift toward integrating AI tools deeply into existing development practices rather than treating them as standalone assistants.
This article details the iterative improvement of an OpenCode and DeepSeek configuration, expanding skills from 6 to 12 and adding features like spec-driven workflows and dependency verification. It reflects the broader trend of open-source AI coding tools becoming more sophisticated and production-ready.