How I Make DeepSeek Work Closer to Claude Code in Practice
In a DEV Community post, a developer describes a mentor model workflow to make DeepSeek feel closer to Claude Code. The approach uses a stronger model to plan, supervise, debug, and review, while smaller or cheaper models handle bounded execution tasks in parallel. The author emphasizes that DeepSeek is not equivalent to Claude Code as a single model, but the workflow effect can be similar. Before assigning work, the stronger model defines small task units, files or outputs each executor may touch, acceptance checks, and things that must not change. This makes weaker models more reliable by removing the need to infer the whole strategy. Example tasks for DeepSeek include inspecting logs, drafting sections, analyzing recordings, converting articles, and modifying specific modules. The mentor checks command output, logs, stuck points, test failures, and render errors. The post highlights that the key is avoiding vague ownership of the entire project for smaller models.
Developers can achieve Claude Code-like reliability with cheaper models using a structured mentor workflow.