Why Marketplace Operators Banned Their AI Manager from Writing Code and Switched to Claude Opus

A team managing AI agents for e-commerce marketplaces has publicly explained why they revoked code-writing privileges from their custom AI manager. The system, initially built on regular expressions and later converted into an autonomous agent, was placed under strict limitations after concerns emerged about uncontrolled code generation. After testing, the operators removed the agent entirely and rebuilt the integration using a single tool that exposes the complete Wildberries API while granting internet access without internal rate limits. They ultimately assigned actual code-writing tasks to Claude Opus instead of allowing the internal AI manager to produce code. The decision highlights growing caution around giving large language models direct access to production systems and codebases in operational environments. The team previously documented the evolution of the AI manager and promised further technical details on the new architecture.

HabrTranslated from Russian

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A development team responsible for AI-driven marketplace automation has detailed the reasons behind restricting their internal AI manager from generating code and instead routing coding tasks to Claude Opus.

The system began as a rules-based solution built on regular expressions for handling marketplace operations. It was later upgraded to an autonomous agent architecture, at which point the team introduced multiple layers of restrictions to limit its capabilities.

After further evaluation, the operators decided to decommission the agent completely. They replaced it with a new implementation that provides a single tool exposing the entire Wildberries API, grants direct internet access, and operates without consuming internal company rate limits.

The team stated that actual code-writing responsibilities were reassigned to Claude Opus because the internal AI manager could no longer be trusted to produce code safely within their production environment.

The case illustrates practical steps organizations are taking to mitigate risks when deploying AI agents in e-commerce and automation workflows, particularly around code generation and system access.

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