One developer's 60-day audit of 12 tools used to run Claude Code in production

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A solo developer working on a 118,000-line ERP system spent 60 days evaluating the tooling built around Claude Code, Anthropic's AI coding agent. The audit covered 12 tools including project-level CLAUDE.md files, persistent user-scoped memory, project rules, and reusable skills. Each tool was assessed on whether it was kept, discarded, or remains contested, based on measurable impact on daily coding sessions. Key findings include that persistent memory and structured project rules significantly reduced repeated errors across sessions, while one tool was dropped entirely due to prohibitive token costs. The review focuses not on prompts themselves but on the surrounding infrastructure that shapes how the AI agent loads context, constrains output, and handles interruptions.

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