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DimensionFuck-U-CodeLet bad code have nowhere to hide – assess the legacy-mess level of your code and output a beautiful report.Context7Upstash's official server providing up-to-date third-party library docs for AI coding assistants
FMRS45 / 100 · D80 / 100 · B
Reliability5 / 2014 / 20
Security and permissions7 / 2016 / 20
Maintenance10 / 2017 / 20
Documentation11 / 2015 / 20
Setup experience12 / 2018 / 20
Best for
  • Developers and teams wanting a quick snapshot of their codebase health.
  • Users of AI coding assistants (like Claude Code) who want automated code review.
  • Projects needing multi-language support (14 languages).
  • Developers who appreciate witty and blunt feedback.
  • Developers using fast-moving frameworks/libraries worried about the AI suggesting stale code
  • Scenarios wanting zero-config documentation lookup
Not for
  • Teams requiring serious, professional, and emotionless code reviews.
  • Enterprise users needing deeply customizable analysis rules (e.g., custom metrics).
  • Organizations managing large-scale codebases that need more powerful enterprise tools.
  • Environments where profanity or informal tone is inappropriate.
  • Looking up internal/private codebase documentation (Context7 targets publicly published open-source libraries)
  • Cases needing very high coverage of obscure, niche libraries (coverage depends on what Context7's platform has indexed)
Required permissions
  • File system access to read code files for analysis.
  • Optional: Access to external AI APIs (e.g., OpenAI, Anthropic) for AI review.
  • Write access to configuration files (~/.fuckucoderc.json) and possibly MCP config files (e.g., .mcp.json).
  • Network access for updates or external API calls.
  • Usable without an API key (subject to a free-tier rate limit); CONTEXT7_API_KEY is an optional credential for higher quota
  • Read-only documentation lookup — no code execution or local filesystem access involved
Risks and side effects
  • AI review features send code snippets to external services (e.g., OpenAI), which may raise privacy concerns.
  • Analysis results may include false positives or missed issues, so should not be the sole quality metric.
  • Tool name and feedback style may be unprofessional for formal settings.
  • Misconfiguration can prevent the MCP server from starting.
  • The free tier has limited quota — high-frequency use may hit rate limits
  • Documentation content comes from Context7's platform index, so its accuracy and freshness depend on that platform's crawl cadence
Supported clientsClaude DesktopClaude Code, VS Code, Cursor, Cline, Amp
Tools22