Report Information

  • Report Date: November 2, 2025
  • Report Author: [Your name or username]
  • Project Overview: This report summarizes the activity log of using the Claude Code tool to modify the front end of the aifuns.xyz website on an Ubuntu server on November 1, 2025, including usage duration, number of requests, limit management, and a related cost analysis. The report is compiled from the actual operation logs and performance data.

Introduction

On November 1, 2025, this project aimed to use the Claude Code tool to optimize the front-end interface of aifuns.xyz. The tool was deployed in an Ubuntu server environment, supporting efficient code generation and iteration. With the assistance of the Sonnet model, the entire process achieved rapid development iteration. Although usage limits were encountered, reasonable waiting and switching strategies ensured the continuity of the project. The operational details, challenges, and solutions are described below.

Operational Details

Usage Environment and Model

  • Platform: Ubuntu server
  • Tool: Claude Code (Max 5x heavy-usage mode)
  • Model: The Sonnet model was used throughout, ensuring high-precision code generation and response quality.
  • Task Focus: Front-end modifications, including interface layout adjustments, interaction logic optimization, and responsive design implementation.

Timeline and Usage Intensity

Operations began at 10:00 AM and ended at 5:00 PM, for a total of approximately 7 hours of active usage time.

  • 10:00 AM to 2:00 PM (4 hours): Continuous heavy usage, totaling 400 requests. This phase focused on refactoring core front-end components and benefited from the high throughput of the Max 5x mode.
  • 2:00 PM: Reached the 5-hour cumulative limit of Max 5x (actually triggered after just 4 hours of use, presumably a system-reserved buffer). Requests were paused.
  • 3:00 PM: After waiting 1 hour, the limit refreshed automatically and operations continued.
  • 3:00 PM to 5:00 PM (2 hours): An additional 200 requests were made, completing the remaining optimization tasks.

Total number of requests: 600. The entire process did not interrupt the core development workflow, demonstrating the reliability of Claude Code in high-intensity scenarios.

Concurrent Usage Observations

During the above process, the same account was used to log into the web version of Claude for auxiliary queries (such as code verification and documentation reference). Observations showed that web usage was not affected by the Claude Code limits. This phenomenon is similar to the independent quota mechanism of the Codex tool, indicating that the two do not share a resource pool. This provides convenience for multi-endpoint parallel development and avoids the bottleneck of a single tool.

Performance Data Analysis

To visualize usage patterns, the following appendix contains key metric charts:

  • Figure 1: Traffic and Response Time Trends (time series chart, 08:00-13:00). This chart shows the dynamic changes in request traffic (blue bars) and response time (green curve, orange curve). Starting from 10:00, traffic peaked between 11:00-12:00, and response time remained stable within 10 seconds, reflecting the efficiency of the Sonnet model. After the afternoon limit, the curves leveled off.
  • Figure 2: Token Consumption Distribution (pie chart and table). Total token consumption was approximately 86,604 (75.1% share), mainly used for Chinese tokens ($13,522, 31.3%). Among the Top 10 users, the admin account dominated consumption (34.67M tokens, $26.6357), followed by ericsun (9.41M tokens, $1.343).

These data reflect the balance of resource utilization, with the total cost kept within the expected range.

Cost Summary

  • Total Requests: 600
  • Total Cost: $26 (approximately $0.043/request)
  • Cost breakdown:
     
     
    Category Consumption Cost ($) Share (%)
    Chinese tokens 13,522 5.435 20.9
    English tokens 9,405 4.004 15.4
    Other tokens 86,604 16.604 63.9
    Total - 26 100
     

Cost efficiency was high, and the pricing model of the Sonnet model supported economical development.

Conclusion and Recommendations

This use of Claude Code successfully completed the front-end modifications of aifuns.xyz, verifying its applicability in an Ubuntu environment. Although the Max 5x limit introduced a brief interruption, project progress was ensured through a 1-hour wait and supplementation from the web version. Future recommendations:

  1. Monitor cumulative usage time to avoid triggering peaks.
  2. Explore multi-account strategies to further isolate resources.
  3. Periodically review the cost model to optimize the application of advanced models such as Sonnet.

If further data analysis or an expanded report is needed, please provide additional instructions.

Appendix: Charts

Figure 1: Traffic and Response Time Trends

[Time series chart (08:00-13:00, including blue bars, green/orange curves)]

Figure 2: Token Consumption Distribution and Top 10 Users

[Pie chart (Chinese/English/Other tokens) and Top 10 table (admin/ericsun, etc.)]

This article has a sequel:"Claude Code Usage Report (Continued)——Further Discussion and Reflections on AIFUNS and Pricing Logic" (click to go directly)

Note: This report was generated by Grok 4.