What is the best vibe coding tool on the market? Claude, Copilot, Cursor, Windsurf, Cline, RooCode

Key Concepts

• Folder-level coding assistants vs. Full system assistant
• Friction in coding workflows
• VIP Coding Olympics: Standardized testing of coding tools
• Prompt engineering and tool integration
• Cost per message/token
• User interaction count as a metric
• Quality assessment: Functionality, design, and "going above and beyond"
• Normalization and combined scoring

Desktop Commander vs. Other Coding Tools

• Main Point: Desktop Commander is positioned as a full system assistant, unlike folder-level coding assistants like Cline, Corser, and Windsor.
• Details:
  • It manages files, searches within them, edits, creates, rewrites, summarizes, and converts files.
  • It runs processes like video encoding, image editing, and server configuration.
  • It assists with coding tasks like installation, setup, configuration, debugging, and opening applications.
• Argument: The creator argues that Desktop Commander reduces friction compared to tools like Windsor, even leading to the cancellation of a Windsor subscription.
• Evidence: A Discord user's experience is cited, where other tools failed to perform when Claude was unavailable, leading them back to Desktop Commander.

VIP Coding Olympics: Methodology

• Goal: To compare seven coding tools (Cline, Corser, Windsor, GitHub Copilot (via Visual Studio Code), Root Code, Claude Code, and Claude Desktop with Desktop Commander) using a standardized prompt and model.
• Process:
  1. Prompt Sequence: An eight-prompt sequence was designed, including initial instructions, browser opening, error fixing (optional), readme generation, and GitHub publishing.
  2. Environment: The same prompt was given to each tool, using the same model (Claude).
  3. Metrics: Performance was evaluated based on cost, user interactions, time, and quality of the output.
  4. Data Collection: Notes were taken during the process and extracted into a spreadsheet for analysis.
• Example Prompt: The prompt involved creating an application to compare image generation evolution from OpenAI models (DALL-E 2, DALL-E 3, and a hypothetical "new image one" from 2025), allowing side-by-side comparison of images generated from the same prompt.

Results and Analysis

• Disqualifications: Cline and Root Code were disqualified for failing to achieve the goal within a reasonable number of messages and at an acceptable cost. Cline's cost was exorbitant ($2.60), while Root Code also failed after spending $0.60.
• Cost Analysis:
  • Visual Studio Code (GitHub Copilot): $0.03 per message (based on a promotional offer).
  • Corser: $0.04 per message (based on a subscription).
  • Windsor: $0.03 per message (based on a subscription).
  • Claude Code: $0.01 per message (based on a Max subscription). The test used API keys, costing $0.60 for the entire flow.
  • Claude Desktop (with Desktop Commander): $0.01 per message (based on a Pro license). The test cost $0.08.
• User Interactions: Corser required the fewest interactions (8), followed by Windsor (9), and Claude Desktop (13). Visual Studio Code required the most.
• Quality Assessment: A 15-point quality metric was used, evaluating factors like achieving the result, design quality, API key handling, image saving, license file creation, and GitHub publishing.
• Key Findings:
  • Visual Studio Code (GitHub Copilot) performed better than expected but was hindered by excessive confirmation requests.
  • Claude Code achieved the lowest cost ($0.06 with Max subscription).
  • Claude Desktop (with Desktop Commander) excelled in quality, achieving a score of 10/15. It automatically saved the API key, showed loading times, and successfully published the application to GitHub Pages without requiring manual clicks.
• Notable Quote: "I didn't see the code and I ended up with a link to a working product that I can share with others. How mindblowing is that?" (referring to Claude Desktop's GitHub publishing capability).

Winner and Final Scores

• Normalization: User interactions, cost, and quality scores were normalized to a 0-1 scale.
• Combined Score: The normalized scores were summed and divided by three to obtain a combined score.
• Results:
  • Bronze: Windsor
  • Silver: Claude Code
  • Gold: Claude Desktop with Desktop Commander
• Transparency: The creator emphasizes the transparency of the testing process, providing links to unedited videos and encouraging viewers to replicate the tests and share their findings.

Demo of the Winner

• Functionality: The demo showcases the application created by Claude Desktop, comparing image generation from DALL-E 2, DALL-E 3, and a new model.
• Features: The application displays loading times, revises prompts for better results (DALL-E 3), and hides the API key.
• Example: The application generates images of a "neon sign good morning" using the different models, highlighting the evolution of image generation quality.

Conclusion

• Main Takeaway: Claude Desktop with Desktop Commander emerged as the winner of the VIP Coding Olympics, excelling in quality and achieving a competitive cost.
• Call to Action: Viewers are encouraged to subscribe, like, share, and support the channel. Desktop Commander remains open source and free, but viewers can support the project through GitHub Sponsors, Patreon, or other means.