In the field of AI programming, there are already several large models and tools available for us to choose from. Common options include the OpenAI series models, Claude 3.5 Sonnet, and some cost-effective models like DeepSeek V3.

This article will combine a video demonstration to detail the performance of DeepSeek V3 in front-end and back-end project development under the “agent” feature of Roo Cline, as well as a comparative evaluation against Claude 3.5 Sonnet and OpenAI o1 models.

0:00 – Introduction to DeepSeek V3

1. Overview of DeepSeek V3

DeepSeek’s official announcement mentioned that DeepSeek V3 has outstanding performance in algorithmic code scenarios, and its performance in engineering code is also very close to mainstream large models. It scores slightly higher than some competitors on Codeforces, but lower than Claude 3.5 Sonnet on SWE Bench.

This indicates that DeepSeek V3 is very suitable for solving algorithm problems and programming challenges. However, if your project focuses on front-end or engineering development, Claude 3.5 Sonnet or OpenAI o1 remains an important programming tool.

2. Cost-Effectiveness of DeepSeek V3

From some practical experiences, DeepSeek V3’s API pricing is quite competitive. Even after multiple rounds of large token conversations, the costs remain manageable, making it a cost-effective and useful choice for individual developers or small teams.

2:48 – Comparison of Roo Cline and Cline Features and Settings

1. What are Cline and Roo Cline

• Cline: A programming assistant tool that provides multi-agent and multi-tool support, capable of interfacing with various large models to achieve processes from file generation to automatic fixes.
• Roo Cline: A branch of Cline.

2. Feature and Setting Comparison

• Automatic Execution: Roo Cline has a more intelligent agent feature that can autonomously determine whether a file needs modifications, generating, modifying, and saving with one click.
• Update Frequency: According to some testers, Roo Cline’s update speed is currently faster than that of Cline, allowing for more new features in a short time.
• Customizable System Instructions: Both Cline and Roo Cline support providing more contextual information to the AI through “system instructions” to generate more accurate content.

6:05 – Generating HTML Pages with Roo Cline and DeepSeek V3

1. Consistent Prompts, Varied Results

The video demonstrated the process of using the same prompts to generate HTML pages with Claude 3.5 Sonnet and DeepSeek V3, showing that:

In actual development, if you have higher requirements for page interaction or design, DeepSeek V3 can meet those after multiple iterations. If you only need to quickly generate a simple prototype, Claude 3.5 Sonnet performs better.

2. Roo Cline’s Agent and Automation Capabilities

When combined with DeepSeek V3, Roo Cline can create, modify, and save files in a single conversation, acting like an “intelligent programming partner.” If errors are encountered in the generated page, Roo Cline will automatically “diagnose” and allow DeepSeek V3 to further fix it, making the entire process highly efficient without manual confirmation.

7:40 – Developing Sound Generation Applications with DeepSeek V3 and ElevenLabs

1. Introduction to ElevenLabs API

ElevenLabs provides a voice and sound generation API that allows users to quickly synthesize corresponding audio files through text prompts. With its latest feature updates, it supports generating audio content ranging from 0.5 seconds to 22 seconds, with excellent quality.

2. Project Requirements and Tech Stack

In the video demonstration, I used NestJS + Node.js + SQLite to build the backend, calling the ElevenLabs API to batch generate sound effects; the frontend used pages and UI automatically generated by DeepSeek V3.

• Batch Generation: Enter prompts line by line in the text box to automatically generate multiple sound effect files.
• History Records: Through SQLite or local storage, users can directly view and download historical generation records on the page.
• Automatic Iteration: DeepSeek V3 can quickly generate project structures and fix issues based on error logs, saving a lot of manpower.

3. Cost Analysis

As mentioned earlier, the cost of using DeepSeek V3’s API is not high. Even with multiple rounds of conversation and a large number of tokens, it only costs a few cents, far lower than the Claude 3.5 Sonnet model.

13:49 – RepoPrompt Enhancements: OpenAI o1 Model Solving Issues DeepSeek V3 Couldn’t

Sometimes DeepSeek V3 may still fail to resolve all bugs or logic issues in complex scenarios. In the video, I demonstrated how to use RepoPrompt to batch integrate generated project files and prompts, then hand them over to OpenAI o1 model for processing.

• RepoPrompt’s Role: It consolidates all project files or context into one XML, providing it to the OpenAI o1 model, which can solve issues that DeepSeek V3 repeatedly modifies but cannot completely fix.
• Advantages of OpenAI o1 Model: Often able to accurately identify the root of the problem and implement correction strategies based on prompts.

16:27 – Conclusion: Advantages of Combining DeepSeek V3 with Roo Cline and Usage Recommendations

1. High Cost-Effectiveness For individual developers and small teams, the cost of DeepSeek V3 is much lower than that of other large models, yet it can still complete most programming and generation tasks.

2. Powerful Automation Support from Roo Cline The agent features of Roo Cline not only allow DeepSeek V3 to autonomously generate and modify files but also automatically discover and fix errors without requiring frequent manual confirmations from developers, significantly improving work efficiency.

3. Comparing Differences between Claude 3.5 Sonnet and OpenAI o1

• Claude 3.5 Sonnet: Stable performance in engineering code, balancing both front-end and back-end;
• OpenAI o1: Excellent one-time solutions when integrated with RepoPrompt, suitable for complex bug fixes due to higher costs;
• DeepSeek V3: Outstanding algorithm/programming capabilities, clear pricing advantages, and capable of completing most common development tasks with the support of automation agents.