Qodo AI Full Development Pipeline vs Sonnet 3.5, GPT4o, Gemini Advanced
Tired of switching between your IDE and browser for AI code help? Check out Qodo!
In this episode, Rod introduces Qodo, an innovative AI tool designed to enhance code generation and quality for developers. He explores Qodo's unique features, demonstrating its capabilities in real-time coding scenarios. The conversation delves into Qodo's differentiation from Claude Sonnet 3.5, OpenAI GPT4o, Google’s Gemini Advanced, its functionality, and a comparative analysis with popular alternatives like ChatGPT and Claude. The episode concludes with insights on who should consider using Qodo and its potential benefits for various types of developers.
Takeaways
Qodo aims to generate confidence, not just code.
The tool emphasizes quality and code integrity throughout the development pipeline.
Qodo provides features for generating pull request descriptions and code reviews.
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AI Product Engineer Show: Qodo Review
Rod: Hello and welcome back! In today's AI Product Engineer Show, we're reviewing a new AI tool called Qodo.
What is Qodo?
Rod: Let's dive in and take a closer look! I'll share my screen to show you.
Rod: As you can see, Qodo's motto is "Generate confidence, not just code." It focuses on quality-first AI code generation to help busy developers write, test, and review code.
Rod: Now, you might be thinking, "Hey, this sounds a bit like GitHub Copilot or those other AI tools like ChatGPT, Claude, or Gemini." And you'd be right! There are many AI tools out there. So, what makes Qodo different?
What Sets Qodo Apart?
Rod: Well, Qodo focuses on code integrity and quality. It aims to improve the entire development pipeline – from code generation and testing to the overall planning experience. It's about the whole development lifecycle, not just writing lines of code.
Rod: This is where we start to see a real difference between Qodo and other tools. For example, Copilot doesn't help you prepare pull requests or do testing. Qodo can even generate descriptions for pull requests, and reviews, and highlight any issues in the code. That's something your typical code generation tool doesn't offer.
Rod: You might be thinking, "But I can do that with ChatGPT or Claude by copying and pasting." Sure, you can, but let's see how Qodo makes it easier and more efficient.
Getting Started with Qodo
Rod: We'll be using PyCharm for this demonstration. Let's get started by installing the latest version of Qodo.
(Rod navigates through the installation process)
Rod: We'll go with PyCharm Professional since we're working on a Python project.
(Rod continues the installation process)
Rod: It seems like installing through GitHub might be smoother than using Google.
Rod: Now, we can see the Qodo chat interface on the left side of PyCharm. We also have the PyCharm overview and our current file.
Rod: It provides instructions on how to generate tests with Qodo. We can use commands or the logo to generate tests.
Testing Qodo's Capabilities
Rod: Let's try it out on this open-source Python project I'm working on. I'm modernizing a wrapper for FFmpeg (a popular library for video manipulation). My task is to migrate this project from Python 2.7 to a more modern Python version.
Rod: Let's see if Qodo can help generate some best practices for this project.
(Rod tries out different Qodo commands)
Rod: Hmm, I'm not sure where Qodo is generating the best practices. Is it a separate file or comments? Also, I don't recall specifying which LLM I want to use. Is it Qodo's own LLM or a third-party one?
Rod: Let's try something else. I'll ask Qodo to improve this "class.node."
(Rod inputs the command)
Rod: This class creates a directed acyclic graph, which is common in data pipelines. Let's see what Qodo recommends.
Rod: It's already proposing some recommendations! It suggests replacing list concatenation with plus equal, using append, adding type hints, and caching the hash.
Rod: Some of these are changes I would have made anyway, but it's interesting to see Qodo identify them. Now, the question is, how do these suggestions compare to what other LLMs would recommend? Let's find out!
Qodo vs. Other LLMs
Rod: I'll copy and paste this class into ChatGPT, Claude, and Gemini and ask them for suggestions to modernize the code. I'll specifically ask for the function, method, and line number for each suggestion to make it easier to compare with Qodo.
(Rod runs the experiment)
Rod: It seems like ChatGPT is not only providing suggestions but also specifying the function or method being modified and the line number. Let's see what the other LLMs do.
Rod: It looks like ChatGPT is suggesting replacing "object" in the inheritance on line 10. But if we look closely, line 10 is an empty space! So, while the suggestion is valid, the line number is incorrect.
Rod: Claude is also generating suggestions quickly, but it seems to be getting the line numbers wrong as well.
Rod: Gemini Advanced is also providing similar results to Qodo, with the added benefit of line numbers. This is a huge advantage, especially for large projects, as it saves us from constantly switching back and forth.
Rod: Let's try generating docstrings with Qodo.
(Rod generates docstrings using Qodo)
Rod: Interestingly, Qodo suggests including a "not implemented error" in the docstring, which wasn't there originally.
Rod: Now, let's see how the other LLMs handle docstring generation.
(Rod generates docstrings using ChatGPT, Claude, and Gemini)
Rod: ChatGPT seems to provide a partial implementation, while Claude nicely preserves the visual representation we had in the original code. Gemini, on the other hand, ignores it completely.
Rod: It's worth noting that Qodo provides very fast response times. We don't even know which model it's using, whether it's proprietary or open source.
Rod: One advantage of Qodo is that it provides these quick autocomplete suggestions, likely using the best possible prompts for the task. With the other LLMs, we have to spend time crafting the perfect prompt, which can be time-consuming and inefficient.
Rod: Let's ask Qodo to explain what this entire class is doing.
(Rod inputs the command)
Rod: Qodo provides a detailed explanation, including key functionalities and a visualization. Let's try generating the docstring for the entire file now.
(Rod generates the docstring)
Rod: Qodo generated a docstring that covers different methods, but it's more concise and doesn't include the diagram. Whether that's better or worse depends on your preferences.
Who Should Use Qodo?
Rod: So, who is Qodo for, and when should you use it? Let's go back to their website.
(Rod navigates to the Qodo website)
Rod: Qodo highlights its advantages over ChatGPT in areas like testing. We didn't write any tests today, but testing requires a deep understanding of the project, and Qodo seems to handle that well.
Rod: Qodo also eliminates the back and forth between the IDE and the browser, making it more efficient. And you don't need to be a prompt expert to get good results.
Rod: With Qodo, you can focus on the problem, not on crafting the perfect prompt.
Rod: The best part? You can start using Qodo for free! Just go to Qodo.ai, download it for PyCharm or VS Code, and accelerate your development process.
Rod: Even if you don't write tests, Qodo can still help with other aspects of software engineering, like generating docstrings and refactoring code.
Conclusion
Rod: Have you heard about Qodo? Have you tried it? Let me know in the comments!
Rod: This is the AI Product Engineer Show, where we're building the AI products of the future. Until next time!