About Qodo
Qodo, previously known as CodiumAI, claims to be a top-notch AI-driven development platform that aims to improve the coding experience through its suite of specific agents focused on various aspects of software development. These include test generation, pull request code reviews, coverage analysis, deep research, and workflow automation. Essentially, Qodo seeks to help developers write better code faster, and while I was sceptical at first, I must say there’s a fair bit of merit to this claim. The platform's strong emphasis on quality-first coding practices is evident, making it a potentially valuable asset for both individual developers and engineering teams looking to up their game.
One of the standout features of Qodo is its test generation capability. I found that the AI can create unit tests from your existing code with a surprising level of accuracy. This is a massive time-saver, especially for developers who often find themselves wrestling with writing tests after the fact. Pair this with the pull request code review agent, which automatically checks for code quality and adheres to best practices, and you’ve got a powerful combination that can significantly cut down on manual review time. However, it’s worth noting that the AI isn’t infallible; there are instances where it misses contextual nuances, which could lead to less-than-ideal suggestions.
Qodo operates on a freemium pricing model, although specifics about the tiers are a bit fuzzy at the moment. The free tier does provide access to the core features, which is great for casual users or those just dipping their toes into AI-assisted coding. However, for teams that need extensive features like deep research or advanced automation capabilities, they’ll likely need to cough up for a premium plan. In my experience, the pricing structure could be more transparent, as it’s not immediately clear what you get with each tier.
So, who should be using Qodo? If you’re part of a development team that churns out code at a rapid pace and often struggles with testing and code reviews, Qodo could be a lifesaver. However, if you’re a solo developer who prefers to have full control over your code without AI meddling, you might find Qodo a bit intrusive. Overall, while Qodo has its flaws, it certainly stands out in a crowded market of AI coding tools, and it’s worth considering for teams that prioritise quality in their coding processes.
Our Review
Verified 11 May 2026Reviewed by Delv Editorial, Delv Team
I recently got my hands on Qodo, previously known as CodiumAI, and I have to say, I approached it with a fair bit of scepticism. The idea of an AI tool stepping into the coding space felt a bit like letting a toddler loose with a box of crayons in an art studio. But after testing it out, I found that Qodo does have some genuinely useful features that can streamline the coding process.
The standout feature for me was the test generation tool. I often find myself bogged down with writing unit tests, and the thought of automating that process was appealing. I fed it some of my existing code, and to my surprise, the AI generated tests that were quite accurate. Sure, I had to tweak a couple of them, but the time I saved was significant. The pull request code review agent also impressed me. It caught several issues in my code that I might have missed, and it provided useful suggestions for improvement. This is a major advantage when you’re working under tight deadlines and can’t afford to let bugs slip through.
However, it’s not all sunshine and rainbows. I did encounter moments where the AI suggested changes that didn’t quite fit with the context of my project. This led to some frustrating moments where I had to double-check its recommendations, which is counterproductive when you're trying to speed up the coding process. Also, the lack of clear pricing tiers left me wondering what I might be missing out on if I decided to upgrade. Transparency in pricing is key, especially for teams that need to justify their budget.
When comparing Qodo to its main competitor, GitHub Copilot, I found Qodo to be more focused on the testing and review aspects of coding, whereas Copilot is more about providing inline suggestions as you type. If you’re looking for a tool that focuses on improving code quality post-writing, Qodo could be a better fit. But if you want real-time assistance while coding, Copilot might be the way to go.
In conclusion, Qodo is a solid choice for development teams that want to enhance their coding process and improve test coverage. Its automation features can genuinely save time, but it’s essential to keep an eye on the AI's suggestions to ensure they align with your project's needs. The freemium model is a nice touch for those just starting, but I do wish the pricing structure was clearer for those wanting to dive deeper. If you’re a developer or part of a team that prioritises quality and efficiency, give Qodo a shot. Just be prepared to do a bit of manual oversight now and then.
Getting started with Qodo
In this guide, you will learn how to set up Qodo and use its key features for code review and test generation. By the end, you will be able to improve your coding efficiency and quality.
Step 1: Sign up and set up
Step 2: Your first code review
Step 3: Generate tests
Pro tip
Use the “Settings” menu to configure Qodo’s preferences for code style and testing frameworks. This will help ensure that the generated tests align with your coding standards.
Common mistake to avoid
Many users forget to review the generated feedback thoroughly before implementing changes. Always double-check the suggestions to ensure they fit your code context.
The Verdict
In summary, Qodo is a worthwhile tool for development teams looking to enhance their coding processes with AI assistance. If you prioritise code quality and efficiency, this platform could be a great addition to your toolkit. However, if you prefer full control over your coding without AI interference, you might want to look elsewhere.
Best For
- Development teams focused on maintaining high code quality.
- Freelancers needing efficient test generation and code review.
- Startups aiming for rapid development cycles with quality assurance.
- Engineers collaborating on complex projects requiring automation.
- Developers working with legacy code who need assistance in testing.
At a Glance
Qodo is a quality-first AI coding platform that streamlines the development process with automated test generation and code review agents. While it offers valuable features for teams aiming to enhance code quality, the pricing structure could use some clarity.
Strengths
- +The test generation feature is a real time-saver, automatically creating unit tests that often require minimal tweaks, allowing developers to focus on writing quality code instead of getting bogged down in testing.
- +The pull request code review agent is impressive, as it efficiently checks for coding best practices, helping to catch potential issues before they make it into production.
- +Qodo's coverage analysis tool provides insightful feedback, highlighting areas of the codebase that lack sufficient testing, which is crucial for maintaining high code quality.
- +The deep research capability is a fantastic asset for developers needing quick insights into complex coding issues, allowing them to resolve problems more effectively.
- +The platform's collaborative features support team workflows, making it easy for multiple developers to work together without stepping on each other's toes.
- +The freemium model allows new users to test out core functionalities without any financial commitment, making it accessible for individual developers and small teams.
Limitations
- -The AI sometimes struggles with context, leading to suggestions that may not always align with the specific coding style or architecture of a project, which can be frustrating.
- -Pricing details are a bit vague, meaning it’s hard to gauge what features are available under different tiers, leaving potential users in the dark about whether it’s worth the investment.
- -The user interface can feel cluttered at times, making it challenging to navigate through all the features without a bit of a learning curve.
- -There’s a risk that developers could become overly reliant on the AI suggestions, potentially leading to a decline in coding skills if they don’t stay actively engaged with the coding process.
- -The platform could benefit from additional integrations with popular IDEs, as the current setup might not cater to all developers’ preferences.
Use Cases
- -Software development teams that need to accelerate their testing processes while ensuring high quality in their code.
- -Freelance developers looking for efficient ways to manage code reviews and testing without hiring additional resources.
- -Startups aiming to maintain rapid development cycles while ensuring their codebase remains robust and well-tested.
- -Engineering teams that need to collaborate on complex projects, benefiting from automated insights and reviews to improve workflow.
- -Developers who often work with legacy code and require tools that can assist in understanding and testing existing codebases.
