We’re excited to share some big news from the Qodo team (formerly CodiumAI). Today, we’re announcing a major financial milestone: a $40 million Series A funding round. This brings our total funding to $50M, and we couldn’t be more thrilled about the journey ahead. Most importantly, this new funding will enable us to accelerate our plans of integrating advanced algorithms into every aspect of software development, from spec and intent establishment, through code inception, testing and review, to deployment and beyond. We believe that to truly boost software development for complex enterprise codebases, AI must be leveraged to transform how we handle the development quality and apply enterprise-specific best practices and standards.

Generating confidence, not just code

Qodo was founded with the mission to help developers build high-quality software with confidence. As the generative AI landscape rapidly grows and transforms software development, ensuring the integrity and reliability of generated code is critical. Without safeguards in place for enterprise implementation of AI coding, there’s a risk of merging and deploying bad code that could lead to costly errors, downtimes, outages, unmaintainable code, and eventually decreasing productivity instead of boosting it. 

The stage is set for the processes of programming to evolve dramatically with AI empowering developers in every aspect of their work. At Qodo, we believe that code integrity will be at the center of this. Ensuring that AI-generated code meets the highest standards of quality and security is not just a priority—it’s a necessity for the successful enterprise adoption of AI technologies. During a recent webinar we hosted, we asked developers to define code integrity, and their responses reaffirmed and emboldened us in our mission: 

• Code that works as expected and aligned with developer intent
• Adheres to organization-specific best practices
• Rigorously tested against edge cases and happy paths
• Thoroughly reviewed and checked for bugs

We embarked on our code integrity journey in 2022, beginning by addressing one of the most painful but critical aspects of software development: testing. We saw an opportunity for AI to help developers more easily and comprehensively create and run unit tests, ultimately leading to the delivery of higher-quality code with fewer bugs. 

Qodo’s unit-test generation capabilities meet developers where they are—inside the IDE— enhancing their workflow with intuitive test creation and execution features. Rigorous testing and validation of generated code from the outset allows developers to concentrate on building features and tackling complex problems, assured that their code is dependable. This laid the groundwork for our broader vision, and other components of the development lifecycle—such as code review, code Q&A, documentation, functional testing and even task-aware code generation—benefit from this foundation. 

Code integrity designed for complex code

Since our inception, Qodo has evolved into a full, intelligent coding platform with code integrity at its core, offering AI-powered tools for writing, testing and reviewing code. We’ve built a foundation for quality-first code generation by leveraging advanced RAG and static analysis technologies for context-awareness, as well as pioneering flow engineering (see our AlphaCodium seminal work), a test-driven process for validating generated code. This comprehensive approach brings a new level of integrity to software development and AI-generated code in particular, enabling Qodo to tackle complex coding tasks that go beyond mere code completion and ensure that the code we create together is robust, reliable, and ready for production.

Imagine you’re refactoring a large application, reorganizing components and updating logic. During this process, you need to ensure that existing functionality remains intact. Integrated seamlessly into IDEs, Git platforms, and CLI, Qodo’s code integrity platform can assist throughout this entire workflow. From context-aware code suggestions and real-time test generation with qodo Gen to validating changes and catching issues with AI-powered code reviews with qodo Merge, to automated regression test generation that maximizes coverage with qodo Cover, Qodo helps you maintain quality and confidence throughout the refactoring process. 

A growing community

In the 18 months since we stepped out of stealth mode, over 1 million developers have used Qodo to improve their code quality. That’s a mind-blowing number, and we’re grateful to our amazing community of developers, partners, and early adopters. From individual developers to Fortune 100 companies, thousands of teams are now using Qodo for intelligent code generation, testing, code reviews, documentation and more, while prioritizing quality throughout the development lifecycle. 

We’re also excited to share that Qodo has been recognized by Gartner as a Cool Vendor in AI-Augmented Development and Testing for Software Engineering, as well accepted into AWS’s Generative AI Accelerator. These acknowledgments encourage us to continue exploring new possibilities and advancing AI-powered development to better support the developer community.

Looking Ahead

With this new funding, we’re gearing up for the next phase of our journey. Our focus remains on code integrity as we continue to expand our platform’s suite of AI-powered tools, develop new  capabilities, and support developers with innovative solutions that ensure robust and reliable code throughout the entire development lifecycle. 

Specifically, we are working on:

1. Expanding qodo Cover, Qodo’s test coverage agent, to handle more complex codebases and include advanced techniques like mutation testing, code coverage reporting, as well as and other metrics.
2. Advancing qodo Merge, Qodo’s agent for code reviews, to automatically learn from past pull and merge requests, and developer interactions, to enhance accuracy.
3. Evolving qodo Gen, Qodo’s IDE plugin for code and test generation, from a coding assistant into an advanced multi-agent system with deeper context awareness and capabilities.
4. We will continue to improve Qodo’s code integrity platform:
   1. Expanding foundational codebase indexing and awareness of broader organizational context to extract best practices and align code with developer intent. 
   2. Integration with a broad set of tools to support the heterogeneous enterprise environment.
5. Train and refine Qodo’s Codium models to consistently deliver exceptional outcomes, while offering customers the choice of the most fitting models from top foundational alternatives.

We believe that the future of software development lies in collaboration between humans and AI—with developers still in the driver’s seat. We hope to empower every development team, regardless of size, as they navigate the shift towards AI-native software development confidently and safely.

Thank you to our partners and investors

This round was led by Susa Ventures and Square Peg, with the participation of Firestreak Ventures and ICON Continuity Fund, along with our existing backers, TLV Partners and Vine Ventures also joining the round. We’re incredibly grateful for their support and belief in us. Investor support came because of their belief in our vision and team, but also due to the traction and adoption of our tools and platform among professional developers.