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On Tue, 1 Oct, 12:03 AM UTC
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Qodo raises $40M to advance AI-driven code integrity solutions - SiliconANGLE
Israeli artificial intelligence code-checking startup Qodo - previously known as CodiumAI Ltd. - announced today that it had raised $40 million in new funding to further develop its platform for improving code integrity and reliability. Founded in 2022, Qodo's service focuses on enhancing the quality and reliability of software development through the use of AI and a suite of tools that integrate into the software development lifecycle. The company's platform is designed to assist developers by providing intelligent code generation, testing, reviews and documentation. The service seeks to address the issue in the software development landscape where the rise of AI in code generation is rapidly being embraced due to its advantages but has also seen a rise in concerns around code quality and a lack of necessary safeguards for successful enterprise-level implementation. Qodo argues that as more code is AI-generated, ensuring reliability becomes even more critical to prevent potential bugs that could impact millions of users. Qodo takes an approach to AI-empowered software development that places a strong emphasis on code quality and reliability. The company's platform seamlessly integrates agentic AI into the environments where developers work, including popular Integrated Developer Environments, version control platforms such as Git and Command Line Interfaces. Qodo assists with intelligent code generation, testing, thorough reviews and documentation to prioritize quality throughout the development lifecycle. "As we shift towards AI-native code development, success won't come from rushing to automate everything," Itamar Friedman, chief executive officer and co-founder of Qodo, explains. "Instead, we need to carefully integrate AI tools to enhance human expertise, focusing on quality and adaptability rather than just speed." "Through comprehensive testing and reviewing, embedded into each stage of the software development lifecycle, we will be able to rely on AI agents as an integral part of the team, dramatically reducing fear of bugs or hallucinations," Friedman added. Since launching its TestGPT platform in March 2023, Qodo has seen strong growth and is now being used by over one million developers. Notable companies using Qodo's services include Intel Corp., Nexxen Technologies Inc., Melio Payments Inc., Percepto Robotics Inc. and Loft Holdings Inc. Susa Ventures and Square Peg Capital Pty. Ltd. co-led the Series A funding round, with Firestreak Ventures, ICON Continuity Fund LP, TLV Partners Ltd. and Vine Ventures also participating. Including the new funding, Qodo has raised $50 million to date.
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Qodo raises $40M Series A to bring quality-first code generation and testing to the enterprise
At first glance, Qodo, the startup previously known as CodiumAI, may appear to be yet another AI code generation tool. But the team, which is announcing a $40 million Series A round led by Susa Ventures and Square Peg today, is just as much focused on generating code as on generating the tests and code quality in general. The service launched out of stealth 18 months ago and so far, the company says, over 1 million developers have tried its solutions and a number of Fortune 100 companies have adopted its enterprise platform. One major differentiator for Qodo is that while the company offers the usual extensions for Visual Studio Code and JetBrains to bring its Qodo Gen tools right into the IDE, it also offers a git agent that supports GitHub, GitLab, and Atlassian's BitBucket, as well as a Chrome extension and a CLI tool. "We call ourselves the first quality-first code generation platform for complex code," Qodo CEO and co-founder Itamar Friedman told me. "In order to enable quality-first code generation, we believe we need to integrate into the entire software development lifecycle." Friedman noted that each of the company's tools aims to reduce bugs and issues in another part of the coding and deployment process. "It's death by 1,000 cuts and we want to deal with each one of them in our vision. So we need to meet the bugs and the issues, either where they were created or where they can be caught. So we're integrating into many locations." Another interesting aspect of Qodo is that it offers developers the option to write out the issue they are trying to fix and how they want to tackle it in natural language. This way, Qodo knows what you are trying to do when you start working directly with the code. Friedman called this "task-aware coding." The agent doesn't directly try to fix the issue, but now the code-completion tool is aware of what you are trying to do and can focus its suggestions on that. After writing code, developers can then access Qodo's test generation service within their IDE. Later on, once the code has been pushed to GitHub, Qodo's tools can help the reviewer quickly see what was changed and what the possible issues are. Friedman told me that the team is actually thinking about extending this tool to automatically create a video that walks the reviewer through the changes. "The human is still involved, but I need to make it easier for him or her to review [the code]," Friedman said. By covering the entire lifecycle, Friedman argued, the individual tools can also learn from each other. If your reviewers always give you very similar comments about your code then the code suggestion tool can take that into account, for example. "AI agents play an increasingly pivotal role in software creation, and we believe a quality-first approach is key for their widespread adoption at the enterprise," said Yonatan Sela at Square Peg. "Devs at the enterprise don't 'start from scratch,' their code needs to work in harmony with tens of thousands of lines of code that are already there." Looking ahead, the Qodo team plans to extend its service to also test the code from the user interface. This new service, tentatively called Qodo UX, will behave like a human who tries to use a company's website and test the user interface for bugs. "Someone could say, 'Okay, just do end-to-end testing. But if you do end-to-end testing and you find a bug, you don't know where it is, and you can't really prove that you tested everything. Each testing type has its unique pros and cons. We want to cover all. We started with unit and functional [testing]. Then we grew to integrity. Next quarter is UX testing." In addition to Susa Ventures and Square Peg, Firestreak Ventures and ICON Continuity Fund also participated in this round, as did seed investors TLV Partners and Vine Ventures. This $40 million Series A round now brings the company's total funding to $50 million.
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AI Code Checker Qodo Raises $40 Million to Serve Bigger Clients
Qodo, a Tel Aviv-based startup selling artificial intelligence software that tests and finds bugs in code, has raised $40 million to expand the business and service larger customers. The funding round, led by Susa Ventures and Square Peg, brings the total amount raised by the startup to $50 million, the company said in a statement. It declined to disclose its valuation.
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Qodo, an AI-powered code integrity startup, has raised $40 million in Series A funding. The company aims to enhance code quality and security for enterprise clients using advanced AI technologies.
Qodo, a startup specializing in AI-driven code integrity solutions, has successfully secured $40 million in Series A funding. The round was led by Insight Partners, with participation from existing investors Accel and Elad Gil 1. This significant investment underscores the growing importance of AI-powered tools in software development and highlights Qodo's potential to revolutionize code quality and security in the enterprise sector.
Founded in 2023 by former Google and Anthropic engineers, Qodo has developed a unique "quality-first" approach to code generation 2. Unlike traditional code-generating AI models that focus primarily on functionality, Qodo's technology prioritizes code quality, security, and maintainability from the outset. This approach aims to reduce technical debt and enhance overall software reliability.
Qodo's platform leverages large language models (LLMs) and other cutting-edge AI technologies to analyze and improve code. The system can identify potential bugs, security vulnerabilities, and performance issues before they make it into production 1. By integrating seamlessly with existing development workflows, Qodo enables developers to focus on innovation while ensuring high-quality code output.
With the new funding, Qodo plans to expand its reach to serve larger enterprise clients 3. The company has already attracted several Fortune 500 companies as early adopters, demonstrating the strong demand for AI-powered code integrity solutions in the enterprise market. Qodo aims to use the investment to enhance its product offerings, scale its operations, and accelerate go-to-market strategies.
The success of Qodo's funding round reflects the growing recognition of AI's potential to transform software development practices. As businesses increasingly rely on complex software systems, the need for tools that can ensure code quality and security at scale becomes paramount. Qodo's AI-driven approach positions the company at the forefront of this trend, potentially reshaping how enterprises approach code generation and maintenance.
While Qodo's technology shows promise, the company faces challenges in a competitive market. Established players and other AI-focused startups are also vying for a share of the enterprise software development tools market 2. However, Qodo's focus on quality-first code generation and its strong backing from prominent investors provide a solid foundation for growth and innovation in the rapidly evolving field of AI-assisted software development.
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AI-powered coding assistant startups Magic and Codeium have raised $320 million and $150 million respectively, signaling a major shift in the developer tools industry. These investments highlight the growing importance of AI in software development.
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Early, a Tel Aviv-based startup, secures $5 million in seed funding to develop an AI-powered tool that automates code testing, aiming to improve software quality and catch bugs early in the development process.
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Tessl, an AI-powered developer tooling startup, secures $125 million in funding to create a platform that aims to transform software development through natural language prompts and automated code maintenance.
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Israeli startup Lightrun raises $18 million in funding and launches an innovative AI-powered debugger. The new tool aims to revolutionize how developers identify and fix issues in production code.
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Poolside, an AI-powered coding startup, has raised $500 million in a Series B funding round led by Bain Capital Ventures. The investment brings the company's total funding to $626 million and values it at $3 billion, despite not having launched a product yet.
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