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FigureThe rapidly growing coding startup from Israel focused on the quality of the code has announced a new collaboration with Google Cloud aimed at making the integrity of the software generated by the AI.
Since organizations are increasingly based on artificial intelligence to produce great portions of their code bases, the need for effective supervision and quality guarantee tools is growing.
According to the CEO of Qodo Itamar Friedman, the code generated by the AI is no longer just extra: it is becoming fundamental for modern development.
“Imagine a future in which the ia writes the whole code; humans will not be able to see it again,” said Friedman. “There must be a system to ensure that the values and intentions behind that code remain intact.”
Qodo’s journey has brought everyone at this point
Before his collaboration with Google Cloud, Qodo had already made great strides in the development space of the company software.
Previously known as Codium, the The company was renamed Qodo in autumn 2024 reflect its growing attention on the quality of the holistic code and on the engineering support guided by artificial intelligence.
One of his The main discoveries arrived in February 2025 with the release of Dig -band-1-1.5bA light but high performance open source incorporation model.
The 1.5 billion parameter model has obtained the best scores on the standard benchmarks in the sector such as the Benchmark of recovery of information on the code (COR), overlapping larger and more intense offers of resources from Openi and Salesforce. It has been designed to help the development teams to search, recover and contextualize the code carefully through vast basics of multi-language code, making it particularly relevant for large-scale corporate environments.
Qodo also explored the application of agents Ai for regression tests with the publication From Dig a cover In December 2024, a completely autonomous tool that validates whether the changes to the software continue to satisfy the quality and coverage criteria.
Introduced to AWS RE: INVENT, QUODO COVER has demonstrated its skills successfully contributing the code validated to the embrace of the repository of PyTorCh Open Source images models.
The approach of the company emphasizes modular artificial intelligence agents specific for activities that assist with discreet engineering activities such as the generation of testing, the revision of the code and the incorporation, rather than pursuing an all-in-one solution. As CEO Itamar Friedman said, the goal is not only to write more code faster, but to ensure that the code generated by the AI intact reliably and adheres to the best practices in complex systems, a concern above all by pressing as artificial intelligence tools generate an increasing share of corporate software.
“We consider ourselves responsible for the construction of the machine that observes the machine, checking not only software practices, but also values,” said Friedman.
Revision of the free code for open source projects
At the center of the partnership is Dig the registrationAn instrument of revision of the code powered by artificial intelligence that uses Google Gemini models.
Qodo Merge analyzes the code for potential bugs, structural problems and deviations from the best practices.
As part of the collaboration, this tool will be offered for free for Open Source software maintainers, helping to guarantee quality at the center of community projects widely used.
Friedman explained the meaning of this initiative: “helping open source projects to maintain the highest quality standards, we are strengthening the bricks of the entire development ecosystem while creating smart guardrails that allow developers to move with confidence at the speed of the AI.”
Deep integration into a large and growing ecosystem
The suite of Qodo tools is now natively integrated with Google Cloud, offering users direct access through services such as Vertex Ai and Google Cloud Marketplace.
This includes QodoembbedIncorporation model of the compact code and high performance of Qodo, now listed in the Garden Model of Vertex AI.
“Our model of incorporation of the code is now in the Google model garden, making the distribution much easier for our customers,” said Friedman.
The incorporation model allows quick and accurate research of the code and a recovery of the context: key characteristics for modern work flows of coding AI. Simplifies the implementation of the generation pipelines (RAG) (RAG) of recovery and is optimized for company distribution, including the GPU -based infrastructure supplied by Google Cloud.
Assistance to the improved code built at the top of the powerful Gemini 2.5 Pro LLM of Google
Another aspect of integration is the improvement of Dig GenCode assistant AI of Qodo. By incorporating the Gemini 2.5 Pro model of Google, Qudo Gen now provides more suggestions with the code aware of the context and accurate, offering developers with a development experience assisted by AI.
These improvements also make Qudio tools compatible with the working flows of emerging developers, such as fully automated commit and revision cycles fueled by artificial intelligence agents that work in tandem.
Qodo designed his platform with flexibility, offering both headless and full solutions. This modular approach allows company users to choose and choose components, such as review of the code, incorporation or context agents, and integrate them into the existing work flows through API, CLI or native connectors.
“We are both a headless company and in the lead, which offers modular technologies so that companies can build tailor -made work flows for their needs,” said Friedman.
This approach appeals in particular to large organizations with complex pipes. Qodo’s tools are already in use by Fortune 500 companies, including Intuit and Nvidia. In fact, Nvidia has showed off Qodo’s skills in the events in the sector and detailed the way they integrate Qodo’s tools in their work flows AI.
Support startups via Google Cloud Perks
To extend its scope beyond large companies, Qodo is participating in the Google Cloud startup startup program.
As part of this initiative, the companies eligible in the initial phase can receive a 50% discount on the Qodo tools they are using for non -open source, commercial/owners products.
The goal is to make the quality solutions of the company’s quality code to rapid growth starts accessible that try to reduce responsibly.
“We are enabling startups and companies in the same way to use Qodo without continuity with Google Cloud and we offer discounts to make this integration even easier,” said Friedman.
This program aligns with the wider Qodo mission to eliminate the compromise between speed and quality in the development of the software: a Friedman theme repeated during its observations on collaboration.
A commitment for quality above all
Since the artificial intelligence tools begin to generate code on all levels of the technological stack, from the design and design systems for the cloud infrastructure, Qodo sees an urgent necessity of quality validation tools that work independently of the origin of the code.
Friedman has compared the role of Qodo to that of an observability supplier: just as companies such as DataDog Monitor Applications regardless of where they are distributed, Qodo aims to verify the quality of the code regardless of how or where that code is written.
By incorporating itself into platforms such as Google Cloud, Qodo is positioning its solution as a neutral and multi -platform standard to validate the integrity of the code in a panorama in which the development based on the AI is quickly becoming the norm.
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