QODO collaborates with Google Cloud, to provide Devs with tools for free artificial intelligence code directly within the statute

QodoAI Resist Fast-Ei, from Israel, which focuses on the quality of the code, has announced a new cooperation with Google Cloud aimed at progressing the safety of programs created from artificial intelligence.

With the increasing institutions increasing the artificial intelligence to produce large parts of their code bases, the need for supervision tools and effective quality increases.

According to the CEO of QODO ITamar Friedman, the code that was created by artificial intelligence is no longer supplementary-it has become modern development.

“Imagine a future in which artificial intelligence writes all the code; humans will not be able to review it,” said Friedman. “There must be a system to ensure that the values ​​and intentions remain behind this symbol.

Qodo’s trip led to this point

Before cooperating with Google Cloud, Qodo has already made remarkable steps in the Enverrise programs.

Previously known as Codium, The company was renamed to Qodo in the fall of 2024 To reflect its increasing focus on the quality of the comprehensive code and the engineering support moved by artificial intelligence.

One Large breakthroughs came in February 2025 With the release of QODO Embed-1-5BMerging an open source icon, but it is high -performance.

The parameter model has achieved 1.5 billion of higher grades in the standard standards in the industry such as the code recovery standard (COIR), outperforming larger and more intense offers in resource than Openai and Salesforce. It is specially designed to help search for development, recovery, and accurately contexts teams through wide multi-language codes-which makes them particularly related to institutional environments on a large scale.

QODO also explores the application of artificial intelligence agents to test the slope with Release to Qodo cover In December 2024, the entire autonomy tool that is achieved if the program changes continue to meet the quality and coverage standards.

It was presented at AWS Re: Invent, the Qodo Cover showed its capabilities by successfully contributing to the verified programming instructions in the PyTorch Open Source Photo warehouse.

The company’s approach to normative and important artificial intelligence agents asserts that they help in separate engineering tasks such as testing the test, reviewing code, and inclusion, instead of continuing all in one solution. In the words of ITAMAR Friedman, the goal is not only to write more software instructions faster, but to ensure the combination of the code created from artificial intelligence reliably and adhere to best practices in complex systems-a particularly concerned as the AI ​​tools generate an increasing share of the Foundation’s programs.

“We see ourselves responsible for building the device that monitors the device – not only software practices, but also values,” said Friedman.

Review the free code for open source projects

In the midst of partnership Qodo Merge,, AI’s code review tool that uses Google Gemini models.

QODO MERGE analyzes the potential errors icon, structural issues, and deviations from best practices.

As part of cooperation, this tool will be provided without any cost to open source programs, which helps to ensure quality at the heart of community projects widely used.

Friedman explained the importance of this initiative: “By helping with open source projects to maintain the highest quality standards, we are strengthening the basic blocks of the ecosystem for the entire development with the creation of smart rappoes that allow developers to move with confidence quickly AI.”

Deep integration in a large and growing ecosystem

The QODO group tools are now combined with Google Cloud, as it provides users with direct access through services such as Vertex Ai and Google Cloud Marketplace.

This includes QodoampedModel include compressed code and high performance code, now listed in the Vertex AI model.

“The code includes our code now in the Google model garden, which makes publishing much easier for our customers,” said Friedman.

The inclusion model enables a quick and accurate research to search for software instructions and retrieve context – features of modern artificial intelligence encryption. It simplifies the implementation of the RAG -backed pipelines, and is improved for the deployment of institutions, including the GPU infrastructure provided by Google Cloud.

A helpless code is designed on top of Google Gemini 2.5 Pro Llm

Another aspect of integration is to enhance QODO GenAI QODO symbol assistant. By combining the Gueini 2.5 Pro model from Google, QODO Gen now offers more perceived suggestions for context and accurate symbol, providing developers with a smoother development experience.

These improvements also make QODO tools compatible with the work of emerging developers, such as fully compliance and review courses supported by artificial intelligence agents working alongside.

Qodo designed its platform with elasticity, as it provides both absolute and presented solutions. This normative approach to the institution users allows the selection and selection of ingredients – such as the code review, implications, or context agents – and merge them into the current workflow via API, Cli or original connectors.

“We are both cut and advanced, we offer a normative technology so that companies can build workflow tasks designed to meet their needs,” said Friedman.

This approach especially appeals to large organizations with complex pipelines. QODO tools are already being used by Fortune 500 companies, including Intuit and NVIDIA. In fact, NVIDIA has offered QODO capabilities in industry events and detailed how Qodo tools integrate into its artificial intelligence function.

Support startups via Google Cloud Perks

To expand its reach beyond large institutions, QODO is involved in the startup program from Google Cloud.

As part of this initiative, the early stage companies can obtain a 50 % discount on the Qodo tools they use for non -open and commercial/royal products.

The aim of this is to make the quality symbol quality solutions within the reach of fast -growing startups aspires to expand their scope with responsibility.

“We enable startups and institutions alike to use Qodo smoothly with Google Cloud, and we offer discounts to make this integration easier,” said Friedman.

This program is in line with the broader QODO mission of eliminating the comparison between speed and quality in software development – a topic that Friedman repeats during his observations on cooperation.

Commitment to quality above all

When artificial intelligence tools begin to create a symbol across all layers of technical stacks – from identifiers and design systems to cloud infrastructure – Qodo sees an urgent need for quality verification tools that work independently of the origin of the code.

Friedman likened the role of QODO to the role of the observation provider: just as the Datadog companies representing applications regardless of where it is published, QODO aims to verify the quality of the code regardless of how to write this symbol.

By including itself on platforms like Google Cloud, Qodo places its solution as a neutral standard and across a platform to verify the health of the code safety in the landscape where the development of AI becomes the standard.

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