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FigureFast growing AI coding, Coding of Coding of Israel, aimed at developing the integrity of the program created by Google Cloud and AI, announced a new cooperation.
As organizations rely on artificial intelligence to produce large parts of more and more codes, effective control and quality assurance are needed.
According to Godon’s General Director Itamar Friedman, the CODI created code is no longer added – the foundation for modern development.
“Imagine a future where the AI wrote the whole code; people will not be able to review it,” Friedman said. “This code should be a system to ensure values and intentions behind the code.”
All of the travel of the godo supported to this point
Before cooperating with Google Cloud, the GODO has already taken prominent steps in the field of enterprise program.
Previously known as the codium, The company rebranded GODO in the fall of 2024 To reflect the growing focus on the quality of the hint code and AI-based engineering support.
One Great improvements came in February 2025 by release Drill-1-1.5bModeled model, which is a light but highly played open source code.
1.5 billion parameter patterns, benchmark (COir), the highest scores in industry-standard benchmarks such as Benchmark (COir), more resources and more resources requiring resources. Development teams are designed to help you search, obtain, purchase, purchase, acquisition, purchase and fix the contextualize code, especially for large-scale enterprises.
GODO also got acquainted with the regression test with the application of AI agents release one Shut In December 2024, it is a fully autonomous tool that confirms that the software continues to meet the quality and coverage criteria.
Presented in AWS Re: The invention was a successful source of the godo covering the open source Pytorch Image models successfully contributed successfully contributing to the successful contribution to the confirmed code to embrace their depots.
The company’s approach highlights the module, which helps discrete engineering tasks, such as test generations, code review and placement of test generations, code review and placement in each. As the CEO put the Itamar Friedman, it is not to write more codes faster, but to ensure that the AI generated in reliably integration and best practices, but to ensure that the best practices are compatible with the best practices.
“We are responsible for building a machine that checks ourselves only and checking the values,” Friedman said.
Free Code Review for Open Source Projects
In the center of the partnership Dig a combinationAi-powered code of Google using Gemini models is a review tool.
The combination of the godo analyzes the analysis code for deviations from potential errors, structural issues and best practices.
As part of cooperation, this tool has no value to the unopened software that helps ensure the quality of the core of widely used community projects.
Friedman explained the importance of this initiative: “We strengthen the building blocks of the entire development ecosystem, creating a smart landmand to protect the highest quality standards in open source projects.”
Deep integration into an ecosystem that is large and growing
GODO tools set, now connected locally with Google Cloud, offers users direct access to users via VERTEX AI and Google Cloud Marketplace.
This includes GodobedThe model installed compact and highly played Code of Godo is now listed in the model garden of Vertex AI.
“Our code installation model is now in Google model garden, place for our customers,” said Friedman.
Embedding model allows modern AI coding allows fast, accurate code search and context search-key features for work flows. This simplifies the application of the search-expanded generation (dwarf) pipelines and is optimized for enterprise placement, including GPU-based infrastructure provided by Google Cloud.
Google’s Strong Gemini 2.5 Developed Code Assistant built in Pro LLM
Another aspect of integration is to expand DigGODON’s AI code assistant. By entering Google’s Gemini 2.5 Pro model, GODO genes now offers more context-aware and accurate code suggestions, developers offer developers, the smoother AI Assistant development experience.
These progress also adapts the tools of Gado, which is fully equipped with fully automated and review periods equipped by AI agents operating in Tandem.
GODO offers both and head-full solutions and easily designed its platform. This module approach allows enterprise users to choose and select components such as code review, expeddings or context agents and combine them into existing work flows through API, CLI or native connectors.
“We offer both the headless and headless, modular technology, so it can build a work flow in accordance with the needs of enterprises,” Friedman said.
This approach applies to large organizations, which are especially complex pipelines. Godo’s tools are already used by Intuit and Nvidia, including Fortune 500 companies. In fact, NVIDIA demonstrated Godon’s capabilities in industrial events and said in detail in detail how they integrated Godon’s tools to their AI workflows.
Support the beginnings via Google Cloud Perks
To expand from large enterprises, GOOO is participating in the Google Cloud Perks program.
As part of this initiative, it can receive a 50% discount on the tools used for early-stage companies, non-open sources, commercial / property products.
The goal is to make the company’s quality solutions that are accessible to fast-growing beginnings, a rapid start to a rapid start to a speedy level.
“We offer a discount to use the godo without problems with Google Cloud and make this integration easier,” Friedman said.
This program is compatible with a wider mission of this program to eliminate trade between speed and quality in the program.
One of all the quality of the quality
As AI instruments began to create a code among all layers of all layers and design systems from TECH Stack, Cloud Infrastructure-Godo sees an urgent need for quality assessment vehicles regardless of the origin of the code.
Friedman likened the role of Godon’s observer: Regardless of the locations where Datadog is placed, the code is aimed at checking the quality of the code, regardless of how and where this code is written.
Google places a solution to a neutral, cross-platform standard for confirmation of code integrity in a landscape, which is managed by Hodo, AI, which is governed by the AI, which is governed by the AI, cloud.
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