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Qodo, the quick rising AI coding startup from Israel centered on code high quality, has introduced a brand new collaboration with Google Cloud geared toward advancing the integrity of AI-generated software program.
As organizations more and more depend on synthetic intelligence to supply massive parts of their codebases, the necessity for efficient oversight and high quality assurance instruments is rising.
In accordance with Qodo’s CEO Itamar Friedman, AI-generated code is now not simply supplemental — it’s turning into foundational to trendy growth.
“Imagine a future where AI writes all the code; humans won’t be able to review it,” stated Friedman. “There must be a system to ensure the values and intentions behind that code remain intact.”
Qodo’s journey has all led up so far
Earlier than its collaboration with Google Cloud, Qodo had already made notable strides within the enterprise software program growth area.
Previously often known as Codium, the corporate rebranded to Qodo in fall 2024 to replicate its rising give attention to holistic code high quality and AI-driven engineering help.
Certainly one of its main breakthroughs got here in February 2025 with the discharge of Qodo-Embed-1-1.5B, a light-weight but high-performing open-source code embedding mannequin.
The 1.5-billion-parameter mannequin achieved prime scores on industry-standard benchmarks just like the Code Data Retrieval Benchmark (CoIR), outperforming bigger and extra resource-intensive choices from OpenAI and Salesforce. It was designed particularly to assist growth groups search, retrieve, and contextualize code precisely throughout huge, multi-language codebases—making it significantly related for large-scale enterprise environments.
Qodo has additionally explored the applying of AI brokers for regression testing with the discharge of Qodo Cowl in December 2024, a totally autonomous software that validates whether or not software program modifications proceed to fulfill high quality and protection standards.
Launched at AWS re:Invent, Qodo Cowl demonstrated its capabilities by efficiently contributing validated code to Hugging Face’s open-source PyTorch Picture Fashions repository.
The corporate’s method emphasizes modular, task-specific AI brokers that help with discrete engineering duties like check technology, code assessment, and embedding, slightly than pursuing an all-in-one answer. As CEO Itamar Friedman put it, the aim isn’t just to put in writing extra code quicker however to make sure that AI-generated code integrates reliably and adheres to greatest practices in advanced methods—a priority particularly urgent as AI instruments generate an growing share of enterprise software program.
“We see ourselves as responsible for building the machine that observes the machine—verifying not just software practices, but also values,” Friedman stated.
Free code assessment for open supply initiatives
On the heart of the partnership is Qodo Merge, an AI-powered code assessment software that makes use of Google’s Gemini fashions.
Qodo Merge analyzes code for potential bugs, structural points, and deviations from greatest practices.
As a part of the collaboration, this software shall be provided without charge to open-source software program maintainers, serving to guarantee high quality on the core of widely-used group initiatives.
Friedman defined the importance of this initiative: “By helping open source projects to maintain the highest quality standards, we’re strengthening the building blocks of the entire development ecosystem while creating intelligent guardrails that let developers move confidently at AI speed.”
Deep integration into a big and rising ecosystem
Qodo’s suite of instruments is now natively built-in with Google Cloud, providing customers direct entry by means of providers like Vertex AI and the Google Cloud Market.
This consists of QodoEmbed, Qodo’s compact and high-performing code embedding mannequin, now listed in Vertex AI’s Mannequin Backyard.
“Our code embedding model is now in Google’s Model Garden, making deployment much easier for our clients,” Friedman stated.
The embedding mannequin permits quick, correct code search and context retrieval—key options for contemporary AI coding workflows. It simplifies implementation of retrieval-augmented technology (RAG) pipelines and is optimized for enterprise deployment, together with GPU-based infrastructure supplied by Google Cloud.
Enhanced code help constructed atop Google’s highly effective Gemini 2.5 Professional LLM
One other side of the combination is the enhancement of Qodo Gen, Qodo’s AI code assistant. By incorporating Google’s Gemini 2.5 Professional mannequin, Qodo Gen now delivers extra context-aware and correct code recommendations, providing builders a smoother AI-assisted growth expertise.
These enhancements additionally make Qodo’s instruments appropriate with rising developer workflows, comparable to totally automated commit-and-review cycles powered by AI brokers working in tandem.
Qodo has designed its platform with flexibility in thoughts, providing each headless and head-full options. This modular method permits enterprise customers to select and select elements—comparable to code assessment, embeddings, or context brokers—and combine them into current workflows through API, CLI, or native connectors.
“We’re both a headless and headful company, offering modular technology so enterprises can build workflows tailored to their needs,” Friedman stated.
This method appeals significantly to massive organizations with advanced pipelines. Qodo’s instruments are already in use by Fortune 500 corporations, together with Intuit and NVIDIA. In truth, NVIDIA has showcased Qodo’s capabilities at {industry} occasions and detailed how they combine Qodo’s instruments into their very own AI workflows.
Supporting startups through Google Cloud Perks
To increase its attain past massive enterprises, Qodo is taking part in Google Cloud’s Startup Perks program.
As a part of this initiative, eligible early-stage corporations can obtain a 50% low cost on Qodo’s instruments that they’re utilizing for non open supply, industrial/proprietary merchandise.
The aim is to make enterprise-grade code high quality options accessible to fast-growing startups seeking to scale responsibly.
“We’re enabling startups and enterprises alike to use Qodo seamlessly with Google Cloud, and we’re offering discounts to make that integration even easier,” stated Friedman.
This program aligns with Qodo’s broader mission of eliminating the tradeoff between pace and high quality in software program growth—a theme Friedman repeated all through his remarks in regards to the collaboration.
A dedication to high quality above all
As AI instruments start to generate code throughout all layers of the tech stack—from IDEs and design methods to cloud infrastructure—Qodo sees an pressing want for high quality validation instruments that function independently of the code’s origin.
Friedman likened Qodo’s function to that of an observability supplier: simply as corporations like Datadog monitor functions no matter the place they’re deployed, Qodo goals to confirm code high quality no matter how or the place that code is written.
By embedding itself in platforms like Google Cloud, Qodo is positioning its answer as a impartial, cross-platform normal for validating code integrity in a panorama the place AI-driven growth is quickly turning into the norm.
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