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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 aimed toward advancing the integrity of AI-generated software program.
As organizations more and more depend on synthetic intelligence to provide massive parts of their codebases, the necessity for efficient oversight and high quality assurance instruments is rising.
Based on Qodo’s CEO Itamar Friedman, AI-generated code is not simply supplemental — it’s turning into foundational to trendy improvement.
“Think about a future the place AI writes all of the code; people received’t have the ability to evaluation it,” mentioned Friedman. “There should be a system to make sure the values and intentions behind that code stay intact.”
Qodo’s journey has all led up up to now
Earlier than its collaboration with Google Cloud, Qodo had already made notable strides within the enterprise software program improvement house.
Previously often known as Codium, the firm rebranded to Qodo in fall 2024 to mirror its rising deal with holistic code high quality and AI-driven engineering assist.
One among 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 improvement 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 launch of Qodo Cowl in December 2024, a totally autonomous device that validates whether or not software program adjustments 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 strategy emphasizes modular, task-specific AI brokers that help with discrete engineering duties like take a look at technology, code evaluation, and embedding, fairly than pursuing an all-in-one answer. As CEO Itamar Friedman put it, the aim isn’t just to jot down extra code sooner however to make sure that AI-generated code integrates reliably and adheres to finest practices in complicated techniques—a priority particularly urgent as AI instruments generate an growing share of enterprise software program.
“We see ourselves as chargeable for constructing the machine that observes the machine—verifying not simply software program practices, but in addition values,” Friedman mentioned.
Free code evaluation for open supply initiatives
On the heart of the partnership is Qodo Merge, an AI-powered code evaluation device that makes use of Google’s Gemini fashions.
Qodo Merge analyzes code for potential bugs, structural points, and deviations from finest practices.
As a part of the collaboration, this device shall be provided without charge to open-source software program maintainers, serving to guarantee high quality on the core of widely-used neighborhood initiatives.
Friedman defined the importance of this initiative: “By serving to open supply initiatives to keep up the best high quality requirements, we’re strengthening the constructing blocks of the complete improvement ecosystem whereas creating clever guardrails that permit builders transfer confidently at AI velocity.”
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 via companies like Vertex AI and the Google Cloud Market.
This contains QodoEmbed, Qodo’s compact and high-performing code embedding mannequin, now listed in Vertex AI’s Mannequin Backyard.
“Our code embedding mannequin is now in Google’s Mannequin Backyard, making deployment a lot simpler for our purchasers,” Friedman mentioned.
The embedding mannequin allows 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 offered by Google Cloud.
Enhanced code help constructed atop Google’s highly effective Gemini 2.5 Professional LLM
One other facet of the mixing 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 ideas, providing builders a smoother AI-assisted improvement expertise.
These enhancements additionally make Qodo’s instruments appropriate with rising developer workflows, akin 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 strategy permits enterprise customers to select and select parts—akin to code evaluation, embeddings, or context brokers—and combine them into current workflows by way of API, CLI, or native connectors.
“We’re each a headless and headful firm, providing modular know-how so enterprises can construct workflows tailor-made to their wants,” Friedman mentioned.
This strategy appeals significantly to massive organizations with complicated pipelines. Qodo’s instruments are already in use by Fortune 500 firms, 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 by way of 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 firms can obtain a 50% low cost on Qodo’s instruments that they’re utilizing for non open supply, business/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 make use of Qodo seamlessly with Google Cloud, and we’re providing reductions to make that integration even simpler,” mentioned Friedman.
This program aligns with Qodo’s broader mission of eliminating the tradeoff between velocity and high quality in software program improvement—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 techniques 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 firms like Datadog monitor purposes 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 customary for validating code integrity in a panorama the place AI-driven improvement is quickly turning into the norm.
