Qodo Aware Sets a New Standard in AI Coding with Deep Research Excellence
In the rapidly advancing landscape of software development, quality assurance remains a critical challenge, particularly at enterprise scales. With complex systems involving hundreds or thousands of interconnected repositories, developers often struggle to comprehend how changes in one part of the system impact the whole. Addressing this dilemma, Qodo has unveiled its innovative product, Qodo Aware, which brings a paradigm shift in code quality management and AI technology. This new tool is tailored for managing large codebases with unmatched efficiency and understanding.
On September 10, 2025, Qodo officially introduced Qodo Aware, a key addition to its enterprise platform, marking a significant milestone in coding technology. The product features a unique deep research agent specifically designed to enhance navigation through vast, complex enterprise codebases. Through rigorous benchmark testing, Qodo Aware has achieved an impressive 80% accuracy, significantly outperforming established AI coding tools such as OpenAI’s Codex (74%), Anthropic’s Claude Code (64%), and Google’s Gemini CLI (45%).
Most developers know that generating code with AI has become relatively straightforward, yet ensuring the quality and reliability of that code across an organization can be daunting. Statistics from the 2025 State of AI Code Quality Report reveal that over 60% of developers believe current AI tools fail to account for relevant context crucial for understanding complex system interactions. Qodo Aware directly tackles this issue by employing an advanced context engine that allows its deep research agents to navigate the intricate dependencies and relationships that modern software systems entail.
Itamar Friedman, co-founder and CEO of Qodo, remarked, "Developers don't typically work in isolation; they need insight into how service modifications impact interconnected systems throughout the organization. Our deep research agent can analyze impact, dependencies, and historical context across thousands of files and hundreds of repositories in seconds, something that traditionally could take a principal engineer hours or even days." This capability not only enhances speed but also preserves quality, alleviating the common trade-off enterprises face when deploying AI in development processes.
Qodo Aware is equipped with three distinct operational modes, each powered by specialized agents aimed at different tasks.
1. Deep Research Agent: Conducts multi-step analyses across repositories, ideal for addressing complex architectural queries and system-wide challenges.
2. Ask Agent: Offers rapid responses by retrieving context, providing quick solutions to coding questions.
3. Issue Finder Agent: Identifies bugs, code duplication, and security risks across repositories, scanning for hidden problems efficiently.
These specialized agents can not only provide direct responses but can also be integrated into existing coding tools like Cursor and Claude Code, effectively enhancing their capacity to manage extensive codebases.
Utilizing an advanced combination of Language Server Protocol (LSP) analyses, knowledge graphs, and vector embeddings, Qodo Aware fosters a profound semantic understanding of code relationships. This innovation means developers can modify intricate systems confidently, knowing they won’t unintentionally disrupt unknown dependencies. As a result, incident investigation times have drastically decreased from what used to take days down to mere minutes, even when managing sprawling interconnected repositories containing over 100 million lines of code.
To further the development community’s understanding of coding challenges, Qodo has also launched a new dataset designed specifically for assessing coding deep research agents. This dataset includes real-world queries that require cross-repository context for accurate answers, reflecting the complexities developers face in practice.
Qodo Aware is seamlessly integrated into the existing suite of Qodo development tools, including the Qodo Gen IDE agent, Qodo Command CLI agent, and Qodo Merge code review agent. This integration facilitates context-rich workflows throughout the entire software development lifecycle. Moreover, Qodo Aware can be accessed independently via the Model Context Protocol (MCP) and API, which allows it to integrate with virtually any AI assistant or coding agent.
Enterprises can ensure their code management remains secure, as Qodo Aware can be deployed in single-tenant environments with all processing conducted within the client-managed infrastructure, complying with all governance and compliance mandates. The platform supports major version control systems including GitHub, GitLab, and Bitbucket.
For individual developers, a complimentary version of Qodo Aware has been introduced, enabling them to leverage deep research capabilities across popular open-source repositories.
In summary, Qodo Aware not only sets a new standard for AI in coding but also addresses the critical challenges of quality and understanding in large-scale software systems. With a wealth of funding and support from significant investors, Qodo is poised to redefine how developers approach coding and software management, marking a significant leap in the industry’s technological development.
The Launch of Qodo Aware
On September 10, 2025, Qodo officially introduced Qodo Aware, a key addition to its enterprise platform, marking a significant milestone in coding technology. The product features a unique deep research agent specifically designed to enhance navigation through vast, complex enterprise codebases. Through rigorous benchmark testing, Qodo Aware has achieved an impressive 80% accuracy, significantly outperforming established AI coding tools such as OpenAI’s Codex (74%), Anthropic’s Claude Code (64%), and Google’s Gemini CLI (45%).
Tackling the Complexity of Modern Codebases
Most developers know that generating code with AI has become relatively straightforward, yet ensuring the quality and reliability of that code across an organization can be daunting. Statistics from the 2025 State of AI Code Quality Report reveal that over 60% of developers believe current AI tools fail to account for relevant context crucial for understanding complex system interactions. Qodo Aware directly tackles this issue by employing an advanced context engine that allows its deep research agents to navigate the intricate dependencies and relationships that modern software systems entail.
Itamar Friedman, co-founder and CEO of Qodo, remarked, "Developers don't typically work in isolation; they need insight into how service modifications impact interconnected systems throughout the organization. Our deep research agent can analyze impact, dependencies, and historical context across thousands of files and hundreds of repositories in seconds, something that traditionally could take a principal engineer hours or even days." This capability not only enhances speed but also preserves quality, alleviating the common trade-off enterprises face when deploying AI in development processes.
Three Modes for Enhanced Functionality
Qodo Aware is equipped with three distinct operational modes, each powered by specialized agents aimed at different tasks.
1. Deep Research Agent: Conducts multi-step analyses across repositories, ideal for addressing complex architectural queries and system-wide challenges.
2. Ask Agent: Offers rapid responses by retrieving context, providing quick solutions to coding questions.
3. Issue Finder Agent: Identifies bugs, code duplication, and security risks across repositories, scanning for hidden problems efficiently.
These specialized agents can not only provide direct responses but can also be integrated into existing coding tools like Cursor and Claude Code, effectively enhancing their capacity to manage extensive codebases.
Advancing Code Understanding with Technology
Utilizing an advanced combination of Language Server Protocol (LSP) analyses, knowledge graphs, and vector embeddings, Qodo Aware fosters a profound semantic understanding of code relationships. This innovation means developers can modify intricate systems confidently, knowing they won’t unintentionally disrupt unknown dependencies. As a result, incident investigation times have drastically decreased from what used to take days down to mere minutes, even when managing sprawling interconnected repositories containing over 100 million lines of code.
To further the development community’s understanding of coding challenges, Qodo has also launched a new dataset designed specifically for assessing coding deep research agents. This dataset includes real-world queries that require cross-repository context for accurate answers, reflecting the complexities developers face in practice.
Integration and Accessibility
Qodo Aware is seamlessly integrated into the existing suite of Qodo development tools, including the Qodo Gen IDE agent, Qodo Command CLI agent, and Qodo Merge code review agent. This integration facilitates context-rich workflows throughout the entire software development lifecycle. Moreover, Qodo Aware can be accessed independently via the Model Context Protocol (MCP) and API, which allows it to integrate with virtually any AI assistant or coding agent.
Enterprises can ensure their code management remains secure, as Qodo Aware can be deployed in single-tenant environments with all processing conducted within the client-managed infrastructure, complying with all governance and compliance mandates. The platform supports major version control systems including GitHub, GitLab, and Bitbucket.
For individual developers, a complimentary version of Qodo Aware has been introduced, enabling them to leverage deep research capabilities across popular open-source repositories.
Conclusion
In summary, Qodo Aware not only sets a new standard for AI in coding but also addresses the critical challenges of quality and understanding in large-scale software systems. With a wealth of funding and support from significant investors, Qodo is poised to redefine how developers approach coding and software management, marking a significant leap in the industry’s technological development.
Topics Consumer Technology）
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