Qodo Conscious Deep Analysis achieves 80% accuracy on new coding benchmark, surpassing OpenAI’s Codex at 74%, Anthropic’s Claude Code at 64%, and Google’s Gemini CLI at 45%
Qodo, the agentic code high quality platform, introduced Qodo Conscious, a brand new flagship product in its enterprise platform that brings agentic understanding and context engineering to massive codebases. It options the trade’s first deep analysis agent designed particularly for navigating enterprise-scale codebases. In benchmark testing, Qodo Conscious’s deep analysis agent demonstrated superior accuracy and velocity in comparison with main AI coding brokers when answering questions that require context from a number of repositories.
AI has made producing code simple, however making certain high quality at scale is now even tougher. Fashionable software program programs span a whole lot or 1000’s of interconnected code repositories, making it practically unattainable for builders to keep up a complete understanding of their group’s total codebase. Whereas present AI coding instruments excel at single-repository duties, they can’t traverse the advanced internet of dependencies and relationships: the 2025 State of AI Code High quality report discovered that greater than 60% of builders say AI coding instruments miss related context. Qodo Conscious addresses this limitation with a context engine that powers deep analysis brokers that may mechanically navigate throughout repository boundaries.
“Builders don’t usually work in isolation, they should perceive how adjustments in a single service have an effect on programs throughout their total group and the way these programs developed to their present state,” stated Itamar Friedman, co-founder and CEO of Qodo. “Our deep analysis agent can analyze affect, dependencies and historic context throughout 1000’s of recordsdata and a whole lot of repositories in seconds, one thing that would take a principal engineer hours or days to hint manually. This eliminates the normal speed-quality tradeoff that enterprises face when adopting AI for growth, whereas including the essential dimension of understanding not simply what the code does, however why it was constructed that means.”
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Qodo Conscious options three distinct modes, every powered by specialised brokers for various use circumstances. The Deep Analysis agent performs complete multi-step evaluation throughout repositories, making it excellent for advanced architectural questions and system-wide duties. For faster code Q&As, the Ask agent supplies speedy responses via agentic context retrieval, and the Problem Finder agent searches throughout repos for bugs, code duplication, safety dangers, and different hidden points. These brokers can be utilized to get direct solutions, or built-in into current coding brokers, like Cursor and Claude Code, as a strong context retrieval layer, enhancing their means to know large-scale codebases.
Qodo Conscious makes use of a classy indexing and context retrieval strategy that mixes Language Server Protocol (LSP) evaluation, data graphs, and vector embeddings to create deep semantic understanding of code relationships. For enterprises, this implies builders can safely modify advanced programs with out concern of breaking unknown dependencies, lowering deployment dangers and accelerating launch cycles. Groups report reducing investigation time for advanced points from days to minutes, even when working throughout large, interconnected codebases with greater than 100M traces of code.
Together with these capabilities, Qodo is releasing a brand new multi-repository dataset for evaluating coding deep analysis brokers. The dataset contains real-world questions that require info that spans a number of open supply code repositories to accurately reply. On the brand new DeepCodeBench benchmark, Qodo Conscious achieved 80% accuracy, whereas OpenAI Codex scored 74%, Claude Code reached 64%, and Gemini CLI accurately solved 45%. Importantly, Qodo Conscious Deep Analysis took lower than half the time of Codex to reply, enabling quicker iteration cycles for builders.
Qodo Conscious has been built-in instantly into current Qodo growth instruments – together with Qodo Gen IDE agent, Qodo Command CLI agent, and Qodo Merge code evaluate agent – bringing context to workflows throughout your entire software program growth lifecycle.. It is usually obtainable as a standalone product accessible by way of Mannequin Context Protocol (MCP) and API, enabling integration with any AI assistant or coding agent. Qodo Conscious may be deployed inside enterprise single-tenant environments, making certain code by no means leaves organizational boundaries, whereas sustaining the governance and compliance requirements enterprises require. It helps GitHub, GitLab, and Bitbucket, with all indexing and processing occurring inside customer-controlled infrastructure.
