Qodo brings organizational context and codebase standards into Codex, helping developers catch P0 issues across repositories.

Qodo⁠(opens in a new window) builds AI tools for code review and software quality, giving coding agents the organizational knowledge they need to understand the code they change. Co-founder and CEO Itamar Friedman calls it “the coding agent’s best friend.”

Qodo uses OpenAI models including GPT‑6 Astra to gather engineering knowledge, review code, and monitor software quality. Its Codex plugin brings that context and review into developers’ coding sessions.

Itamar describes customer environments that can span 10,000 or more repositories, where a local code change can break a downstream service, even if it looks correct on its own. Qodo built a plugin in the Codex marketplace to address this.

“Codex is really good at taking a local task and completing it in an efficient way,” Itamar says. Qodo’s plugin gives Codex access to codebase knowledge, organizational rules, and independent review through Qodo’s Agentic Toolbox.

With context, Codex can account for dependencies across repositories, including those hosted by different Git providers or services connected through Kafka. “Qodo will make that connection and will help Codex look at the software as a whole and not miss those P0 bugs,” Itamar says.

Before Codex starts writing code, it can use Qodo’s plugin to retrieve the relevant codebase rules and pull request history and patterns. After Codex makes the changes, Qodo reviews them and returns its findings directly to Codex in the same session, before the developer opens a pull request.

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