Qodo’s Context Engineering Saves Monday.com From Code Overload

As monday.com’s engineering org grew past 500 developers, product lines multiplied and microservices spread, the team found itself drowning in pull requests. Reviewing thousands of PRs each month became a bottleneck that threatened quality and speed. The solution came in the form of Qodo, an Israeli startup focused on developer agents. Unlike code‑generation tools such as Copilot, Qodo’s AI is a reviewer: it learns the company’s own coding standards, business logic, and historical patterns to assess changes before they merge.

Qodo’s core lies in ‘context engineering’—the deliberate construction of inputs that include the PR diff, preceding discussions, documentation, relevant files, test results, and even Slack threads. By feeding this structured data into a language model, the AI can predict whether a change aligns with internal conventions and architectural guidelines rather than just flagging syntax errors. In practice, monday.com reports that Qodo has prevented over 800 production‑critical issues each month, including a hard‑coded staging variable that a human reviewer missed. The tool’s insights are not generic; they mirror Monday’s own libraries, feature‑flag practices, and privacy standards, making them immediately actionable for developers.

Integration was simple: Qodo operates as a GitHub action that comments directly on pull requests, feeding developers context‑aware suggestions while keeping human control. The result is a measurable lift—developers save roughly an hour per PR, which aggregates to thousands of hours annually, and the AI’s accuracy stems from training on each company’s private history rather than generic rule sets. Looking ahead, monday.com plans deeper ties with Qodo’s roadmap, envisioning a workflow that channels business context from tickets into code review, and Qodo is expanding its suite with agents for code generation, PR merging, and regression testing. As AI becomes mainstream in software delivery, tools that deliver the right context at the right moment, like Qodo, will be the backbone of efficient, secure codebases.

Key takeaway: Context‑aware AI can act as a developer’s second brain, catching subtle bugs and speeding delivery while preserving human control.