Monday.com’s rapid growth brought a deluge of microservices and pull requests that outpaced human reviewers. Faced with the prospect of either overburdening developers or sacrificing quality, the team adopted Qodo, an Israeli startup focused on developer agents. Unlike code generators such as Copilot, Qodo specializes in reviewing code by applying what it calls “context engineering.” It ingests not just the diff, but also prior PRs, Slack threads, documentation, test results, and architectural guidelines. This rich, structured input lets the language model predict what the team’s standards actually mean, producing comments that reference internal libraries, feature‑flag patterns, and privacy rules.
The result has been transformative. Qodo sits in the GitHub workflow as a simple pull‑request action, surfacing recommendations that developers can accept or override. On average, each PR saves an hour of review time, and the system has prevented more than 800 potentially serious issues per month—many of which involved security leaks or architectural violations that would have slipped through a traditional linting pipeline. Because the AI is trained on a company’s private codebase, it adapts to the nuances of each team, delivering suggestions that developers trust and act upon.
Looking ahead, Monday.com plans deeper integration between Qodo and its developer‑focused product line, aiming to bring business context—tickets, customer feedback, and task data—directly into the review layer. Qodo is expanding its platform to include code generation, automated merge analysis, and regression testing agents, all powered by its own embedding model that outperforms commercial baselines. The company’s experience underscores a growing trend: enterprises that build their own “second brain” for AI can achieve higher quality and faster delivery than those relying on generic, rule‑based tools.
Key takeaway: Context-aware AI can transform code review by learning a team’s own conventions, saving time and preventing critical bugs.
💡 Key Insight
Context-aware AI can transform code review by learning a team’s own conventions, saving time and preventing critical bugs.
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