How context engineering can save your company from AI vibe code overload
VENTURE BEAT
At any given time, monday.com’s developers are shipping updates across hundreds of repositories and services. The engineering org works in tightly coordinated teams, each aligned with specific parts of the product: marketing, CRM, dev tools, internal platforms, and more.
That’s where Qodo came in. The company’s platform uses AI not just to check for obvious bugs or style violations, but to evaluate whether a pull request follows team-specific conventions, architectural guidelines, and historical patterns.
It does this by learning from your own codebase — training on previous PRs, comments, merges, and even Slack threads to understand how your team works.
“The comments Qodo gives aren’t generic—they reflect our values, our libraries, even our standards for things like feature flags and privacy,” Regev said. “It’s context-aware in a way traditional tools aren’t.”
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