What AI tools did Datadog use?

Datadog used OpenAI Codex in this implementation within the Technology sector.

What business function does this AI use case address?

This use case focuses on Software Engineering, demonstrating how AI can drive impact in that area.

TechnologySoftware Engineering

How Datadog Uses OpenAI Codex for System-Level Code Review Across 1,000+ Engineers

Datadog Source: OPENAI ↗January 2026

Datadog integrated OpenAI Codex into live PR review workflows, catching 22% of incidents that passed human review and enabling 1,000+ engineers with AI-powered system-level code analysis.

Impact

~22%

Incidents Preventable by AI

1,000+

Engineers Using Codex

Challenge

Needed to scale code review beyond senior engineers. Static analysis tools were shallow and noisy, frequently ignored by developers.

Solution

Integrated OpenAI Codex for automatic PR review across major repositories, analyzing code changes within broader system context to surface architectural risks.

Tools & Technologies

OpenAI Codex Developer Tools

What Leaders Say

“For me, a Codex comment feels like the smartest engineer I have worked with and who has infinite time to find bugs.”
Brad Carter, Engineering Manager, AI DevX Lead, Datadog

Get the full context.

Full Story

Datadog needed to scale code review beyond senior engineers who understand system architecture and interconnected risks. Traditional static analysis tools provided shallow, noisy suggestions that engineers often ignored.

Datadog integrated OpenAI Codex into live development workflows, automatically reviewing pull requests across major repositories. The system analyzes code changes within broader system context rather than in isolation — surfacing risks that human reviewers miss.

Codex identified more than 10 cases (approximately 22% of incidents examined) where AI feedback would have prevented issues that passed human review. Over 1,000 engineers now use Codex regularly for code review.

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