Reviewers struggled to predict how code ripples through the system. AI now flags cross-service risks that cause outages.
One of the world's most widely-used observability platforms helps companies monitor and troubleshoot complex distributed systems, making reliability critical before code reaches production.
Effective code review relied on senior engineers with deep historical context, as traditional static analysis tools were too shallow or noisy to...
“Time savings are real and important. But preventing incidents is far more compelling at our scale.”
Observability and security platform for cloud-scale monitoring and analytics.
AI research and deployment company developing generative models and tools.
Datadog's Automated code review is part of this use case:
Related implementations across industries and use cases
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
Developers kept hitting the same silent API pitfalls alone. One PM built a pipeline that learns from each session and shares the knowledge.
Rapid code changes left documentation outdated for weeks. An AI agent now monitors every commit and auto-generates PRs to fix discrepancies.
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
Developers kept hitting the same silent API pitfalls alone. One PM built a pipeline that learns from each session and shares the knowledge.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Reviewers struggled to predict how code ripples through the system. AI now flags cross-service risks that cause outages.
One of the world's most widely-used observability platforms helps companies monitor and troubleshoot complex distributed systems, making reliability critical before code reaches production.
Effective code review relied on senior engineers with deep historical context, as traditional static analysis tools were too shallow or noisy to...
“Time savings are real and important. But preventing incidents is far more compelling at our scale.”
Observability and security platform for cloud-scale monitoring and analytics.
AI research and deployment company developing generative models and tools.
Datadog's Automated code review is part of this use case:
Related implementations across industries and use cases
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
Developers kept hitting the same silent API pitfalls alone. One PM built a pipeline that learns from each session and shares the knowledge.
Rapid code changes left documentation outdated for weeks. An AI agent now monitors every commit and auto-generates PRs to fix discrepancies.
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
Developers kept hitting the same silent API pitfalls alone. One PM built a pipeline that learns from each session and shares the knowledge.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.