Harness rebuilt its Git repository for nonstop AI agent traffic
As one of Harness’s field CTOs, Martin Reynolds spends much of his time asking engineering leaders one question with no The post Harness rebuilt its Git repository for nonstop AI agent traffic appeared first on The New Stack .
Harness, a platform for software delivery, has rebuilt its code repository to accommodate the surge in code pushed by AI agents. Field CTO Martin Reynolds explained that the team's willingness to push code into production has decreased as a result, leading to a bottleneck in the review process. Harness is addressing this issue by building a software delivery knowledge graph, which maps a customer's pipelines, deployments, incidents, and policies, providing reviewers with relevant context at a faster rate.
The company's engineers reportedly saved over 10,000 hours of manual review time per month using this approach. Harness's new AI Code Review product began reviewing pull requests opened by bots, including its own coding agent. Given that GitHub was not designed to handle the scale of AI agents, the platform's nearly eight-hour outage on August 17 may be a reflection of its limitations.
Harness's new repository service is designed to work for both humans and AI, built on Kubernetes and tested at thousands of commits per second. While Harness operates at a different scale than GitHub, the company sees potential in extending its capabilities beyond traditional processes.
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