Harness launched new tools to handle AI-generated code. They include a code repository and AI review.
The system manages thousands of pull requests.
Internal testing saved 10,000 hours last month.
What happened
Harness Inc. today announced Agent-Ready Harness Code Repository and AI Code Review. These tools are designed for teams using AI coding agents that produce code faster than humans can review and deploy.
Why it matters
CEO Jyoti Bansal says today's code management expects humans to write and review code, a model overwhelmed by AI agents that generate volumes in minutes. Harness aims to rebuild this layer to handle thousands of pull requests at once, with each agent inheriting permissions from its human trigger.
What to watch
Internal testing over the last month saved an estimated 10,000 hours. The system uses Model Context Protocol and command-line interfaces, enabling programmatic control and lower AI token costs.
Ask the AI about this article →
Harness's announcement comes as AI coding agents become more prevalent, creating a bottleneck in the software development lifecycle. The company's CEO Jyoti Bansal describes the shift as the biggest since the move to the cloud, noting that existing systems were built for a different scale. The new tools aim to make the entire SDLC autonomous, from repository to governance, as a unified system.
The company has already used these capabilities internally, estimating savings of 10,000 hours over the last month. This suggests practical benefits, though the long-term impact on developer workflows remains to be seen. Harness emphasizes that human oversight remains crucial, with AI Code Review sitting at the gate to inform teams about production readiness.
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