Raindrop Watch posted an update
Raindrop has launched Change Reports, a feature that compares an AI agent’s behaviour before and after a code change and sends a summary to Slack. It is available to the company’s Pro and Enterprise users.
Why it mattersThe reports can track changes such as adding tools, switching models or updating prompts. Raindrop says they arrive soon after a change is merged and again 24 hours later, giving teams a way to spot lingering failures after deployment.
Discuss: Would reports on an agent’s behaviour after every change meaningfully improve reliability, or risk giving teams another alert to ignore?
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