Rollbar, providers of the Continuous Code Improvement Platform, is introducing AI-assisted workflows powered by its new automation-grade grouping engine, enabling developers to spend less time monitoring, investigating, and debugging, and more time creating new products and features.
“Our AI-assisted workflows, powered by our automation-grade grouping, are an industry first to reduce the daily noise and manual work of fixing code for developers so they can focus on building and innovating,” said Rollbar CEO and co-founder Brian Rue. “Our investment in these automation features and our Continuous Code Improvement Platform – along with our company expansion, growing customer base, recent Series B funding, and new visual brand identity – highlight our commitment to help developers build software quickly and painlessly.”
Automation-grade grouping is the next-generation of Rollbar’s grouping engine. Rollbar uses machine learning to determine patterns on an ongoing basis to continuously improve the engine while also identifying unique errors in real time.
This eliminates noise caused by missed or false alarms and provides the foundation for AI-assisted workflows.
Hard-coded rules make it impossible to keep up with constantly changing error types. That’s why Rollbar regularly runs its machine learning model against new errors from customers to recognize different error types, and to group them effectively.
The three AI-assisted workflows Rollbar is introducing include:
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