Deploy AI-managed automations from local runs to production using Trigger.dev monitoring and error handling to reduce workflow failures.

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Abstract: With the increasing number of students pursuing education, the workload on educators with respect to time consumed on evaluation, has significantly risen. Manually assessing student-written ...

Testing isn't optional. Every AI platform interprets your data differently. What works perfectly in ChatGPT might fail completely in Perplexity. Test ...

Abstract: Although the security testing of Web systems can be automated by generating crafted inputs, solutions to automate the test oracle, i.e., vulnerability detection, remain difficult to apply in ...

At long last, player protest with ball or strike calls can be handled with something other than ineffectual arguing.