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

I've been testing AI workflow builders for the past few months to figure out which ones are worth using. Here are the platforms that stood out and what you shou ...

Joplin hides some surprisingly powerful tools most users never think to touch.

What if you could build a fully functional app in days instead of weeks, all on your own? For solo developers, the idea of creating high-quality applications without a team might sound like a pipe ...

Clinical efficiency is a key component of value-based health care. Our objective here was to identify workflow inefficiencies by using time-driven activity-based costing (TDABC) and evaluate the ...

Ineffective communication can lead to misunderstandings, errors, duplicated efforts and lack of clarity on a project’s status. Companies that lack a collaborative and transparent environment are ...

Many Jave enterprise applications require processing to be executed in a context separate from that of the main system. In many cases, these backend processes perform several tasks, with some tasks ...

The Genome Diagnostics lab of the Human Genetics Dept. at Radboud UMC provides rapid whole exome sequencing since 2017, with a max turnaround time of 15 days (from sample to report). With the ...