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

Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

Google launches Gemini 3.1 Pro with major gains in complex reasoning, multimodal capabilities, and benchmark-leading AI ...

The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...

The unified JavaScript runtime standard is an idea whose time has come. Here’s an inside look at the movement for server-side JavaScript interoperability.

Celebrating Ten Years of Innovation, Leadership, and Lasting Impact Bert’s decade of contributions has shaped Ring in ...

Explore three high-paying remote jobs offering eye-watering salaries of up to $300,000+ in 2026 that offer visa sponsorship. Plus, see if you have what it takes to apply.

The company disclosed today that its AI products’ annualized recurring revenue has increased from $1 billion in early December to $1.4 billion. Databricks’ overall run rate stands at $5.4 billion, a ...

For example, one China-linked group exploited a SQL injection vulnerability six days after proof-of-concept code was published. In another case, two separate actors deployed exploits just two days ...

GoCardless launched MCP, a tool that lets developers and merchants interact with its bank payment platform using everyday ...

Google rolled out Gemini 3.1 Pro yesterday, touting a 77.1% score on novel logic puzzles that models can't just memorize—more than double 3 Pro's result—and record marks for expert-level scientific ...

In the quest to get as much training data as possible, there was little effort available to vet the data to ensure that it was good.