The death of reactive IT: How predictive engineering will redefine cloud performance in 10 years

CLOSED-LOOP FEEDBACK SYSTEM This pipeline captures how data is ingested, modeled, predicted and acted upon in a real-time system. Reactive vs predictive lifecycle Reactive IT: Event Occurs → Alert → Humans Respond → Fix → Postmortem Predictive IT: Predict →...

Rust 1.88 adds support for naked functions

With Rust 1.88, the cfg predicate language now backs Boolean literals, true and false, acting as a configuration that is always enabled or disabled....

GitHub launches Copilot agents panel on GitHub.com

GitHub has unveiled an agents panel, available on every page of github.com, that allows developers to delegate coding tasks to GitHub Copilot throughout the...

Databricks buys Tecton to give context to AI agents

IDC analyst and associate vice president Sharath Srinivasamurthy said that event-driven automation and analyzing data in motion is a critical enabler for enterprises desiring...

Learning how to measure genAI’s impact

Top picks for generative AI readers on InfoWorld AI will require more software developers, not fewerData show AI assistants make it significantly faster and easier...

OpenAI GPT-4.1 models promise improved coding and instruction following

“GPT‑4.1 mini is a significant leap in small model performance, even beating GPT‑4o in many benchmarks. It matches or exceeds GPT‑4o in intelligence evals...
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