AI won’t kill coding — but sidelining junior developers might, leaving the industry faster today and dangerously hollow tomorrow.
In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline. As AI transitions from proof of concept to production, teams are ...
Abstract: The development of safety-critical systems is heavily governed by domain-specific standards. In the aerospace industry, the DO-178C—Software Considerations in Airborne Systems and Equipment ...
The committee will address financial and structural issues related to the Jakarta-Bandung high-speed rail project, known as ...
Technological trends are often short-lived and have no lasting effect. New programming languages show up every year, ...
Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...
The code can improve itself, but humans will still be responsible for understanding why something changed and whether it ...
JAKARTA – A skullcap, molar and femur believed to be remains of Homo erectus, or “Java Man,” unearthed by Dutch geologist ...
Abstract: The intersection of computer science and art has sparked a wave of innovation, particularly in digital visualizations and interactive installations. This abstract explores the symbiotic ...
OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...
Indonesia remains heavily dependent on salt imports, as domestic production reaches only around one to two million tons per ...
Ruby Box is an experimental feature that provides separate spaces in a Ruby process to isolate application code, libraries, and monkey patches.
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