Leaked API keys are nothing new, but the scale of the problem in front-end code has been largely a mystery - until now. Intruder's research team built a new secrets detection method and scanned 5 ...
A framework-agnostic methodology for writing predictable, testable Java backend code optimized for human-AI collaboration. In industrial manufacturing, technology is the structured method of producing ...
Abstract: Java offers the Java Native Interface (JNI), which allows programs running in the Java Virtual Machine to invoke and be manipulated by native applications and libraries written in other ...
The average AI-generated pull request has 10.83 issues compared with 6.45 for human code, report claims Quality can be better in terms of typos, leaving room for human reviewers Microsoft code patches ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...
The code generated by large language models (LLMs) has improved some over time — with more modern LLMs producing code that has a greater chance of compiling — but at the same time, it's stagnating in ...
This document summarizes important points for writing and reviewing code examples written for the AWS SDK for Java V2. For more information on tools and standards, see the complete list in TCX Code ...
This study explores the potential of chatbots, specifically ChatGPT, in Java software development. The aim is to classify tasks for effective use of industrial code and develop recommendations for ...
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