ProEssentials v10 introduces pe_query.py, the only charting AI tool that validates code against the compiled DLL binary ...

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

A new technology advance has led to the introduction of new actuators that combine motor, drive, gearing, and feedback into a single CANopen device that relieves much of the burden of traditional ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

While Anthropic’s Claude Code grabbed headlines, IBM has been deploying its own generative AI solution, Watsonx Code Assistant for Z, designed to modernize the very mainframes it built. Unlike general ...

Familiarity with basic networking concepts, configurations, and Python is helpful, but no prior AI or advanced programming ...

Container instances. Calling docker run on an OCI image results in the allocation of system resources to create a ...

What separates casual vibe coders from elite builders? It's not better prompts. It's systems. Here's the exact framework I use to keep AI projects production-ready.

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

We evaluate DeepCode on the PaperBench benchmark (released by OpenAI), a rigorous testbed requiring AI agents to independently reproduce 20 ICML 2024 papers from scratch. The benchmark comprises 8,316 ...

Andrej Karpathy stripped down the LLM architecture and loss function to basic mathematical operations. Andrej Karpathy, a former researcher at OpenAI and the founder of AI-native education company ...