How can developers get the most from AI code generators? Experts weigh in with tips, recommendations, and warnings.

AWS’s Claude-powered IDE generates spec-driven code and tests, but keep an eye on the results.

“Model-based design means starting with a model—ideally reusing something that already exists—and using it to size actuators, design controls, simulate, refine and ultimately generate deployable code, ...

This repository contains programs from the Compiler Design Lab, covering lexical analysis, parsing, syntax tree generation, and more. Implemented in C, C++, Java, and Lex, these programs demonstrate ...

AI code generation is changing how developers approach their work. Modern code completion AI tools like GitHub Copilot and ChatGPT offer faster development cycles, improved productivity, and the ...

This repository contains the core components of our Recursive Student Programming Language Compiler Construction and Design project. The project aims to implement a complete compiler, including ...

While the use of genAI tools for software development tools is soaring, flying under the radar are issues with code quality, security, and reuse.

Anyone, literally anyone, can code in just about any language today – be it Python scripts, Java classes, COBOL assembler or RPG – The only support one needs is in the form of a Generative AI ...

CodeT5+ CodeT5+ is an advanced open-code large language model introduced by Salesforce Research, designed for code understanding and generation. Deployable as an AI-powered coding assistant, CodeT5+ ...