Abstract: Code generation has gained increasing attention as a task to automate software development by transforming high-level descriptions into executable code. While large language models (LLMs) ...
Abstract: Large Language Models (LLMs) have shown great potential in automating code generation; however, their ability to generate accurate circuit-level SPICE code remains limited due to a lack of ...
SAN FRANCISCO--(BUSINESS WIRE)--CodeRabbit, the leading AI-powered code review platform, today released the “State of AI vs Human Code Generation”, a comprehensive new report analyzing the quality of ...
CodeRabbit’s “State of AI vs Human Code Generation” Report Finds That AI-Written Code Produces ~ 1.7x More Issues Than Human Code Review of AI-coauthored PRs and human-only PRs finds AI-Generated PRs ...
Generative AI has shown its values for many software engineering tasks. Still in its infancy, large language model (LLM)-based proof generation lags behind LLM-based code generation. In this paper, we ...
You start by getting the official installer from the Visual Studio Code website. Open your preferred browser on Windows. Go to the Visual Studio Code download page ...
Large language models (LLMs) are now widely used for automated code generation across software engineering tasks. However, this powerful capability in code generation also introduces security concerns ...
AI can code based on prompts, but there’s always room for improvement. Microsoft wants to patent a system that can help language models create better code in response to natural language requests ...
The means of specifying input files to the generation process has been extended; see the inputs section. The plugin follows the principle of “convention over ...
Harness Inc. said today it’s injecting artificial intelligence into every stage of the software delivery process, looking to automate every step after the coding process, including testing, security, ...
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