Discover the leading AI code review tools reshaping DevOps practices in 2026, enhancing code quality, security, and team productivity with automated solutions.

At its core, code quality is an investment in the future of the business. Every modern organization is a technology company ...

Code agents are AI systems that can generate high-quality code and work smoothly with code interpreters. These capabilities help streamline complex software development workflows, which has led to ...

This engineering experience paper details the application of design, development, and performance testing to an automated program repair tool we built that repairs C/C++ code. Static analysis (SA) ...

You’ve probably seen the headlines: Sam Altman recently announced that GPT-5 can write complete computer programs from scratch. That’s pretty impressive! For PPC marketers who have been struggling ...

CodeRabbit combines code graph analysis and the power of large language models to identify issues in pull requests and suggest improvements, or even generate those improvements in a new branch. Code ...

Semantics-driven static analysis could be used to improve the safety, correctness, and performance of Unix, Linux, and macOS shell scripts, researchers say. Semantics-driven static analysis is being ...

ABSTRACT: Security vulnerabilities are a widespread and costly aspect of software engineering. Although tools exist to detect these vulnerabilities, non-machine learning techniques are often rigid and ...

Abstract: An increase in ICT devices and services has led to a rise in carbon emissions. As a result, there is a growing demand for energy-efficient software; however, this demand remains unmet due to ...

Static program analysis (or static analysis) is the analysis of computer programs performed without executing them, in contrast with dynamic program analysis, which is performed on programs during ...

Security vulnerabilities are a widespread and costly aspect of software engineering. Although tools exist to detect these vulnerabilities, non-machine learning techniques are often rigid and unable to ...