What is AI code review and how it works in 4 popular AI tools

AI code review has transformed the traditional manual process by using machine learning and AI technologies to automate the evaluation and improvement of software code. While AI cannot replace human reviewers, it provides substantial benefits such as improving code quality, detecting syntax errors, enforcing coding standards, and identifying security vulnerabilities. AI code review tools, particularly those based on large language models (LLMs), offer advanced capabilities like context awareness, multi-language support, and semantic error detection. Despite these advantages, AI tools face challenges such as false positives, limited context understanding, and reliance on quality training data. Popular AI coding assistants like Tabnine, GitHub Copilot, Amazon CodeWhisperer, and Snyk Code each offer unique features and capabilities, but also come with limitations such as security concerns and data privacy issues. As AI code review evolves, it is positioned to complement human expertise, enhancing the efficiency, quality, and security of software development processes.