Back to News

The Art and Science of Context Engineering for AI Code Reviews

Hacker News - AI
Jul 17, 2025 23:59
aravindputrevu
1 views
hackernewsaidiscussion

Summary

The article explores "context engineering"—the process of providing AI code review tools with the right contextual information to improve their accuracy and usefulness. It highlights how effective context engineering can help AI systems better understand codebases, leading to more relevant feedback and fewer errors. This approach has significant implications for enhancing the reliability and adoption of AI-assisted code review in software development.

Article URL: https://www.coderabbit.ai/blog/the-art-and-science-of-context-engineering Comments URL: https://news.ycombinator.com/item?id=44599696 Points: 1 # Comments: 0
Read Full ArticleMore News

Related Articles

Show HN: Macuse – Give Your AI Superpowers on macOS

Hacker News - AIJul 18

Macuse is a new MCP server for macOS that enables AI assistants to deeply integrate with and perform actions on the operating system, moving beyond simple question answering. This development allows AI to interact more directly with system functions, potentially expanding the practical utility and automation capabilities of AI on personal computers.

This MSI handheld could replace my gaming laptop, and not just for its more portable design

ZDNet - Artificial IntelligenceJul 18

The MSI Claw 8 AI+ offers enhanced performance and improved battery life compared to its predecessor, making it a strong contender to replace traditional gaming laptops. Its advancements highlight the growing integration of AI-driven features in portable gaming devices, signaling a shift toward more powerful and efficient handheld gaming solutions.

AI’s Ethical Crossroads: Companies Must Lead the Way on Self-Regulation

AI BusinessJul 18

The article emphasizes the importance of industry leaders proactively establishing ethical standards and self-regulation for AI development, rather than relying solely on government intervention. This bottom-up approach is seen as crucial for responsibly guiding AI’s future and addressing potential risks and societal impacts.