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AI & Enterprise

GitHub limits pull requests to curb flood of low-quality code in AI era

GitHub has introduced a feature that lets repository administrators limit how many pull requests users without write access can keep open at the same time. The change is aimed at addressing a surge in low-quality contributions following the spread of generative AI, while keeping channels for outside participation open. GitHub said the cap can reduce unnecessary code reviews and continuous integration workload, and it is considering further automatic easing based on account and contribution history.

AI & Enterprise

AWS upgrades DevOps agent with AI automated code testing and review features

Amazon Web Services said on June 18 it added release management features to its DevOps agent. The move reflects a situation in which review, testing and deployment have emerged as new bottlenecks as AI-assisted coding spreads. The release management capabilities, currently offered as a preview, include a release readiness feature that automatically checks code changes against internal standards and runs them in an AWS-managed isolated environment.

AI & Enterprise

Tech Insight: Stop using Markdown, move to HTML - why?

Thariq Shihipar, who works on Claude Code at Anthropic, has posted an argument that AI agent outputs should shift from Markdown to HTML. He said long Markdown files are hard to read, weak for visual expression and inconvenient to share, while direct editing is increasingly delegated to Claude. He listed four HTML strengths: higher information density, better readability, easier sharing via links, and two-way interaction using controls such as sliders and buttons.