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InfoQ·4 days ago·Software Engineering

Article: CodeGuardian: A Model Context Protocol Server for AI-Assisted Code Quality Analysis and Security Scanning

CodeGuardian is an MCP server that extends AI coding assistants with comprehensive code quality and security analysis capabilities. By implementing eleven specialized tools, CodeGuardian enables developers to access enterprise-grade analysis directly through their AI assistant, eliminating context-switching and reducing friction in adopting secure coding practices. By Madhvesh Kumar, Deepika Singh

InfoQ·15 days ago·Software Engineering

Meta Reports 4x Higher Bug Detection with Just-in-Time Testing

Meta introduces Just-in-Time (JiT) testing, a dynamic approach that generates tests during code review instead of relying on static test suites. The system improves bug detection by ~4x in AI-assisted development using LLMs, mutation testing, and intent-aware workflows like Dodgy Diff. It reflects a shift toward change-aware, AI-driven software testing in agentic development environments By Leela

InfoQ·17 days ago·Software Engineering

Zendesk Says AI Makes Code Abundant, Shifting the Bottleneck to “Absorption Capacity”

Zendesk argues that GenAI shifts the bottleneck in software delivery from writing code to “absorption capacity”, which is the organisation’s ability to define problems clearly, integrate changes into the wider system, and turn implementation into reliable value. As code becomes abundant, architectural coherence, review capacity, and delivery flow become the main constraints. By Eran Stiller