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7 articles
This article explains how Anthropic's Claude Code AI system is being used to automate daily software maintenance tasks, achieving a 46% merge rate in code changes. It explores the underlying technology and implications for AI-assisted software engineering.
Three emerging disciplines—Prompt Engineering, Loop Engineering, and Graph Engineering—are reshaping AI development. While often used interchangeably, each plays a distinct role in building advanced AI systems.
Three emerging disciplines—Prompt Engineering, Loop Engineering, and Graph Engineering—are reshaping AI development, each addressing distinct layers of complexity in building intelligent systems.
This explainer examines Ford's experience with AI-Augmented Engineering, exploring how AI systems struggle to replicate human expertise in complex engineering contexts and why human oversight remains essential.
Working in OpenAI’s first intern cohort revealed that the real challenge of AI-native engineering isn’t speed—it’s judgment. Engineers must learn when to trust AI, when to test, and when human oversight is essential.
This article explains the concept of experience-driven AI engineering and how enterprise acquisitions like Exadel's purchase of Tangent reflect the industry's move toward integrating user experience with artificial intelligence development.
Meta has formed a new applied AI engineering division to enhance the deployment of AI technologies across its platforms. The move reflects the company's strategic push to integrate AI more effectively into its core services.
