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11 articles
This explainer explores the shift from traditional software development to AI development in the era of generative and agentic AI, examining key skills required and identifying gaps in current frameworks.
Microsoft's open-sourced code-testing-generator demonstrates advanced AI agent capabilities in automated unit test generation, achieving superior performance over standard code completion tools through context-aware planning and multi-language adaptation.
This article explores how high team retention in game development, exemplified by Final Fantasy VII Revelation, significantly impacts development velocity and project success. It explains the technical and organizational principles behind sustained team performance in software and AI projects.
Sea Limited's CPO explains how the company is deploying OpenAI's Codex across engineering teams to accelerate AI-native software development in Asia.
This article explains spec-driven development, a methodology where formal specifications guide AI coding agents to generate reliable, production-ready code. It explores how tools like AWS Kiro and GSD are transforming software development in 2026.
This explainer explores how AI agents are expanding the scope of software engineering beyond traditional coding, creating new workflows and professional roles in AI-assisted development environments.
Explore the advanced capabilities of Anthropic's Claude Opus 4.7, focusing on agentic coding, high-resolution vision, and long-horizon autonomous tasks. Understand how these features enable more sophisticated AI systems for real-world applications.
Anthropic has released Claude Opus 4.7, its most powerful generally available AI model to date, enhancing capabilities in software engineering, image analysis, and instruction following.
This article explains the concept of AI-native observability, how it works, and why it's crucial for managing modern, complex software systems.
This article explains how platform maturity affects software development strategies, using Windows 12's potential release as a case study to explore AI and software engineering principles.
Boris Cherny, creator of Claude Code, has revealed a revolutionary workflow that uses five AI agents simultaneously to boost developer productivity. His approach challenges conventional coding practices and could redefine how software is built.
