Show HN: AI-assisted coding landscape without the hype (danielball.com)

A new resource has emerged, aiming to clarify the AI-assisted coding landscape while cutting through the noise of hype surrounding the technology. This document serves as a comprehensive guide to the evolution of code assistance, categorizing tools from basic completion aids to fully autonomous agents. It delves into how AI coding assistants function, highlighting the distinctions between reactive tools like GitHub Copilot and more sophisticated agentic systems like Claude Code, which are capable of understanding entire codebases and reasoning about developer intent across multiple files. This resource is significant for the AI/ML community as it addresses the growing complexity of coding support tools and the implications of their use. By outlining terms like "agentic AI" and "vibe coding," it underscores the shift in developer workflows brought about by AI tools, which can now take on tasks traditionally reserved for programmers. With a focus on the potential future of persistent, project-aware coding agents, the article raises important questions about trust and transparency within AI systems that could soon act as collaborative companions for software development.