Is “best AI coding tool” still a useful question in 2026?

[ethanmiller]

AI ***istants have moved far beyond autocomplete. The real differences now sit in repository understanding, how much work they can finish autonomously, and how tightly they fit (or disrupt) your existing workflow.

I’m curious where the community stands:

1. Which factor matters most to you right now—codebase awareness, agentic autonomy, IDE/terminal integration, or cost predictability?
2. Have you switched tools in the last year because of workflow friction rather than raw code quality?
3. For large or legacy repos, do terminal-first agents (like Claude Code) feel more powerful than editor-native ones, or the opposite?

Drop your experience below—curious to hear what’s actually working (or breaking) in the wild.

[Russell]

I totally feel you on the importance of codebase awareness and how it impacts our workflow. For me, it’s all about that seamless IDE integration—if it fits right into my routine, I’m all in! I did switch tools recently because I hit a wall with workflow friction; it’s wild how much that can slow you down. And honestly, for those big legacy repos, I find terminal-first agents like Claude Code to be super powerful—there’s just something about that direct access!