There are three shapes of AI coding tool, and they fail for different reasons.
The first is inline completion. It lives inside the editor you already use, it never asks you to change how you work, and its failure mode is boredom: after a month you stop noticing the suggestions and the subscription quietly renews. It survives because it costs nothing in behavior change.
The second is the AI-native editor. It owns the workspace, the agent can read across files, and the review loop is built around diffs. This one survives when the team is small and the codebase is young. It dies when the editor cannot run the thing that makes the team money — a legacy build, a plugin ecosystem, an enterprise policy.
The third is the cloud builder. You describe an app, it scaffolds and hosts it. This survives for prototypes and internal tools almost perfectly, and it hits a wall the moment the app needs the database you already have, the auth you already pay for, and the deployment target your security team approved.
What actually predicts survival
Not benchmarks. The tools that are still open in a tab after a month share two properties: they attach to an existing artifact (your repo, your editor, your CI) instead of asking you to move, and their output is reviewable in the format you already review in. A diff you can reject line by line beats a chat window you have to translate into a diff by hand.
The corollary is uncomfortable for vendors: the best AI coding tool is usually the least interesting one. It does not write the architecture. It writes the fourth test case, the migration you were avoiding, and the error handling you skipped at 11pm.
How we rank them here
We do not publish a numbered list, because the ranking flips with your stack. What we do instead is record the constraint each tool is built around — editor ownership, hosting, review model — and let you match it against the constraint you actually have. The comparison pages put those side by side with pricing and free-tier status, which is the part that decides most subscriptions, not the model.
If you are starting from zero, the order that fails least often is: completion first, then an agentic editor, then a cloud builder for the throwaway thing you need this afternoon. Buying them in the opposite order is how teams end up with four subscriptions and one workflow.