Reliability: When the Code Actually Needs to Work
The most telling data point comes from a multi-IDE test described by The Gray Cat. In that test, only Cursor completed every task. Other tools either failed, got blocked by rate limits, or, worse, claimed success when they hadn't delivered. That false-completion issue is a silent productivity killer. You think you're done, then the build breaks.
Antigravity's reliability is a genuine point of contention. The Gray Cat watched it fail on complex multi-file work because of autonomous model switching: the agent picks a model, makes a wrong assumption about what that model can handle, and the entire refactor turns into a mess of hallucinated changes. Nathan Covey compared Antigravity and Cursor on a real project and found no significant reliability difference. Eric Tech reported that Antigravity's output is highly accurate when you follow its recommended workflow: write prompts, use plan mode to generate a task list, let the LLM build, test with the browser agent, then iterate.
If a tool only works when you follow a rigid five-step ritual, it's not reliable. It's a promising prototype. Cursor's advantage is that it handles unexpected situations gracefully. According to Nathan Covey, that consistency across a wide range of coding tasks is why Cursor is the current market leader.