That aligns with my annecdata :)
But my first thought looking at this is that the numbers are probably skewed due to distribution of user skill levels, and what types of users choose which tool.
My hypothesis is that Amp is chosen by people who are VERY highly skilled in agentic development. Meaning these are the people most likely to provide solid context, good prompts, etc. That means these same people would likely get the best results from ANY coding agent. This also tracks with Amp being so expensive -- users or companies are more likely to pay a premium if they can get the most from the tool.
Claude Code on the other hand is used by (I assume) a way larger population. So the percentage of low-skill users is likely to be much higher. Those users may still get value from the tool, but their success rate will be lower by some factor with ANY coding agent. And this issue (if my hypothesis is correct) is likely 10x as true for GitHub Copilot.
Therefore I don't know how much we should read into stats like the total PR merge success percentage, because it's hard to tell the degree of noise caused by this user skill distribution imbalance.
Still interesting to see the numbers though!
I run every single coding prompt through Codex, Claude Code, Qwen and Gemini, compare which one gives me the best and go ahead with using that one. Maybe I go with Codex 60% of the times, Claude 20% and Qwen/Gemini the remaining 20%, not often at all either of them get enough right. I've tried integrating Amp into my workflow too, but as mentioned, too expensive. I do think the grass is currently the greenest with Codex, still.
But then I switched to GLM 4.6 using Claude CLI tool and that was good enough and significantly cheaper/faster.
Then Opus 4.5 came out with better pricing and might as well just use that directly. Still working great.
With Amp I was spending $5 here and there every day. Great, but pricey.