spr
What ChatGPT, Claude, Gemini & Grok actually say · August 2026
The verdict
spr appears in 1 AI-ranked category — best position #4 for stacked pull request tools for monorepos.
A lightweight, opinionated take on Graphite's model without the platform — each local commit becomes a GitHub PR, spr diff keeps the stack synced, and it stays close to plain git so it drops into an existing monorepo with minimal ceremony. Good value for small teams that want stacking without a vendor.
Gemini Extremely lightweight, open-source CLI utility (git-spr) that maps local Git commit stacks straight to GitHub pull requests with zero third-party cloud services or vendor lock-in.
Where spr falls short, per the models
- Claude The rigid one-commit-per-PR model and reliance on commit-id trailers demand workflow discipline, and it has no merge queue or review UI of its own, so it won't scale the merge/rebase coordination that large monorepos need.
- Gemini Strict one-commit-per-PR model without visual dependency graphs or monorepo merge queue orchestration; not for complex multi-commit PR branches or large teams.
Top alternatives per the models: Graphite · Sapling · Aviator · ghstack
Watch spr
Boards re-poll weekly and the models change their minds. One short email only when spr's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.
Embed your ranking badge
spr ranks #4 for best stacked pull request tools for monorepos by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.
[](https://modelsagree.com/best/best-stacked-pull-request-tools-for-monorepos?utm_source=badge&utm_medium=embed&utm_campaign=badge-spr)<a href="https://modelsagree.com/best/best-stacked-pull-request-tools-for-monorepos?utm_source=badge&utm_medium=embed&utm_campaign=badge-spr"><img src="https://modelsagree.com/badge/spr.svg" alt="spr — ranked #4 for Best stacked pull request tools for monorepos by AI models on ModelsAgree" height="28"></a>Rankings are computed from what the models answer, re-polled on demand · raw reasoning shown verbatim · methodology