I implemented meta paper [P]

Reddit r/MachineLearning / 5/2/2026

💬 OpinionDeveloper Stack & InfrastructureTools & Practical UsageModels & Research

Key Points

  • The author says they built a minimal public implementation of Meta AI paper [P], focusing on the core PDR+RTV pipeline.
  • They created a project that runs the Gemini 3.1 Pro model and evaluates it on the SWE benchmark, while noting the paper uses additional benchmarks and models.
  • The implementation is not fully standalone and requires a Gemini API key to run.
  • The post claims there was no existing public implementation of the paper at the time of writing, so the repo aims to make experimentation easier for others.
  • GitHub and arXiv links are provided for the code and the paper reference, respectively.

github link : genji970/Scaling-Test-Time-Compute-for-Agentic-Coding-: paper implementation of Meta Ai

paper link : https://arxiv.org/abs/2604.16529v1

As far as I know, there is no public implementation of this paper yet, so I built a minimal research implementation of the core PDR+RTV pipeline.

I made project to run gemini-3.1-pro model and test on SWE benchmark(In paper, there is one more benchmark and used models such as opus and more)

Need gemini-api-key to run.

submitted by /u/Round_Apple2573
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