•1 min read•from Machine Learning
I implemented meta paper [P]
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I am excited to share my implementation of the Meta AI paper titled "Scaling Test Time Compute for Agentic Coding," available on GitHub at genji970/Scaling-Test-Time-Compute-for-Agentic-Coding. This project features a minimal research implementation of the core PDR+RTV pipeline, a crucial contribution as there are currently no public implementations of this paper. The project runs the Gemini-3.1-pro model and tests it on the SWE benchmark, among others. To get started, you will need a Gemini API key. Explore this innovative approach to enhance your coding efficiency!
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.
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