How to use Awesome Code as X: what you can do with it

3 use cases

• Shortlist Code-as-Policy robot papers that link to code

  Filter the list to Code-as-Policy entries with GitHub code for a robot project.

  • REPO kkakkkka/awesome-code-as-x
  • Research
  • Beginner
  View prompt

  Using the README of kkakkkka/awesome-code-as-x, list the Code as Policy entries that link to a GitHub repository, and for each one give the paper title, the arXiv link, and the GitHub link. Expected output: a table of 3 to 5 rows. Verify that every link appears verbatim in the README.

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• Test a coding agent on robot tasks with CaP-X or RLE-Bench

  Pick a benchmark from the list to measure how well a coding agent writes robot code.

  • REPO kkakkkka/awesome-code-as-x
  • Research
  • Intermediate
  View prompt

  Read the Benchmark section of the README in kkakkkka/awesome-code-as-x and compare RLE-Bench and CaP-X for a coding agent test on <robot task>. Expected output: a short comparison of task type, required inputs, and evaluation method for each benchmark. Verify that each claim is taken from the linked project page or the README.

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• Plan a video-to-Blender world program evaluation

  Use PhysCodeGym to test whether a coding agent rebuilds a video as a physical Blender scene.

  • REPO kkakkkka/awesome-code-as-x
  • Research
  • Advanced
  View prompt

  Using the PhysCodeGym entry in the kkakkkka/awesome-code-as-x README, write a plan to evaluate a coding agent that rebuilds <video name> as an executable Blender program. Expected output: a numbered plan with the dataset link, the agent steps, and the physics check to run. Verify that the plan uses only the linked repository and dataset.

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Quick start with Awesome Code as X

1. Check you have what it needs: A web browser to open the linked papers and project pages; Basic familiarity with robot manipulation or simulation terms; For reproduction: a GitHub account, git, and the hardware or simulator that a chosen project requires (the list does not state these).
2. Open kkakkkka/awesome-code-as-x on GitHub and read the README and license.
3. Open the Code as Policy section of the README and read the one-line description of each entry.
4. Note the entries that list a GitHub link, for example AGP, ASPIRE, ENPIRE, and GPT-Policy.
5. Open each candidate's arXiv link and project page and check the task type it targets.
6. git clone https://github.com/NVlabs/ASPIRE to inspect the code of one chosen candidate. (inferred, check the README)

These steps come from our top use case, Shortlist Code-as-Policy robot papers that link to code, which also has a copy-paste agent prompt.

Using the Deduped MCP, get the setup steps for kkakkkka/awesome-code-as-x

claude mcp add --transport http deduped https://dedupedai.com/mcp

Awesome Code as X alternatives · Best AI repos for Research

About this repo

• Who it is forRobotics and embodied AI researchers, and engineers who want to build or evaluate coding agents that control robots or simulators.
• Why it is hot123 stars, launched 43 days ago
• Sourcegithub.com/kkakkkka/awesome-code-as-x · Back to Hot repos

Requirements

• A web browser to open the linked papers and project pages
• Basic familiarity with robot manipulation or simulation terms
• For reproduction: a GitHub account, git, and the hardware or simulator that a chosen project requires (the list does not state these)

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