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add AGENTS.md for AI-assisted development - #3483
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C-Achard
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C-Achard
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Let me know if you agree, otherwise very nice!
| ## DeepLabCut | ||
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| DeepLabCut is a scientific Python toolbox for markerless pose estimation. | ||
| Prioritize correctness, preservation of user data, and public API compatibility. |
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Should we mention backwards compatibility and reproducibility here?
| - Treat aliases, deprecations, and default values as intentional user-facing | ||
| behavior. Prefer aliases and explicit deprecation warnings over silently | ||
| renaming or removing inputs. | ||
| - Prefer `pathlib.Path`; do not assume POSIX paths. Isolate and document |
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Would adding the absolute/resolve nuance for e.g. network drives be too specific?
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A few things that could make our life easier (not sure if they would interfere):
- Prefer issue-based bookkeeping for user-visible bugs, regressions, and behavior
changes when practical. Link related issues from pull requests and preserve
useful reproduction details, but do not require a new issue for trivial or
self-contained changes. - Keep discussion focused on code, behavior, and reproducible conditions. Do
not assign fault to users, contributors, or other individuals. Describe
problems neutrally and propose constructive next steps.
| DeepLabCut is a scientific Python toolbox for markerless pose estimation. | ||
| Prioritize correctness, preservation of user data, and public API compatibility. | ||
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| DeepLabCut is PyTorch-first. TensorFlow is being deprecated, but legacy support |
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This will need an update (not sure we will remember) and models will waste time looking for TF at some point
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| - Preserve labels, scorer names, dataframe structure, coordinate conventions, | ||
| identities, and project metadata unless the task explicitly requires | ||
| changing them. | ||
| - Use repository tooling where available. Treat repository source and |
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We may want to test this in practice and refine based on how much context/usage it contributes to.
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Co-authored-by: Cyril Achard <cyril.achard@epfl.ch>
Co-authored-by: Cyril Achard <cyril.achard@epfl.ch>
Co-authored-by: Cyril Achard <cyril.achard@epfl.ch>
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Add a brief AGENTS.md file with domain-specific knowledge and developers instructions that match our guidelines.
This aligns AI-assisted development for DeepLabCut more with our requirements, and can help agents to better find what they need.