{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/CodeStruct","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/d7306143-c6f9-4905-a7bd-d8488ea1598b","json_url":"https://onlylabs.fyi/signals/d7306143-c6f9-4905-a7bd-d8488ea1598b/signal.json","generated_at":"2026-06-11T02:51:40.091822+00:00","org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/amazon","dossier_json_url":"https://onlylabs.fyi/labs/amazon/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/d7306143-c6f9-4905-a7bd-d8488ea1598b","signal_json":"https://onlylabs.fyi/signals/d7306143-c6f9-4905-a7bd-d8488ea1598b/signal.json","source":"https://github.com/amazon-science/CodeStruct","lab_dossier":"https://onlylabs.fyi/labs/amazon","lab_dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis":"https://onlylabs.fyi/analysis/amazon","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Amazon (Nova) published amazon-science/CodeStruct (Python). 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Pull requests are not being accepted in order to maintain the code exactly as it was used in the paper.** Overview **CodeStruct** reframes the codebase as a *structured action space* where LLM-based agents operate on named AST entities rather than text spans. It provides two structure-aware primitives: - **`readCode`** — retrieves complete syntactic units (functions, classes) via AST selectors, with fuzzy matching and adaptive file summarization - **`editCode`** — applies syntax-validated..."},"evidence_pages":[{"url":"https://github.com/amazon-science/CodeStruct","final_url":"https://github.com/amazon-science/CodeStruct","title":"amazon-science/CodeStruct repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T02:51:40.091822+00:00","bytes":20766,"raw_path":"530bb6c29746bf2f4074771f55fc726ef119fa5e0a345dbfea783fbcaa408825.json","content_hash":"ad73426f0fc1a79fc85f8c779ec0ebdb900abef0e9a18c3792e3a8ea62831782","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/CodeStruct Language: Python License: NOASSERTION Stars: 4 Forks: 0 Open issues: 0 Created: 2026-04-15T21:34:24Z Pushed: 2026-04-16T05:20:24Z Default branch: main Fork: no Archived: yes README: CodeStruct: Code Agents over Structured Action Spaces This repository contains the code and data for reproducing the results in: > **CodeStruct: Code Agents over Structured Action Spaces** > Myeongsoo Kim, Joe Hsu, Dingmin Wang, Shweta Garg, Varun Kumar, Murali Krishna Ramanathan > *ACL 2026 (Main Conference)* **This code is being released solely for academic and scientific reproducibility purposes, in support of the methods and findings described in the associated publication. Pull requests are not being accepted in order to maintain the code exactly as it was used in the paper.** Overview **CodeStruct** reframes the codebase as a *structured action space* where LLM-based agents operate on named AST entities rather than text spans. 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