SWE-Gym/SWE-Gym

• hightopics#1

  Add relevant topics to the repository

  Why:

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  software-engineering, ai-agents, llm-agents, evaluation-framework, benchmarking, machine-learning, artificial-intelligence, swe-bench

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• highreadme#2

  Reposition the README's opening paragraph to emphasize evaluation

  Why:

  CURRENT

  We present **SWE-Gym**, the first environment for training real-world software engineering agents. We use it to train strong LM agents that achieve state-of-the-art open results on SWE-Bench, with early, promising scaling characteristics as we increase training and inference-time compute.

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  We present **SWE-Gym**, a novel environment and benchmark for training and rigorously evaluating real-world software engineering agents. It provides a standardized framework to measure the performance of LM agents on complex software development and verification tasks, achieving state-of-the-art results on SWE-Bench.

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• mediumcomparison#3

  Add a section comparing SWE-Gym to general ML evaluation tools

  Why:

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  Add a new section titled 'Why SWE-Gym? How We Compare' or 'SWE-Gym vs. Other Evaluation Frameworks' that briefly explains how SWE-Gym specifically addresses the unique challenges of evaluating software engineering agents, differentiating it from general ML experiment tracking or model evaluation tools like MLflow or Hugging Face Evaluate.

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How can I train AI agents to automate software development and verification tasks?

  you: not recommended
  AI recommended (in order):

  1. OpenAI API
  2. LangChain
  3. Hugging Face Transformers

  AI recommended 3 alternatives but never named SWE-Gym/SWE-Gym. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  Looking for a framework to evaluate the performance of AI models in software engineering.

  you: not recommended
  AI recommended (in order):

  1. MLflow
  2. Weights & Biases
  3. TensorBoard
  4. Hugging Face Evaluate
  5. Deepchecks
  6. Sklearn.metrics
  7. Pandas
  8. NumPy

  AI recommended 8 alternatives but never named SWE-Gym/SWE-Gym. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of SWE-Gym/SWE-Gym?

  pass
  ✓AI named SWE-Gym/SWE-Gym explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts SWE-Gym/SWE-Gym in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named SWE-Gym/SWE-Gym explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo SWE-Gym/SWE-Gym solve, and who is the primary audience?

  pass
  ✓AI named SWE-Gym/SWE-Gym explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?