augmentcode/augment-swebench-agent

• hightopics#1

  Add relevant topics to improve categorization

  原因：

  复制粘贴的修复

  复制

  swe-bench, ai-agent, software-engineering, llm-agent, code-generation, autonomous-agent, benchmark

  待办完成忽略
• highreadme#2

  Reposition the README's opening to clearly state it's an agent

  原因：

  当前

  # Augment SWE-bench Verified Agent
  
  SWE-bench Verified tests how well AI systems handle software engineering tasks pulled from actual GitHub issues in popular open-source projects. Some example problems can be found in OpenAI’s original blog post on the benchmark. Where most coding benchmarks focus on isolated Leetcode-style programming problems, SWE-bench involves codebase navigation, iterating against a suite of regression tests, and overall much more complexity.

  复制粘贴的修复

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  # Augment SWE-bench Verified Agent
  
  This repository provides the #1 open-source implementation of an AI agent designed to solve realistic software engineering tasks on the SWE-bench Verified benchmark. Unlike isolated coding problems, our agent tackles complex codebase navigation, iterative testing, and problem-solving directly from GitHub issues, achieving a 65.4% success rate.

  待办完成忽略
• mediumreadme#3

  Clarify the existing license in the README

  原因：

  复制粘贴的修复

  复制

  ## License
  
  This project is licensed under [describe your license here, e.g., a custom license combining X and Y, or refer to the LICENSE file for full details].

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to evaluate AI agents on realistic software engineering tasks from open-source projects?

  你：未被推荐
  AI 推荐顺序：

  1. SWE-bench (swe-bench/swe-bench)
  2. HumanEval (openai/human-eval)
  3. MultiPL-E (nuprl/MultiPL-E)
  4. CodeContests (deepmind/code_contests)
  5. CodeXGLUE (microsoft/CodeXGLUE)
  6. GitHub Pull Requests
  7. Docker
  8. GitHub Actions
  9. GitLab CI/CD
  10. AWS EC2
  11. Google Cloud Compute Engine
  12. SonarQube (SonarSource/sonarqube)
  13. Pylint (PyCQA/pylint)
  14. ESLint (eslint/eslint)
  15. Checkstyle (checkstyle/checkstyle)
  16. AFL++ (AFLplusplus/AFLplusplus)
  17. Hypothesis (HypothesisWorks/hypothesis)
  18. JaCoCo (jacoco/jacoco)
  19. Coverage.py (nedbat/coveragepy)
  20. Istanbul (istanbuljs/istanbuljs)
  21. cProfile
  22. JProfiler
  23. perf

  AI 推荐了 23 个替代方案，却始终没点名 augmentcode/augment-swebench-agent。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Seeking an open-source agent to benchmark AI performance on complex software development challenges.

  你：未被推荐
  AI 推荐顺序：

  1. SWE-agent
  2. AutoGPT
  3. GPT-Engineer
  4. OpenDevin
  5. AgentBench
  6. MetaGPT

  AI 推荐了 6 个替代方案，却始终没点名 augmentcode/augment-swebench-agent。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of augmentcode/augment-swebench-agent?

  pass
  ⚠AI 未点名 augmentcode/augment-swebench-agent —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts augmentcode/augment-swebench-agent in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 augmentcode/augment-swebench-agent

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo augmentcode/augment-swebench-agent solve, and who is the primary audience?

  pass
  ⚠AI 未点名 augmentcode/augment-swebench-agent —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？