RRepoGEO

REPOGEO REPORT · LITE

augmentcode/augment-swebench-agent

Default branch main · commit 17d81338 · scanned 5/30/2026, 6:57:46 PM

GitHub: 872 stars · 153 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface augmentcode/augment-swebench-agent, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    swe-bench, ai-agent, software-engineering, llm-agent, code-generation, autonomous-agent, benchmark
  • highreadme#2
    Reposition the README's opening to clearly state it's an agent

    Why:

    CURRENT
    # 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.
    COPY-PASTE FIX
    # 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.
  • mediumreadme#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    ## 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].

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

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface augmentcode/augment-swebench-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
swe-bench/swe-bench
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. swe-bench/swe-bench · recommended 1×
  2. openai/human-eval · recommended 1×
  3. nuprl/MultiPL-E · recommended 1×
  4. deepmind/code_contests · recommended 1×
  5. microsoft/CodeXGLUE · recommended 1×
  • CATEGORY QUERY
    How to evaluate AI agents on realistic software engineering tasks from open-source projects?
    you: not recommended
    AI recommended (in order):
    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 recommended 23 alternatives but never named augmentcode/augment-swebench-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source agent to benchmark AI performance on complex software development challenges.
    you: not recommended
    AI recommended (in order):
    1. SWE-agent
    2. AutoGPT
    3. GPT-Engineer
    4. OpenDevin
    5. AgentBench
    6. MetaGPT

    AI recommended 6 alternatives but never named augmentcode/augment-swebench-agent. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of augmentcode/augment-swebench-agent?
    pass
    AI did not name augmentcode/augment-swebench-agent — likely talking about a different project

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

  • If a team adopts augmentcode/augment-swebench-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named augmentcode/augment-swebench-agent 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 augmentcode/augment-swebench-agent solve, and who is the primary audience?
    pass
    AI did not name augmentcode/augment-swebench-agent — likely talking about a different project

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

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augmentcode/augment-swebench-agent — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite