RRepoGEO

REPOGEO REPORT · LITE

walkinglabs/learn-harness-engineering

Default branch main · commit de9d1ff4 · scanned 5/10/2026, 2:53:33 AM

GitHub: 3,621 stars · 349 forks

AI VISIBILITY SCORE
28 /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
2 / 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 walkinglabs/learn-harness-engineering, 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 specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ["harness-engineering", "ai-agents", "ai-development", "course", "tutorial", "education", "agent-development", "ai-coding-agents"]
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    (Choose and add a standard open-source license file, e.g., MIT, Apache-2.0, GPL-3.0, to the repository root.)
  • mediumabout#3
    Refine the repository's 'About' description

    Why:

    CURRENT
    Harness engineering official style beginner tutorial, from 0 to 1
    COPY-PASTE FIX
    A project-based course and tutorial on Harness Engineering for reliable AI coding agents, from beginner to advanced.

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 walkinglabs/learn-harness-engineering
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Microsoft Semantic Kernel · recommended 1×
  4. pytest · recommended 1×
  5. Jest · recommended 1×
  • CATEGORY QUERY
    What are effective strategies for building reliable and verifiable AI coding agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. pytest
    5. Jest
    6. Playwright
    7. Selenium
    8. Hypothesis
    9. Coq
    10. Lean
    11. TLA+
    12. Loguru
    13. OpenTelemetry
    14. LangSmith
    15. Weights & Biases
    16. Arize AI
    17. Git

    AI recommended 17 alternatives but never named walkinglabs/learn-harness-engineering. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a beginner course on AI agent environment and state management?
    you: not recommended
    AI recommended (in order):
    1. DeepMind x UCL Reinforcement Learning Course
    2. Coursera's Reinforcement Learning Specialization
    3. Udacity's Reinforcement Learning Nanodegree
    4. Reinforcement Learning: An Introduction by Sutton and Barto
    5. freeCodeCamp.org's Reinforcement Learning Course for Beginners
    6. OpenAI Gym

    AI recommended 6 alternatives but never named walkinglabs/learn-harness-engineering. 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 walkinglabs/learn-harness-engineering?
    pass
    AI named walkinglabs/learn-harness-engineering explicitly

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

  • If a team adopts walkinglabs/learn-harness-engineering in production, what risks or prerequisites should they evaluate first?
    pass
    AI named walkinglabs/learn-harness-engineering 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 walkinglabs/learn-harness-engineering solve, and who is the primary audience?
    pass
    AI did not name walkinglabs/learn-harness-engineering — 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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walkinglabs/learn-harness-engineering — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite