liyupi/yu-ai-code-mother - Open Source PR Review Scorecard

编程导航 AI + 微服务全栈新项目,基于 Spring Boot 3 + LangChain4j 的大厂 AI 应用生成平台,支持多种模式的智能代码生成、可视化编辑预览、一键部署分享、应用管理、AI 智能路由等。覆盖 AI 智能体开发、LangGraph4j 工作流、Tool Calling、SSE、Vue 3 全栈开发、Spring Cloud 微服务架构、MySQL / Redis / COS / Caffeine 存储、Nginx、多种设计模式、ARMS + Prometheus + Grafana 监控、Cursor Vibe Coding 等核心技术。 用一套教程掌握大厂级 AI 智能体开发+前后端核心技术,成为 AI 时代企业的香饽饽,给你的简历增加竞争力

C-Rank Grade: D (Risky) - 25/100

External PR Merge Rate: -

Response Time: <1h

First Timer Success: -

Frequently Asked Questions

Is liyupi/yu-ai-code-mother welcoming to first-time open-source contributors?

liyupi/yu-ai-code-mother has a recorded first-timer success rate of 0.0%. Repositories ranked D typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in liyupi/yu-ai-code-mother respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 25.5 C-Rank™ score (D Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 25.5 places liyupi/yu-ai-code-mother in the D tier.

What is the external contributor pull request merge rate for liyupi/yu-ai-code-mother?

The external contributor pull request merge rate for liyupi/yu-ai-code-mother is 0.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in liyupi/yu-ai-code-mother?

liyupi/yu-ai-code-mother does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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liyupi/yu-ai-code-motherDRisky1.9k
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liyupi/yu-ai-code-mother

1,892
DRisky(25/100)Java

编程导航 AI + 微服务全栈新项目,基于 Spring Boot 3 + LangChain4j 的大厂 AI 应用生成平台,支持多种模式的智能代码生成、可视化编辑预览、一键部署分享、应用管理、AI 智能路由等。覆盖 AI 智能体开发、LangGraph4j 工作流、Tool Calling、SSE、Vue 3 全栈开发、Spring Cloud 微服务架构、MySQL / Redis / COS / Caffeine 存储、Nginx、多种设计模式、ARMS + Prometheus + Grafana 监控、Cursor Vibe Coding 等核心技术。 用一套教程掌握大厂级 AI 智能体开发+前后端核心技术,成为 AI 时代企业的香饽饽,给你的简历增加竞争力

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Response Velocity
<1 hour
⚡ Fast reviewer response

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
0.0%
Selective PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
0.0%
No first-timer merges recorded in window

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
2 core
Small core review team
Diagnostic Health HUD
0.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe30/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for liyupi/yu-ai-code-mother
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Active Good First Issues (0)

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No cached good first issues currently tracked for liyupi/yu-ai-code-mother.

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Contributor Community Vibe Feedback

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Have you contributed to this repo?

Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.

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Maintainer helpfulness
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Beginner friendliness

Contributor Compatibility & Review Speed Analysis for liyupi/yu-ai-code-mother

When evaluating whether to contribute to liyupi/yu-ai-code-mother, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of liyupi/yu-ai-code-mother acknowledge new external contributions in approximately <1 hour. Out of all submitted pull requests from non-core authors in the last 180-day window, 0.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to liyupi/yu-ai-code-mother

01

Is liyupi/yu-ai-code-mother welcoming to first-time open-source contributors?

liyupi/yu-ai-code-mother has a recorded first-timer success rate of 0.0%. Repositories ranked Risky typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~<1 hour. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 25.5 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 25.5 places liyupi/yu-ai-code-mother in the Risky tier.

04

What is the external contributor pull request merge rate for liyupi/yu-ai-code-mother?

The external pull request merge rate is 0.0%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in liyupi/yu-ai-code-mother?

liyupi/yu-ai-code-mother does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for liyupi/yu-ai-code-mother are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.