piomin/sample-spring-kafka-microservices - Open Source PR Review Scorecard

Example microservices showing how to use Kafka and Kafka Streams with Spring Boot on the example of distributed transactions implementations with the SAGA pattern

C-Rank Grade: B (Solid) - 49/100

External PR Merge Rate: 93%

Response Time: -

First Timer Success: 100%

Frequently Asked Questions

Is piomin/sample-spring-kafka-microservices welcoming to first-time open-source contributors?

piomin/sample-spring-kafka-microservices has a recorded first-timer success rate of 100.0%. Repositories ranked B 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 piomin/sample-spring-kafka-microservices 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 49.3 C-Rank™ score (B 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 49.3 places piomin/sample-spring-kafka-microservices in the B tier.

What is the external contributor pull request merge rate for piomin/sample-spring-kafka-microservices?

The external contributor pull request merge rate for piomin/sample-spring-kafka-microservices is 92.9%, based on public PR activity from non-core contributors.

Are there Good First Issues available in piomin/sample-spring-kafka-microservices?

piomin/sample-spring-kafka-microservices does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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piomin/sample-spring-kafka-microservices

430
Active (30d)B•Solid(49/100)Low Sample (<20 PRs)Java

Example microservices showing how to use Kafka and Kafka Streams with Spring Boot on the example of distributed transactions implementations with the SAGA pattern

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.5/10
Patience Score
8.2/10
Nitpick Rate
20%

Collaborative maintainer environment in piomin/sample-spring-kafka-microservices. Reviews community pull requests with focus on project quality.

What Contributors Actually Say

Discussions in piomin/sample-spring-kafka-microservices focus heavily on practical implementation feedback, code formatting standards, and issue reproduction details.

Hidden Friction Signals

Unlinked PRs without issue context and changes that fail automated test suites face the highest review friction.

Unwritten Rules

  • •1) Keep PR scope strictly aligned with the linked issue.
  • •2) Ensure local linters pass before opening a review.
  • •3) Maintain full test coverage for modified logic.

Top PR Submission Do's

  • •Ensure code complies with the project coding style
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit PRs without linking an issue
  • •Do not break existing tests without fixing them
  • •Do not mix unrelated refactors in a single PR
Response Velocity
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
92.9%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
100.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
CRITICAL BUS FACTOR
Single maintainer
No active GitHub maintainers found (may review internally on Gerrit or internal tools)
Diagnostic Health HUD
92.9%
Merge Gauge
100.0%
1st-Timer
Community Vibe67/100

Embed C-Rank Badge

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

GetMerged C-Rank badge for piomin/sample-spring-kafka-microservices
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/piomin/sample-spring-kafka-microservices)](https://getmerged.abhishekco.de/piomin/sample-spring-kafka-microservices?utm_source=github&utm_medium=badge)

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for piomin/sample-spring-kafka-microservices.

View all good first issues directly on GitHub

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Contributor Community Vibe Feedback

Rate what actually matters after opening a pull request here.

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
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for piomin/sample-spring-kafka-microservices

When evaluating whether to contribute to piomin/sample-spring-kafka-microservices, 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 piomin/sample-spring-kafka-microservices acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 92.9% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to piomin/sample-spring-kafka-microservices

01

Is piomin/sample-spring-kafka-microservices welcoming to first-time open-source contributors?

piomin/sample-spring-kafka-microservices has a recorded first-timer success rate of 100.0%. Repositories ranked Solid 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 49.3 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 49.3 places piomin/sample-spring-kafka-microservices in the Solid tier.

04

What is the external contributor pull request merge rate for piomin/sample-spring-kafka-microservices?

The external pull request merge rate is 92.9%. 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 piomin/sample-spring-kafka-microservices?

piomin/sample-spring-kafka-microservices 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 piomin/sample-spring-kafka-microservices 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.