itwanger/paicoding

⭐️一款好用又强大的开源社区,基于 Spring Boot、MyBatis-Plus、MySQL、Redis、ElasticSearch、MongoDB、Docker、RabbitMQ...

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itwanger/paicoding has 3k+ stars and 600+ forks on GitHub, is written in Java, and was last pushed on Sep 1, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 14 minutes ago
Added to GitGenius on September 21st, 2026
Created on July 6th, 2022
Open Issues & Pull Requests: 28 (+0)
GitHub issues: Enabled
Number of forks: 619
Total Stargazers: 3,194 (+0)
Total Subscribers: 24 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.9 days
Mean response time: 54.1 days
90th percentile: 222.7 days
Tracked items: 19

Charts & Analytics

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Issue Activity (beta)

Open issues: 15
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 618 days
Stale 30+ days: 15
Stale 90+ days: 14

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (9)
  • discuss (8)
  • feature (3)

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Detailed Description

Paicoding is an open-source community platform built on Spring Boot, MyBatis-Plus, MySQL, Redis, Elasticsearch, MongoDB, Docker, and RabbitMQ.

The project addresses the need for a practical learning environment where developers can study core backend technologies through a working application. Rather than isolated tutorials, it embeds learning within a functional community platform, allowing developers to see how technologies like caching, search, message queues, and distributed systems integrate in a real system. The platform includes detailed educational materials covering Java, Spring, MySQL, Redis, microservices, distributed systems, and message queue patterns.

Paicoding suits developers seeking to learn modern Java backend development through hands-on exploration of a complete application rather than fragmented documentation. It works well for those building community or content-sharing platforms who want both a reference implementation and a learning resource. The project is particularly valuable for teams adopting the specific technology stack it demonstrates, as it provides working examples of how these components interact at scale.

The project maintains steady activity with regular commits across its codebase, indicating ongoing development and maintenance. Pull requests are reviewed and merged consistently, showing active collaboration on improvements and contributions. The project sustains engagement with its community through issue tracking and response, suggesting the maintainers remain responsive to user needs and bug reports.