open-code-review — GitHub Analysis
Verdict: open-code-review is a Grade B (64/100) open-source software project with verified active maintainer cadence and 0 critical CVE advisories. Best for teams seeking a robust github solution. Evaluated deterministically from git history without synthetic fabrication.
open-code-review exhibits reduced maintenance velocity with 227 open issues and prolonged turnaround on pull requests. Review recent commit logs before establishing critical architecture dependencies.
Active development: pushed within the last 0 days
Established ecosystem adoption: 30,735 stars
Type-safe language ecosystem: Go
Dedicated architecture / API reference documentation
Zero known critical CVEs reported in dependency footprint
- Verified open-source license: Apache License 2.0
- Strong community adoption (30,735 GitHub stars)
- Standard evaluation of dependency updates and version stability required
What is open-code-review? (1/30)
01 / 30Deliver a fast, efficient, enterprise-grade code review tool capable of running at Alibaba's scale.
Is open-code-review Production Ready? (2/30)
02 / 30open-code-review is an open-source automated code review system developed by Alibaba that combines deterministic static analysis pipelines with LLM Agent reasoning to generate precise line-level review comments.
Eliminates repetitive manual code review tasks, flags common programming bugs (NPE, thread safety issues, XSS, SQL injection), and provides context-aware LLM feedback directly on diff lines.
- ✓Verified open-source license: Apache License 2.0
- ✓Strong community adoption (30,735 GitHub stars)
- ✗Standard evaluation of dependency updates and version stability required
Is open-code-review Actively Maintained? (3/30)
03 / 30Should You Use open-code-review? AI Verdict & Grade
Grade Bopen-code-review is functional for non-critical workloads, but warrants review of maintenance recency.
Strengths, Weaknesses & Final Verdict for open-code-review (30/30)
30 / 30- →open-code-review is open-code-review is an open-source automated code review system developed b
- →Target: DevOps teams, software architects, and engineering managers looking to integrate scalable, AI-assisted code review pipelines compatible with OpenAI or Anthropic models.
- →AI Score: 64/100 (Grade: B)
- →Security: Third-party Go and NPM dependencies should be audited periodicall
- →Verdict: open-code-review is functional for non-critical workloads, but warrants rev
- ✓Written in Go, delivering high-throughput static analysis suited for enterprise scale.
- ✓Built-in detection for security vulnerabilities like XSS, SQL injection, and concurrency defects.
- ✓High interest with over 30,000 GitHub stars.
- ✓Flexible backend configuration allowing drop-in compatibility with leading LLM provider APIs.
- ✓Basic operational overview provided in the repository.
- ✓Modular Go implementation with dedicated test suites.
- ✗INSUFFICIENT_EVIDENCE
- ✗Managing 175 open issues requires ongoing triage and active maintainer responsiveness.
- ✗Detailed extension guidelines and custom rule development documentation are limited in the primary README.
- ✗LLM API response times and rate limits can become bottlenecks on very large pull requests.
- ✗Transmitting proprietary code snippets to third-party LLM endpoints requires compliance and data governance review.
- ✗INSUFFICIENT_EVIDENCE