Open Code Review for AI-assisted developer workflows
Last updated Jun 16, 2026
Key capabilities that make Open Code Review stand out.
Source-backed GitHub project: Canonical project page is the public GitHub repository at https://github.com/alibaba/open-code-review.
AI developer workflow focus: Open-source & free — Battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in fine-tuned ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.
Open-source evaluation path: Builders can inspect the README, source code, license, issues, and recent commits before adoption.
Agent workflow fit: Useful for teams testing coding agents, code review automation, or controlled AI engineering loops.
Who benefits most from this tool.
Evaluate Open Code Review in a sandbox before adopting it for agent-assisted development work.
Use the GitHub README and source to test whether the tool improves coding-agent planning, review, or execution.
Assess whether the project can become part of an internal AI developer tooling stack.
Advancing open-source AI with Qwen
Large language models from the same organization.
| Model | Context Window | Price (In / Out per M) |
|---|---|---|
| Qwen3.6 PlusCurrent | 1.0M | $0.33 / $1.95 |
| Qwen3.5-9BCurrent | 262K | $0.10 / $0.15 |
| Qwen3.5-35B-A3BCurrent | 262K | $0.16 / $1.30 |
| Qwen3.5-27BCurrent | 262K | $0.20 / $1.56 |
| Qwen3-VLCurrent | 131K | $0.20 / $0.60 |
Latest coverage and updates.
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