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Description
DevIntern streamlines the journey from a raw concept to a consolidated pull request using the tools your team is familiar with. With @devintern/pm, vague task outlines, brief notes, design sketches, and bug reports are transformed into detailed tickets that engineers can readily work on. Meanwhile, @devintern/code takes these tickets, implements them utilizing your preferred AI agent, conducts self-reviews of code changes before any human involvement, and automatically addresses reviewer feedback on the resulting pull request.
The challenge lies in the fact that while AI has accelerated the coding process, all associated tasks—like drafting specifications, initiating pull requests, addressing review comments, and maintaining synchronization with project trackers—remain time-consuming and can consume hours. This additional burden is where potential productivity improvements diminish. DevIntern efficiently streamlines the entire process, ensuring that the rapid output from your AI tools translates into successfully shipped tickets rather than merely quicker typing. Furthermore, this approach empowers non-technical team members—such as project managers, designers, founders, and support staff—to contribute to shipping actual code and features from start to finish, eliminating delays caused by dependency on engineering resources. Ultimately, this fosters a more collaborative environment where everyone can participate in the development process.
Description
Open Code Review is a command-line interface for code evaluation powered by artificial intelligence, originating from Alibaba's robust internal code review tool and tested through millions of practical applications. It analyzes Git diffs, communicates with a configurable language model via an agent capable of utilizing various tools, and produces organized review feedback with exact line references. Instead of limiting itself to the visible differences, the agent has the ability to access entire files, browse the codebase, examine related modifications, and cross-check context, which allows it to identify more significant issues. Its hybrid structure distinguishes between deterministic engineering functions—such as filtering files, dividing tasks, routing rules, scheduling, and positioning lines—and the reasoning of the language model for detecting risks, exploring context, and classifying problems. Additionally, a specialized reflection module is included to catch any inaccuracies or knowledge gaps before the feedback is delivered. Users can modify the review depth, adjusting it from minimal to extensive based on their need for either rapid assessments or comprehensive evaluations. This flexibility ensures that developers can tailor the review process to their specific project demands.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Alibaba Cloud
Anthropic
C
C++
DeepSeek
Git
Go
Java
Kotlin
Model Context Protocol (MCP)
Integrations
Alibaba Cloud
Anthropic
C
C++
DeepSeek
Git
Go
Java
Kotlin
Model Context Protocol (MCP)
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DevIntern
Founded
2026
Country
Vietnam
Website
devintern.com
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
open-codereview.ai/