CodeRabbit announced that it is now
available on the popular Visual Studio Code editor (start a 14-day free trial here). The
integration brings CodeRabbit's AI code reviews directly into Cursor, Windsurf,
and VS Code at the earliest stages of software development-inside the code
editor itself - at no cost to the developers.
This new support enhances CodeRabbit's multi-layered review approach:
continuing to operate within the Git platform, where all code commits come
together to ensure no changes are missed, and now also adding a second layer
within the IDE for real-time, in-editor reviews, that are free for individual
developers (rate limits apply).
"The importance of AI code reviews has amplified in recent years as the
pace and complexity of software development have increased dramatically because
of the widespread adoption of AI-generated code and the need to deliver
high-quality software faster than ever before," said Arnal Dayaratna, Research
Vice President, Software Development, IDC. "Traditional manual reviews struggle
to keep up with today's accelerated release cycles and the growing demands for
security and reliability. CodeRabbit's AI-powered code review tools provide the
automation, consistency, and contextual understanding needed to catch subtle
bugs, enforce best practices, and maintain code quality across large and
evolving codebases."
"If you look at the entire CI/CD pipeline, code review is the last
remaining process that's still manual-and it's a costly drag on the pace of
shipping software," said Gur Singh, co-founder and COO of CodeRabbit. "By
bringing CodeRabbit into VS CodeCursor, and Windsurf we're embedding AI at the
earliest stages of development, right where engineers work."
CodeRabbit is the #1
most installed AI app on the GitHub marketplace and one of OpenAI's largest
partners-providing AI code reviews that work seamlessly with any code
generation tool. In a world where AI is writing more code than ever before,
CodeRabbit solves a critical pain point: the faster we generate code, the greater
the need for consistent, high-quality review. Across nearly 5,000 paying
customers and 70,000+ open-source projects, CodeRabbit cuts manual review time
in half and detects twice as many bugs as manual reviews-saving teams thousands
per developer and speeding up code releases where it counts.
"The average engineering organization has thousands of tickets in Jira or
Linear, their own unique coding styles, and access to vast, evolving knowledge
domains through LLMs. Yet they're still stuck in the anti-pattern of using
static, isolated datasets for code reviews," Singh continued. "CodeRabbit
understands your entire codebase, gathers additional context from several
inputs and leverages foundational AI models to make code review smarter,
faster, and far more consistent."
A recent SmartBear study found that the average developer can only review
400 lines of code per day. Further slowing the review process is the limited
scope of linters and static code analyzers. Modern code review cycles require
developers to understand not just the quality and behavior of new code that has
been generated, but also to draw from many other dynamic contexts: coding
practices at the organization level, best practices and syntax in individual
programming languages, file dependencies that impact other parts of the code,
conformity to security policies, and more in order to deliver high-quality
reviews.
CodeRabbit is the first solution that makes the AI code review process
highly contextual-traversing code repositories in the Git platform, prior pull
requests and related Jira/Linear issues, user-reinforced learnings through a
chat interface, code graph analysis that understands code dependencies across
files, and custom instructions using Abstract Syntax Tree (AST) patterns. In
addition to applying learning models to engineering teams' existing
repositories and coding practices, CodeRabbit hydrates the code review process
with dynamic data from external sources like LLMs, real-time web queries, and
more.
Now, CodeRabbit brings these capabilities directly into the IDE, making the
developer's task much easier by incorporating its high-quality AI reviews into
the codebase, without any cost for reviews in the IDE. Developers now get AI
code reviews in two places: in the IDE when they are coding (individually for
each developer) and in the Git platform before merging code into production
(once across the entire team).
Ultimately, this two-pronged approach ensures even higher code quality with
less manual time spent in code reviews, thus improving developer productivity.
Try CodeRabbit free at: https://www.coderabbit.ai.