Nov 5
GPT-6 Cyber Security Evaluation: CodeRabbit’s Results
Across 33 benchmark cases, CodeRabbit’s ensemble with GPT-6 Cyber caught 22 known issues versus 19 without it and reported 66% more high- and medium-severity findings.
CodeRabbit · Company blog · 9.5 a month · 112 posts since Oct 22, 2023
Nov 5
Across 33 benchmark cases, CodeRabbit’s ensemble with GPT-6 Cyber caught 22 known issues versus 19 without it and reported 66% more high- and medium-severity findings.
Nov 3
Testing a suspected vulnerability takes more than sending a request and checking the response. Runtime Verification in CodeRabbit Secure turns a Deep Scan finding into a Reproducer Guide, runs it with Runtime Analysis in a prepared...
Oct 28
Attackers now point AI at unfamiliar code to trace workflows and probe the assumptions its authors made. Deep Scan in CodeRabbit Secure does the same for your team first: it investigates committed code, verifies findings independently, and...
Oct 27
CodeRabbit Secure now goes beyond the point-in-time scan, with cross-repo security analysis, runtime verification, and enforceable merge checks that keep security connected to your code as it changes.
Oct 24
CodeRabbit is making up to $1 million in Deep Scan usage available at no cost until November 8. Any organization with two or more members, from open-source projects to current, former, and new customers, can access up to $5,000 per...
Oct 22
CodeRabbit is now available in the Grok Build Plugin Marketplace, connecting agentic development with independent code review and governance.
Oct 21
Kunal Kushwaha on technical fundamentals, product judgment, code review, and running LLMs locally as AI coding agents take on more implementation work.
Oct 13
CodeRabbit is joining Cursor Origin’s app marketplace as a launch partner, bringing independent validation to pull requests hosted natively on Origin so teams can ship agent-written code with confidence.
Oct 8
See which open-source projects ran the most CodeRabbit reviews in September and how we’re backing maintainers through a commitment of more than $10 million to open source.
Oct 7
Bring the people who know each part of a coding task into one shared Slack Code channel, where they can shape the spec and build with CodeRabbit Agent for Slack.
Oct 6
CodeRabbit Security led three other systems in our vulnerability-detection benchmark. Here’s what we tested and how we scored it.
Oct 5
Independent AI code review gives teams evidence to trust proposed changes, supported by CodeRabbit’s governance and control layer for agentic software development.
Oct 1
TypeSafe's Allie Laabs explains how to find Jev-shaped problems in your code, why you should ask every question up front, and why coding agents still need help getting it right.
Sep 29
OpenAI customers can apply their existing OpenAI spend commitment towards CodeRabbit through the OpenAI Marketplace, simplifying procurement.
Sep 28
We benchmarked Claude Sonnet 5.5 for AI code review against Sonnet 5 and Opus 5.5: which bugs it catches, how fast it reviews, and what a review costs.
Sep 25
Cua AI co-founder Francesco Bonacci explains why developers need to check whether AI agents finish the job, even when the tools they use work correctly.
Sep 23
Agents can open a pull request that spans an API, a migration, and tests in minutes. Change Stack connects the change’s intent, behavior, and dependencies to the code so reviewers can verify the explanation before they merge.
Sep 22
We tested Opus 5.5 against our production reviewer to see which bugs it catches, which it misses, and whether higher reasoning effort actually improves the results.
Sep 18
TRM Labs’ Rahul Raina and CodeRabbit’s Harjot Gill on choosing, validating, and shipping work as agents take on more development.
Sep 18
CodeRabbit Triage brings priority, risk, ownership, and next-action context into the pull request queue so reviewers know where their attention is needed.
Sep 15
CodeRabbit Triage brings priority, risk, ownership, and next-action context into the pull request queue so reviewers know where their attention is needed.
Sep 10
Agents can write, test, and revise code across much of the delivery process. But teams still need a reliable way to decide which changes can move automatically and which require accountable human review.
Sep 9
Engineering taste develops through experience, exploring alternatives, and learning from use. How can teams preserve those opportunities in an agentic SDLC?
Sep 4
See CodeRabbit’s GPT-6 Astra evaluation: cross-file bug detection, review findings, customer data protection, and the trade-offs in API cost.
Sep 3
Kent C. Dodds explains why product judgment, system understanding, and ownership become more valuable as AI agents take on more implementation work.
CodeRabbit's own blog, found on coderabbit.ai by the daily check; not reviewed yet.
AI and agents (18), Developer tools (16), Product and company (10) in the last six months.
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Official checkSep 25
not reviewed to official: on coderabbit.ai