When it comes to writing software, getting feedback is a critical part of the process, ensuring that bugs in the newly written code can be caught early, before a pull request is submitted. But with the rise of artificial intelligence coding bots, developers are shipping more code than ever before, overwhelming human reviewers.<\/p>\n
Anthropic PBC<\/a> has come up with a solution, announcing today the availability of Code Review in Claude Code<\/a>, a new multi-agent system that\u2019s designed to spot bugs in AI-generated code before a human reviewer ever sees it.<\/p>\n The new product is meant to review pull requests, which are a mechanism used by developers to submit code changes for review before they\u2019re implemented in the software. With most developers using tools like Claude Code to accelerate their output, there has been a dramatic increase in the number of pull requests at many organizations, creating a new bottleneck in software development.<\/p>\n The launch of Code Review comes at a critical juncture in Anthropic\u2019s story. Earlier today, the company filed two lawsuits<\/a> against the U.S. Department of Defense after it was designated<\/a> as a supply chain risk. The designation threatens to derail Anthropic\u2019s booming government business, so it makes sense that the company wants to double down on its enterprise customer base, where subscriptions have quadrupled since the beginning of the year.<\/p>\n Claude Code is the company\u2019s most popular enterprise product<\/a>, and its annual revenue run-rate recently surpassed $2.5 billion. It\u2019s hoped that Code Review will help to make its coding tool even more attractive.<\/p>\n Anthropic has previously integrated code checking capabilities within Claude Code, giving it the ability to review its own work. In addition, there\u2019s a Claude Code GitHub Action tool that can be set up to automatically review code<\/a> as part of a company\u2019s continuous integration\/continuous development pipeline. But Code Review is meant to go further and conduct more comprehensive reviews, although companies will have to pay a high price for the privilege.<\/p>\n Code Review notably takes much more time to review each pull request, and as it works its way through the code it will explain its reasoning step-by-step, Anthropic said. For each potential bug it finds, it will outline what the issue is and explain why it\u2019s likely to be problematic. It will also offer a recommended fix for that issue. It will label each problem it surfaces according to its severity, with red used for the most severe issues, yellow for possible problems that need review, and purple for issues tied to pre-existing code and historical bugs.<\/p>\n \ufeff<\/p>\n According to Anthropic, Code Review does this by relying on multiple AI agents that work in parallel, with each one examining the codebase from a different perspective. Once that\u2019s done, another agent will come in to aggregate and rank the findings of those agents, remove any duplicate issues and prioritize them based on their order of importance.<\/p>\n It\u2019s extremely comprehensive, but that kind of attention to detail doesn\u2019t come cheap. With so many agents involved in the process, customers are going to burn through a lot of tokens. \u201cReviews are billed on token usage and generally average $15 to $25, scaling with pull request size and complexity,\u201d the company said. That\u2019s definitely not cheap. In contrast, a service such as Code Rabbit, which also uses AI to review pull requests, charges $24 per month.<\/p>\n Code Review is also on the slow side. Anthropic said the time it takes to review each pull request will vary, but averages around 20 minutes to complete.<\/p>\n Despite this, Anthropic promised that customers will be delighted with the results. It said it has been using the tool internally for several months, and claims that large pull requests of more than 1,000 changed lines, 84% of its reviews found something of note, and about 7.5 issues on average. For smaller pull requests of less than 50 lines, 31% were flagged with an average of 0.5 issues found.<\/p>\n The company said it has caught some significant bugs too. In one instance involving internal code, the tool flagged a single, innocuous-looking change to a production service that would have disrupted its authentication mechanism.<\/p>\n Code Review is available now in research preview for Claude Code Team and Enterprise subscribers.<\/p>\n Image: Anthropic<\/p>\n Support our mission to keep content open and free by engaging with theCUBE community. Join theCUBE\u2019s Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities.<\/p>\n 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more About SiliconANGLE Media<\/p>\n SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE<\/a>, theCUBE Network<\/a>, theCUBE Research<\/a>, CUBE365<\/a>, theCUBE AI<\/a> and theCUBE SuperStudios \u2014 with flagship locations in Silicon Valley and the New York Stock Exchange \u2014 SiliconANGLE Media operates at the intersection of media, technology and AI.<\/p>\n Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.<\/p>\n","protected":false},"excerpt":{"rendered":"When it comes to writing software, getting feedback is a critical part of the process, ensuring that bugs…\n","protected":false},"author":2,"featured_media":338496,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[220,155293,218,219,61,60,13064,13065,80],"class_list":["post-338495","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-anthropic-debuts-extremely-efficient-but-pricey-code-checking-tool-for-developers","tag-artificial-intelligence","tag-artificialintelligence","tag-ie","tag-ireland","tag-mike-wheatley","tag-siliconangle","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts\/338495","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/comments?post=338495"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts\/338495\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/media\/338496"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/media?parent=338495"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/categories?post=338495"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/tags?post=338495"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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