{"id":11676,"date":"2024-05-30T09:01:27","date_gmt":"2024-05-30T01:01:27","guid":{"rendered":"https:\/\/www.1ai.net\/?p=11676"},"modified":"2024-05-30T09:01:27","modified_gmt":"2024-05-30T01:01:27","slug":"trag%ef%bc%9a%e4%b8%80%e4%b8%aaai%e4%bb%a3%e7%a0%81%e5%ae%a1%e6%9f%a5%e5%b7%a5%e5%85%b7%ef%bc%8c%e5%b8%ae%e5%8a%a9%e5%b7%a5%e7%a8%8b%e5%b8%88%e5%9b%a2%e9%98%9f%e6%9b%b4%e5%bf%ab%e5%9c%b0%e8%bf%9b","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/11676.html","title":{"rendered":"Trag: An AI code review tool that helps engineering teams conduct code reviews faster"},"content":{"rendered":"

\"1716974252244981\"<\/p>\n

Trag<\/a>It is an AICode Review<\/a>A tool that helps engineering teams conduct code reviews faster and save senior engineers time. Trag makes the code review process more efficient by providing AI-reviewed code.<\/p>\n

Trag function<\/strong><\/span><\/h2>\n
    \n
  1. Find bugs early: Trag can find potential bugs before code review, helping engineers solve problems before code review.<\/li>\n
  2. Create custom rules: Users can create custom rules based on the needs of the team to meet different usage scenarios.<\/li>\n
  3. Automatic repair: Trag can automatically fix problems in the code. Users can monitor the progress of the repair and obtain the repaired code through PR.<\/li>\n
  4. Connect multiple repositories: Users can connect to multiple repositories to facilitate code management and review.<\/li>\n
  5. Analysis Tools: Trag provides analysis tools for code review to help users make decisions faster.<\/li>\n<\/ol>\n

    Features:<\/strong><\/p>\n

    1. Complex code understanding: Trag has the context of multiple repositories, which can better understand complex code.<\/p>\n

    2. Semantic Code Analysis: Trag can understand the reasons and purpose behind the code and perform semantic analysis.<\/p>\n

    3. Predictive bug detection: Trag continuously monitors the code to find potential problems and room for improvement.<\/p>\n

    4. Refactoring suggestions: Trag can automatically handle large-scale code refactoring and improve development efficiency.<\/p>\n

    Application scenarios:<\/strong><\/p>\n

    1. Code review: Trag can help engineering teams conduct code reviews faster and improve code quality.<\/p>\n

    2. Code optimization: Trag can find problems and room for improvement in the code, helping engineers optimize the code.<\/p>\n

    3. Multi-warehouse management: Trag can connect multiple warehouses, making it easier for engineering teams to manage and review codes.<\/p>\n

    Official website address:https:\/\/usetrag.com\/<\/a><\/p>","protected":false},"excerpt":{"rendered":"

    Trag is an AI code review tool that helps teams of engineers perform code reviews faster, saving senior engineers' time.Trag makes the code review process more efficient by providing AI-reviewed code. Trag Features Find bugs in advance: Trag can find potential bugs before code review, helping engineers to solve problems before code review. Create Custom Rules: Users can create custom rules to meet different usage scenarios based on the needs of the team. Auto-fix: Trag can automatically fix issues in code, and users can monitor the progress of the fix and get the fixed code through PR. Connect to multiple repositories: Users can connect to multiple repositories for easy management and review of code. Analyzing Tools: Trag provides a generation of analyzing tools to help you analyze your code.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[138,139],"tags":[2199,2851,387,2849,2850],"collection":[],"class_list":{"0":"post-11676","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"hentry","6":"category-product","7":"category-daima","8":"tag-ai","11":"tag-trag","12":"tag-2850"},"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/11676","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=11676"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/11676\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=11676"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=11676"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=11676"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=11676"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}