所有类别AI代码助手和副驾驶 漏洞赏金计划

3 个 AI代码助手和副驾驶 SaaS 拥有漏洞赏金计划的列表

在 AI代码助手和副驾驶 中,有 3 个 SaaS 或软件产品拥有付费漏洞赏金计划。 平均支付范围为 $82,750 - $138,500。 SaaS Browser 扫描互联网以发现所有 SaaS,并发现哪些拥有漏洞赏金计划,定期更新以确保数据新鲜度。 查看所有 1,442 个 SaaS 漏洞赏金计划

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类别: AI代码助手和副驾驶
漏洞赏金计划: 是的
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Cursor

这款 SaaS 很火爆!我们检测到月流量在增长。
An AI-powered coding assistant that combines an integrated development environment and a command-line interface with intelligent code completion, automatic code generation, real-time error detection, refactoring suggestions, context-aware guidance, and codebase indexing to accelerate coding, debugging, testing, and learning across projects. It solves problems like slow manual coding, repetitive edits, context switching, and fragmented collaboration by offering a unified, model-agnostic platform with agent-driven automation, team-wide collaboration tools, and cross-tool integrations designed for developers, data scientists, researchers, educators, and students who want faster delivery, higher quality software, and smoother knowledge transfer.
定价: $0-$200/mo
此SaaS产品的月度定价范围。价格尽可能以月度金额为准。
AI Code Assistants & Copilots
此列表的类别。
漏洞赏金计划 · 3mo ago · $500–$500 USD  平台:self_hosted
奖励:$500-$500
范围:Web, Mobile, Api, Desktop
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GitHub

这款 SaaS 很火爆!我们检测到月流量在增长。
An advanced AI-powered coding assistant designed to enhance the software development process by providing intelligent code suggestions, automating repetitive tasks, and supporting various programming languages and frameworks, thereby improving productivity and code quality. Its main features include natural language understanding, context-aware code generation, retrieval-augmented generation for better insights, cross-agent learning systems, and collaboration tools, all aimed at solving problems such as coding inefficiencies, errors, and knowledge gaps for developers, software engineers, and technical teams across industries.
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GitHub Copilot offers a free AI tool that helps users write better code by suggesting improvements and fixing errors. The platform also provides features for automating workflows, managing code changes, and collaborating with teams, making software development easier and more efficient.
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