人工智能时代的安全编码：试试我们的全新交互式 AI 挑战
AI-assisted coding isn’t coming – it’s already here. Development teams everywhere are adopting tools like GitHub Copilot to accelerate delivery, and this shift is happening fast. Gartner predicts that by 2028, 90% of enterprise software engineers will regularly use AI coding assistants, up from just 14% in early 2024.
While AI tools make writing code faster, they also change the way developers work. As AI takes on more of the authoring, developers are spending more time reviewing, analyzing, and fixing code generated by machines. Yet many developers lack the specific security skills needed to perform these reviews effectively. This growing knowledge gap introduces new risks, and underscores the urgent need to build security proficiency as a core part of modern code review.
A Hands-On Way to Build Secure Review Skills
That’s why we’ve redesigned our AI Challenges with a brand-new Copilot-style experience: a hands-on way for developers to practice and strengthen those secure review skills in realistic workflows. These interactive challenges mirror the real-world workflows developers are already using in their IDEs with AI tooling, helping them practice secure review skills in context.
Instead of only reviewing pull requests, learners now interact with a simulated AI coding assistant named Obi that generates code for them to review, analyze, and fix – just like coding in the real world.
Here’s what makes the new AI Challenges different:
- A streamlined, intuitive UI – Obi, the simulated AI coding assistant, guides the experience, generating realistic code snippets that challenge developers to think critically about security.
- Structured, step-by-step learning – Move through Locate → Impact → Fix to build repeatable skills.
- Built-in learning feedback – No hidden answers. Learners always leave with the full context and clear takeaways.
- Focused challenges – Less noise, more learning. Only the code and information you need to solve each activity.
AI-assisted coding is transforming software development, and secure code review is quickly becoming one of the most critical skills for developers. The faster code is generated, the faster vulnerabilities can slip into production – unless teams are equipped to spot, understand, and fix security issues early.
Our Copilot-style AI Challenges, guided by Obi, are designed to make those skills second nature. It’s a modern, interactive, and effective way to prepare developers for the future of secure coding.
Try the new Copilot-Style AI Challenges today or Learn More here: How to play an AI Challenge.
Shannon Holt is a cybersecurity product marketer with a background in application security, cloud security services, and compliance standards like PCI-DSS and HITRUST.
Secure Code Warrior可以帮助您的组织在整个软件开发生命周期中保护代码，并营造一种将网络安全放在首位的文化。无论您是 AppSec 经理、开发人员、首席信息安全官还是任何与安全相关的人，我们都可以帮助您的组织降低与不安全代码相关的风险。
预订演示
Shannon Holt is a cybersecurity product marketer with a background in application security, cloud security services, and compliance standards like PCI-DSS and HITRUST.
Shannon Holt is a cybersecurity product marketer with a background in application security, cloud security services, and compliance standards like PCI-DSS and HITRUST. She’s passionate about making secure development and compliance more practical and approachable for technical teams, bridging the gap between security expectations and the realities of modern software development.
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AI-assisted coding isn’t coming – it’s already here. Development teams everywhere are adopting tools like GitHub Copilot to accelerate delivery, and this shift is happening fast. Gartner predicts that by 2028, 90% of enterprise software engineers will regularly use AI coding assistants, up from just 14% in early 2024.
While AI tools make writing code faster, they also change the way developers work. As AI takes on more of the authoring, developers are spending more time reviewing, analyzing, and fixing code generated by machines. Yet many developers lack the specific security skills needed to perform these reviews effectively. This growing knowledge gap introduces new risks, and underscores the urgent need to build security proficiency as a core part of modern code review.
A Hands-On Way to Build Secure Review Skills
That’s why we’ve redesigned our AI Challenges with a brand-new Copilot-style experience: a hands-on way for developers to practice and strengthen those secure review skills in realistic workflows. These interactive challenges mirror the real-world workflows developers are already using in their IDEs with AI tooling, helping them practice secure review skills in context.
Instead of only reviewing pull requests, learners now interact with a simulated AI coding assistant named Obi that generates code for them to review, analyze, and fix – just like coding in the real world.
Here’s what makes the new AI Challenges different:
- A streamlined, intuitive UI – Obi, the simulated AI coding assistant, guides the experience, generating realistic code snippets that challenge developers to think critically about security.
- Structured, step-by-step learning – Move through Locate → Impact → Fix to build repeatable skills.
- Built-in learning feedback – No hidden answers. Learners always leave with the full context and clear takeaways.
- Focused challenges – Less noise, more learning. Only the code and information you need to solve each activity.
AI-assisted coding is transforming software development, and secure code review is quickly becoming one of the most critical skills for developers. The faster code is generated, the faster vulnerabilities can slip into production – unless teams are equipped to spot, understand, and fix security issues early.
Our Copilot-style AI Challenges, guided by Obi, are designed to make those skills second nature. It’s a modern, interactive, and effective way to prepare developers for the future of secure coding.
Try the new Copilot-Style AI Challenges today or Learn More here: How to play an AI Challenge.
AI-assisted coding isn’t coming – it’s already here. Development teams everywhere are adopting tools like GitHub Copilot to accelerate delivery, and this shift is happening fast. Gartner predicts that by 2028, 90% of enterprise software engineers will regularly use AI coding assistants, up from just 14% in early 2024.
While AI tools make writing code faster, they also change the way developers work. As AI takes on more of the authoring, developers are spending more time reviewing, analyzing, and fixing code generated by machines. Yet many developers lack the specific security skills needed to perform these reviews effectively. This growing knowledge gap introduces new risks, and underscores the urgent need to build security proficiency as a core part of modern code review.
A Hands-On Way to Build Secure Review Skills
That’s why we’ve redesigned our AI Challenges with a brand-new Copilot-style experience: a hands-on way for developers to practice and strengthen those secure review skills in realistic workflows. These interactive challenges mirror the real-world workflows developers are already using in their IDEs with AI tooling, helping them practice secure review skills in context.
Instead of only reviewing pull requests, learners now interact with a simulated AI coding assistant named Obi that generates code for them to review, analyze, and fix – just like coding in the real world.
Here’s what makes the new AI Challenges different:
- A streamlined, intuitive UI – Obi, the simulated AI coding assistant, guides the experience, generating realistic code snippets that challenge developers to think critically about security.
- Structured, step-by-step learning – Move through Locate → Impact → Fix to build repeatable skills.
- Built-in learning feedback – No hidden answers. Learners always leave with the full context and clear takeaways.
- Focused challenges – Less noise, more learning. Only the code and information you need to solve each activity.
AI-assisted coding is transforming software development, and secure code review is quickly becoming one of the most critical skills for developers. The faster code is generated, the faster vulnerabilities can slip into production – unless teams are equipped to spot, understand, and fix security issues early.
Our Copilot-style AI Challenges, guided by Obi, are designed to make those skills second nature. It’s a modern, interactive, and effective way to prepare developers for the future of secure coding.
Try the new Copilot-Style AI Challenges today or Learn More here: How to play an AI Challenge.
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Secure Code Warrior可以帮助您的组织在整个软件开发生命周期中保护代码，并营造一种将网络安全放在首位的文化。无论您是 AppSec 经理、开发人员、首席信息安全官还是任何与安全相关的人，我们都可以帮助您的组织降低与不安全代码相关的风险。
查看报告预订演示
Shannon Holt is a cybersecurity product marketer with a background in application security, cloud security services, and compliance standards like PCI-DSS and HITRUST.
Shannon Holt is a cybersecurity product marketer with a background in application security, cloud security services, and compliance standards like PCI-DSS and HITRUST. She’s passionate about making secure development and compliance more practical and approachable for technical teams, bridging the gap between security expectations and the realities of modern software development.
AI-assisted coding isn’t coming – it’s already here. Development teams everywhere are adopting tools like GitHub Copilot to accelerate delivery, and this shift is happening fast. Gartner predicts that by 2028, 90% of enterprise software engineers will regularly use AI coding assistants, up from just 14% in early 2024.
While AI tools make writing code faster, they also change the way developers work. As AI takes on more of the authoring, developers are spending more time reviewing, analyzing, and fixing code generated by machines. Yet many developers lack the specific security skills needed to perform these reviews effectively. This growing knowledge gap introduces new risks, and underscores the urgent need to build security proficiency as a core part of modern code review.
A Hands-On Way to Build Secure Review Skills
That’s why we’ve redesigned our AI Challenges with a brand-new Copilot-style experience: a hands-on way for developers to practice and strengthen those secure review skills in realistic workflows. These interactive challenges mirror the real-world workflows developers are already using in their IDEs with AI tooling, helping them practice secure review skills in context.
Instead of only reviewing pull requests, learners now interact with a simulated AI coding assistant named Obi that generates code for them to review, analyze, and fix – just like coding in the real world.
Here’s what makes the new AI Challenges different:
- A streamlined, intuitive UI – Obi, the simulated AI coding assistant, guides the experience, generating realistic code snippets that challenge developers to think critically about security.
- Structured, step-by-step learning – Move through Locate → Impact → Fix to build repeatable skills.
- Built-in learning feedback – No hidden answers. Learners always leave with the full context and clear takeaways.
- Focused challenges – Less noise, more learning. Only the code and information you need to solve each activity.
AI-assisted coding is transforming software development, and secure code review is quickly becoming one of the most critical skills for developers. The faster code is generated, the faster vulnerabilities can slip into production – unless teams are equipped to spot, understand, and fix security issues early.
Our Copilot-style AI Challenges, guided by Obi, are designed to make those skills second nature. It’s a modern, interactive, and effective way to prepare developers for the future of secure coding.
Try the new Copilot-Style AI Challenges today or Learn More here: How to play an AI Challenge.
目录
Shannon Holt is a cybersecurity product marketer with a background in application security, cloud security services, and compliance standards like PCI-DSS and HITRUST.
Secure Code Warrior可以帮助您的组织在整个软件开发生命周期中保护代码，并营造一种将网络安全放在首位的文化。无论您是 AppSec 经理、开发人员、首席信息安全官还是任何与安全相关的人，我们都可以帮助您的组织降低与不安全代码相关的风险。
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