Secure Coding in the Age of AI: Try Our New Interactive AI Challenges
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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AI-assisted coding is changing development. Try our new Copilot-style AI Challenges to review, analyze, and fix code securely in realistic workflows.
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 is here for your organization to help you secure code across the entire software development lifecycle and create a culture in which cybersecurity is top of mind. Whether you’re an AppSec Manager, Developer, CISO, or anyone involved in security, we can help your organization reduce risks associated with insecure code.
Book a demo
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.
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.
Click on the link below and download the PDF of this resource.
Secure Code Warrior is here for your organization to help you secure code across the entire software development lifecycle and create a culture in which cybersecurity is top of mind. Whether you’re an AppSec Manager, Developer, CISO, or anyone involved in security, we can help your organization reduce risks associated with insecure code.
View reportBook a demo
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.
Table of contents
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 is here for your organization to help you secure code across the entire software development lifecycle and create a culture in which cybersecurity is top of mind. Whether you’re an AppSec Manager, Developer, CISO, or anyone involved in security, we can help your organization reduce risks associated with insecure code.
Book a demoDownloadResources to get you started
Vibe Coding: Practical Guide to Updating Your AppSec Strategy for AI
Watch on-demand to learn how to empower AppSec managers to become AI enablers, rather than blockers, through a practical, training-first approach. We'll show you how to leverage Secure Code Warrior (SCW) to strategically update your AppSec strategy for the age of AI coding assistants.
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AI Coding Assistants: A Guide to Security-Safe Navigation for the Next Generation of Developers
Large language models deliver irresistible advantages in speed and productivity, but they also introduce undeniable risks to the enterprise. Traditional security guardrails aren’t enough to control the deluge. Developers require precise, verified security skills to identify and prevent security flaws at the outset of the software development lifecycle.
Resources to get you started
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