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Exclusive invite to our AI course

AI in Software Development: Navigating Opportunities, Risks, and Guardrails

This course is designed for companies using AI in development or preparing to adopt it. Can you do it safely without sacrificing code quality? Discover how to strike the right balance.

Featured course

How do we scale AI safely without sacrificing quality?

By the end of this course, you'll:

  • Understand how AI is reshaping software development
  • Learn how AI increases productivity and reduces manual workload
  • Understand how AI can unintentionally introduce technical debt and code rot
  • See how real-time CodeHealth™ insights guide AI tools to produce higher-quality code
  • Receive 4 practical steps to safeguard AI-generated code and prepare non–AI-ready code for safe adoption.

Share your technical debt expertise

Earn a certificate upon completion, showcasing your technical debt expertise. Share it on LinkedIn to boost your professional profile and attract new opportunities.

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Course Curriculums

Here’s what you’ll learn in this course.

Number one teal
The Current State of AI in Software Development 
  • The AI Transformation
  • Can AI make us ship features faster?
  • Code Quality in the AI Age
  • The Inner Developer Loop
  • Module Wrap-Up
Number two teal
The Risks and AI Pitfalls
  • Risks and Challenges: The Double-Edged Sword of AI
  • Knowing the AI Pitfalls
  • Avoiding the pitfalls
  • AI-acceleration without the risks
  • Plugging intelligence into AI


Number three teal
The Solution: Safeguard AI with Guardrails
  • AI Is Now a Software Maintenance Actor
  • Strengthening the Inner Developer Loop
  • CodeScene's CodeHealth ™ MCP Server: Core Use Cases
Number four teal
How Code Health Determines AI Performance 
  • Strategic Recommendations for AI-Ready Engineering
  • Use Case: Which code is AI ready?
  • Use Case: Uplifting code that isn't AI ready
  • The future of AI-assisted development
  • Course Wrap-Up

Explore More Insights

Dive deeper into practical guides, step-by-step tutorials, and expert resources to enhance your learning and maximize the impact of your new skills.

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Tutorials

See tutorials and talks on refactoring, technical debt, AI, and code quality, plus insights on how to build healthier, more efficient codebases

View tutorials
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Research & whitepapers

Learn how CodeScene contributes to the academic and industrial software community through cutting-edge research, collaborations, and publications.

Explore our research
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Blog

From managing technical debt and improving code quality to enabling safe, scalable AI adoption and measuring coverage where it matters, explore insights on the CodeScene blog.

Read more

Thinking of scaling AI?

Our research shows that AI working on unhealthy code increases defect risk by at least 30%. Learn how to identify your AI-ready areas — and much more — in this course.