AI Code Traceability with SmartGit and Codebeamer Integration

Today, many organizations already integrate their Application Lifecycle Management (ALM) systems, like Codebeamer, with version control systems such as git. But the integration is mostly mechanical. A commit can be linked to a tracker item, but the system has no idea whether the code actually addresses the requirement.

Wouldn’t it be better if AI could help align and check content to provide meaningful traceability? The answer is yes. Raiqon provides this capability. Watch the video or read on for more details.

Development of cyber-physical products in regulated markets

In regulated markets, every product change must be traceable down to the code. This level of rigor is crucial for safety and compliance, but it is also tedious for engineers.

Typically, engineers link tracker items in Codebeamer with commits in git repositories. This provides the basic traceability regulators expect, but it relies heavily on human discipline and manual accuracy.

What can go wrong

There are many ways this process can fail:

• Accidental misalignment, such as referencing the wrong tracker ID in a commit
• Missing item IDs in commit messages, leaving code changes untraceable
• Discrepancies between the stated item and the actual code change
• Commits that pass build checks but do not fulfill the intended requirement
• Even small mistakes can surface during audits, leading to delays or liability issues

In practice, this creates stress for engineers and uncertainty for organizations.

Solution: Have AI supervise the commits

The most effective moment to check is at the time of commit. Traditional systems only verify technical criteria such as whether the code builds or unit tests pass.

Raiqon AI takes this further. In the SmartGit integration demo, the system:

• Automatically generates commit messages that reference the correct Codebeamer item ID
• Uses AI similarity checks to align code changes with requirements
• Flags when the code does not actually fulfill the intended requirement
• Provides a live link between git and Codebeamer for full traceability

This means AI is not just checking syntax or build success. It is supervising the semantic relationship between requirements and code.

Result: Better product development, happier engineers

The benefits are immediate:

• Regulatory compliance is enforced early, rather than retroactively
• Errors are caught at the cheapest possible stage, reducing costly late fixes
• Audits are easier, since every commit is traceable and verified
• Engineers spend less time on bureaucracy and more time on productive development
• Organizations reduce the risk of liability while accelerating delivery

Conclusion

By using an AI platform that integrates deeply into your system and embeds directly into tools like git and Codebeamer, Raiqon ensures that requirements are not only linked but actually fulfilled in code. This creates a smarter, safer, and faster path to compliance.

If you want to see how AI-powered commit supervision can improve your development process, request a demo today!