Computer Science, Software
1-2 Master students, or 2 Bachelor students
The software industry is increasingly adopting Rust for backend systems because it combines high performance with strong memory-safety guarantees. At the same time, AI agents are becoming more capable of assisting with complex software development tasks, including code migration.
This thesis will explore how AI can support the migration of legacy code to Rust. The work will focus on translating selected components written in C/C++ or the current SIP language, while preserving their existing functionality. It will also consider how to guide AI agents so that they use resources efficiently and produce reliable code.
The goal is to assess how effectively AI agents and large language models can assist with migrating legacy code to Rust while maintaining functional parity. The thesis will also develop and evaluate an approach for improving the migration workflow. This includes limiting token usage and reducing inaccurate or fabricated outputs (“hallucinations”) during code rewriting.
Who are you?
Master or Bachelor student in Computer Science, Software Engineering, or a related field.
OK, I am interested! What do I do now?
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Who to contact for any questions regarding the position!
Anders Olsson on +46-705-191441 or Anders.Olsson@axis.com
Thesis Worker (Fixed Term)
Certain roles at Axis require background checks, which means applicable verifications will be done in these recruitments. Notice will be provided before we take any action.
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