Thesis: AI-Assisted CI/CD Lifecycle: Development, Migration, and Maintenance Across Platforms

CI/CD platforms automate software builds, tests and delivery, but differ in their flexibility, usability and operational demands. This thesis explores how AI can support the full pipeline lifecycle, from implementation and migration to monitoring and maintenance. It will compare platforms using experimental proof-of-concept implementations rather than production-ready systems.

The assignment

• Implement an end-to-end CI/CD pipeline and migrate an equivalent setup to one or more other platforms, evaluating the effort and challenges involved.
• Explore AI support for interpreting platform-specific configurations and translating pipelines between technologies.
• Investigate how AI can analyse pipeline runs, logs and configurations to identify issues, security concerns and likely failure causes, and recommend actions.
• Compare platforms' integration with AI tools, including ready-made capabilities and the need for custom interfaces.
• Evaluate AI as an advisory tool rather than an autonomous pipeline manager; batch analysis and analysis triggered by failures are within scope.
• Keep the application used to exercise the pipelines outside the main evaluation. Potential technologies include Jenkins, GitHub Actions, GitLab CI, Docker/Podman, Kubernetes, AWS, Azure and AI/LLM APIs.

Who we are looking for

• Studying towards a bachelor's or master's degree in Computer Science, Computer Engineering or a related discipline.
• Expecting to graduate in June 2027.
• Fluent in both written and spoken Swedish and English.

What we offer

• An opportunity to carry out the thesis at Knightec Group, which combines cross-functional expertise in product and digital service development.

Practical details

Location: Knightec Group's Sundsvall office. Start: January or March 2027. Apply through the company's careers page as soon as possible, no later than 30 November 2026. Questions: johanna.edstrom@knightec.se.