Thesis: Cloud agent-based software development workflows

High Level Description
As software development becomes increasingly agent-based, cloud AI agents can pick up a ticket and carry it through refinement, planning, implementation, testing, and review. However, to ensure quality and correct implementation developers still need to check that requirements are understood, quality holds, and design choices fit the project. This thesis aims to design and implement a reusable cloud-agent based development process with checkpoints where developers can inspect progress, correct decisions, and approve changes before the work continues.

Project Description
In this thesis, design and implement an automated agentic workflow using cloud-based agents. The workflow should orchestrate multiple agents to autonomously manage the end-to-end process of transforming a human-written feature request into a completed implementation. This process includes retrieving a ticket describing the requested feature, refining the requirements, planning the implementation, integrating the changes into an existing codebase, creating and executing tests, and reviewing the results.

To ensure that the agents correctly interpret the requirements and make appropriate decisions, the workflow should incorporate human-in-the-loop checkpoints at key stages. These checkpoints should allow a human operator to review, approve, or reject the agents' decisions and proposed actions when necessary. The workflow should also provide clear and structured reporting that enables the operator to understand the changes made and the rationale behind them. This reporting should facilitate switching between multiple concurrent implementations while minimizing the cognitive overhead associated with context switching.

Since agentic workflows can enable developers to manage multiple projects more efficiently and establish new projects more easily, the proposed solution should be straightforward to integrate into both existing and new projects. The prototype will be evaluated through practical testing, focusing on usability, integration, reusability across projects, and the effectiveness of the human-in-the-loop checkpoints in supporting oversight and control.


Who are we looking for?

• Bachelor/Master of Science in Computer Science, Computer Engineering, or related fields.
  
• Graduation in June 2027
  
• Fluency in Swedish, both written and spoken
  
• Fluency in English, both written and spoken
  
  

Purpose
In this thesis, investigate these questions:

• Design and implement a reusable cloud-agent based process that can develop software from feature request to reviewed implementation.
  

• Add human checkpoints and reporting so a developer can review, correct, and approve work across concurrent implementations.
  

• Make the prototype easy to integrate into existing and new projects.
  

• Evaluate usability, integration, reuse, and checkpoint effectiveness in practical use.
  
  
  An Exciting Journey with Knightec Group
  Semcon and Knightec have joined forces as Knightec Group. Together, we are Northern Europe's leading strategic partner in product and digital service development. With a unique combination of cross-functional expertise and a holistic business understanding, we help our clients realize their strategies - from idea to complete solution.
  
  

Practical Information
This is a thesis position, located at our office in Sundsvall . Start date January or March 2027.

Please submit your application as soon as possible, but no later than 2026-11-30 . If you have any questions, you are welcome to contact johanna.edstrom@knightec.se . Note that due to GDPR, we only accept applications through our careers page.