ALTEN was contacted by a leading supplier of technology in the aviation and travel industry to design and implement an AI-driven automatic code-fixing agent capable of detecting and resolving build errors in real time. They came up with a cloud-based solution, leveraging generative AI to enhance reliability and efficiency in CI/CD workflows for seamless integration and deployment.

CI/CD refers to continuous integration/continuous deployment, a set of practices that enables development teams to work together effectively, rapidly and reliably on software delivery. Ongoing integration of new code into the CI/CD pipeline requires constant review before the code can be deployed. When this is done manually, there can be frequent failures resulting from developer errors or server configuration issues. These failures disrupt the software deployment processes, delaying product delivery and increasing operational costs.

01 Challenge

Improve detection and resolution of errors in code building to enable faster, more effective software delivery

02 Solution

A first-of-its-kind, cutting-edge, code fixing agent that leverages generative AI models to identify and resolve errors automatically, ensuring smooth integration and deployment

03 Benefits

Improved software quality

Greater speed of delivery

Heightened communication among teams

Reduced downtime and bottlenecks

Increased reliability

Scalability

Knowledge where it counts

ALTEN’s teams set out to develop a code fixing agent to address these issues, drawing on their extensive expertise in AI technologies and models. They came up with a pioneering approach that represents a first in the industry, leveraging generative AI models capable of identifying and resolving errors automatically to ensure smooth integration and deployment. The automatic code fixing agent reduces the need for human intervention and the frequency of errors. Aside from saving time, it ensures that everyone is working on the same – and the latest – version of the project.

What it takes

As in any area, fixing software build failures involves first identifying the problem, then investigating its origin, making corrections, and testing to see that it is resolved. The faster the issue is detected and resolved, the less disruption it can cause. CI/CD automated code fixing minimizes build failures caused by human error or system misconfigurations. When failures do occur, it helps to catch them early, before they escalate, making it possible to deliver software faster and more reliably to users. In addition, it contributes to improved teamwork and communication among the various actors in the development process while reducing stress and downtime. Finally, it ensures reliable and consistent error resolution across pipelines. And because the architecture is cloud-based, it allows easy scaling to accommodate large and complex CI/CD environments.

The toolbox 

This solution comprises a blend of advanced AI models and an automatic code fixing approaches, tailored to address complex CI/CD processes. The team employed Agentic workflows, which turn large language models (LLMs) into proactive problem-solving agents, rather than just reactive content generators; generative AI fine-tuning (CodeLlama, Mistral, DeepSeek, Falcon) provided for the adaptation of pre-trained large language models to specific domains or tasks.

The automated code fixing agent enables ALTEN’s client to offer the advantages of expert CI/CD pipelines to its clients, enabling them to deploy a fully functional application programming interface (API) in a few easy steps.

If you"re interested in learning more about how AI technology can enhance your business support capabilities, feel free to contact marketing@altenchina.com