upsun · Internal Hackathon
AI-Powered Log Assistant
AI-Powered Log Assistant
AI-Powered Log Assistant
An award-winning hackathon concept exploring how AI could help developers understand errors and troubleshoot directly from their application logs.
An award-winning hackathon concept exploring how AI could help developers understand errors and troubleshoot directly from their application logs.
Product design · UX thinking · Rapid prototyping
Internal hackathon prototype
Product designer + engineers
Hackathon Winner
The problem
Errors explain what happened, but not always what to do next.
Errors explain what happened, but not always what to do next.
Application logs hold the context developers need when something goes wrong, but identifying the relevant error and translating it into a useful next step can take significant technical knowledge and time. We saw an opportunity to keep that help inside the existing logs workflow.
Application logs hold the context developers need when something goes wrong, but identifying the relevant error and translating it into a useful next step can take significant technical knowledge and time. We saw an opportunity to keep that help inside the existing logs workflow.
The central interaction
AI arrives at the moment help is needed.
AI arrives at the moment help is needed.
AI arrives at the moment help is needed.
Rather than introducing a separate chatbot, the concept adds a simple action to the existing logs experience. Developers select the relevant error, choose “Help me fix this,” and receive context-aware guidance without breaking their workflow.
Rather than introducing a separate chatbot, the concept adds a simple action to the existing logs experience. Developers select the relevant error, choose “Help me fix this,” and receive context-aware guidance without breaking their workflow.
My role
A simple interaction for a technically complex moment.
A simple interaction for a technically complex moment.
A simple interaction for a technically complex moment.
As product designer, I worked closely with two engineers and a product manager during the hackathon to shape the product concept, interaction design, and prototype. My focus was translating a technically complex idea into a clear, actionable experience and defining where AI should enter the workflow and how its guidance could feel useful without overreaching. The concept won the internal hackathon, validating the potential of placing AI directly in the debugging experience.
As product designer, I worked closely with two engineers and a product manager during the hackathon to shape the product concept, interaction design, and prototype. My focus was translating a technically complex idea into a clear, actionable experience and defining where AI should enter the workflow and how its guidance could feel useful without overreaching. The concept won the internal hackathon, validating the potential of placing AI directly in the debugging experience.