My project for the Flip the Switch Hackathon 2026 | WeMakeDevs × DevTools Academy
Introduction
Software debugging is an essential part of development, but investigating bugs can often be time-consuming and repetitive. Developers need to understand the issue, identify its root cause, reproduce the behavior, and validate the solution.
For the Flip the Switch Hackathon 2026, I built BugStorm — an AI-Powered Bug Investigation Workflow to explore how AI agents can assist developers in investigating software bugs through a structured and collaborative workflow.
My goal was to build a practical developer-focused project that demonstrates how AI agents can be integrated into a shared communication environment.
What is BugStorm?
BugStorm is an AI-assisted bug investigation workflow designed to help developers systematically investigate and understand software issues.
The project focuses on a synthetic inclusive end-date bug scenario. It uses a local AI agent named bugstorm-investigator, connected through Switch Console in a shared #BugStorm channel.
The workflow allows an agent to assist in examining the issue, identifying potential causes, and presenting structured debugging insights.
Why I Built BugStorm
Debugging is more than fixing a line of code. It involves understanding the behavior of a system, analyzing the issue, and verifying whether the fix works correctly.
I wanted to explore how AI agents could support this process by:
Assisting with bug investigation
Providing structured debugging insights
Supporting a collaborative workflow
Helping developers understand potential causes
Making the investigation process more systematic
BugStorm is a small but practical step toward exploring AI-powered developer workflows.
How I Leveraged Switch
Switch Console played an important role in my project.
I connected the local bugstorm-investigator agent to a shared #BugStorm channel. This allowed me to demonstrate an AI agent working within a collaborative environment rather than operating only as an isolated tool.
The workflow demonstrates how an AI agent can participate in a bug investigation, provide insights, and support developers through a shared communication channel.
This integration helped me understand the potential of connecting AI agents with developer collaboration tools.
Project Workflow
The BugStorm workflow follows these steps:
A synthetic bug scenario is introduced.
The issue is investigated through the BugStorm workflow.
The AI agent assists in analyzing the issue and identifying potential causes.
Structured investigation insights are generated.
Automated tests are used to validate the behavior.
The project includes a reproducible bug scenario and an automated test suite with 11 passing tests.
Challenges I Faced
One of the main challenges was configuring the live external integration with Switch, particularly OAuth authentication.
Although the local agent workflow was demonstrated successfully, the live external OAuth integration was blocked during setup.
I documented this limitation in the project README rather than presenting the integration as fully operational.
This experience reinforced an important lesson: technical projects should clearly communicate what works, what is incomplete, and what could be improved.
What I Learned
Building BugStorm helped me explore:
AI-assisted software debugging
Agent-based developer workflows
Integrating AI agents into shared communication environments
Designing reproducible bug scenarios
Validating software behavior through automated tests
Documenting technical limitations transparently
It also helped me appreciate how AI agents can become useful collaborators in software development when they are integrated into practical workflows.
What's Next?
There is potential to extend BugStorm with:
More diverse bug investigation scenarios
Improved investigation reports
Deeper integration with developer communication platforms
Automated issue analysis and test result sharing
More advanced agent-assisted debugging capabilities
These improvements could make the workflow more useful for real-world development teams.
Conclusion
BugStorm was my opportunity to experiment with AI-powered developer workflows during the Flip the Switch Hackathon 2026, organized by WeMakeDevs × DevTools Academy.
The project helped me explore how AI agents can assist with software debugging and how shared communication environments can make agent workflows more collaborative.
This build was a valuable learning experience, and I look forward to improving the project further.
Thank you for reading! 🚀
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