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.exploreSWE

devpostHosted on Devpost

Fetched about 2 hours ago

Saturday, August 8, 2026

to Saturday, August 8, 2026

Beginner FriendlyWeb Development
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

in person

2

Participants

0

Est. Projects

About the challenge

.exploreSWE is a one-afternoon vibe coding hackathon at SMU's School of Computing and Information Systems, run by .hack for pre-university students from Junior Colleges and Polytechnics.

You'll spend the afternoon building a working app — not by writing code line by line, but by describing what you want to an AI coding tool and shaping it from there. No programming experience is required. If you've never opened a code editor in your life, you're exactly who this event is for.

Get started

  1. Get Kiro running. We'll walk through installation and sign-in together at 1:40 PM. Your OGLs have the account credentials and campus WiFi login.
  2. Pick a theme from the three revealed at the start, and keep your idea small enough to build in 80 minutes.
  3. Build from 2:10 PM. Describe what you want, run it, tell Kiro what's wrong, repeat.
  4. Submit here by 3:30 PM. Tools down is a hard stop.
  5. Pitch. Three minutes per group, starting at 3:50 PM.

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct