Welcome to the AWS x CS Careers Hackathon, hosted by CS Careers at Virginia Tech! Join us at Goodwin Hall on March 28th for a full-day, in-person hackathon where you'll have 10 hours (10am–8pm) to ideate, build, and showcase a project from scratch alongside fellow Hokies using the Kiro IDE. All projects will be judged on a 60-point rubric across six categories: Technical Execution, Innovation, Design & UX, Impact & Storytelling, AI Integration, and Social Good.

Leading up to the hackathon, we'll be hosting two workshops on March 27th at Data & Decision Sciences, including:

  • Agentic Development with Kiro
  • Using AI in Professionalism

During the hackathon, every competitor will receive Kiro Credits, and AWS representatives will be on-site for networking, brainstorming, and debugging throughout the day. Attendance is capped at 200 Virginia Tech students, so spots are limited. Build something that matters, we'll see you in Goodwin!

Hackathon Sponsors

Prizes

4 non-cash prizes
1st Overall
1 winner

$560 Kiro Credits Value + Northface apparel coupon priced at $150 value per person

2nd Overall
1 winner

$400 Kiro Credits Value

3rd Overall
1 winner

$320 Kiro Credit Value

Best Mentorhsip
1 winner

$240 Kiro Credit Value

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

TBD

TBD

Judging Criteria

  • Scoring
    Innovation (10pts), Social Good (12pts), Impact & Storytelling (10pts), AI Integration (12pts), Technical Execution (8pts), Design & UI/UX (8pts)
  • Innovation
    How creative and original is the idea, did the team find a unique niche or combine technologies in a surprising way?
  • Social Good
    Does the project target a specific, documented social issue for a community in need, with genuine consideration for accessibility, equity, and a realistic path to adoption?
  • Impact & Storytelling
    Does the project solve a real, clearly defined problem, and was there a compelling pitch that shows who benefits and how it could scale beyond the hackathon?
  • AI Integration
    Is AI the a vital component of the project? With thoughtful prompt design, model selection, custom pipelines, etc. Rather than a single API call as an afterthought?
  • Technical Execution
    Does the project actually work, and did the team go beyond a basic app implementation by integrating multiple systems, handling real data, or writing custom logic?
  • Design & UI/UX
    Can a stranger pick it up and use it without explanation, and does the interface feel polished and intentional?

Questions? Email the hackathon manager

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Hackathon sponsors

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