Agents That Learn: A Self-Improving AI Hackathon

About this event

Please register for the Hack-a-thon on Luma here - https://luma.com/agentv-ssgr

Most AI agents are only as good as the day they shipped. This hackathon is about agents that get better on their own. Join Charlotte's builders for a one-day hackathon on self-improving AI agents: agents that learn from feedback, evaluate their own outputs, refine their prompts and tools, and remember what worked. Form a team, build against the clock, and demo your agent to a panel of judges for a chance to win prizes.

The challenge

Build an agent that measurably improves over time. Some directions to explore:

• Feedback loops that turn user corrections into better behavior

• Self-evaluation and reflection, so the agent critiques and retries its own work

• Automatic prompt and tool optimization driven by evals

• Long-term memory that helps the agent learn from past runs

• Observability and traces that prove the improvement

Rules

• Teams of 1–4. Solo builders are welcome, and we'll help you find teammates.

• All project code must be written during the event. Open-source libraries, frameworks and APIs are fine.

• Submit a repo link and a short description by 3:30 PM.

• Demos are 3 minutes per team.

• Judges' decisions are final.

Who should come

Developers, ML engineers, data scientists, students and curious builders at any level.

Bring A laptop and charger, and your API keys if you have them. We'll provide lunch, snacks, Wi-Fi, and prizes.

Schedule

• 10:00 AM: Check-in, coffee and team formation

• 10:30 AM: Kickoff, challenge brief and rules

• 10:45 AM: Hacking begins

• 12:30 PM: Lunch (working lunch, mentors on the floor)

• 2:00 PM: Mentor check-in round

• 3:30 PM: Code freeze and submissions

• 3:45 PM: Team demos

• 4:30 PM: Judges deliberate, networking

• 4:45 PM: Awards and group photo

• 5:00 PM: Event ends

Register here

From Charlotte Artificial Intelligence Meetup Group