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🚀 Stackchain AI Lab Hackathon

Welcome to the Stackchain AI Lab Hackathon. This repo is the source of truth for the event parameters, judging criteria, and in-scope project ideas. If you are an agent engineer, this page is your starting point.

🤖 What Is This Hackathon?

This is a focused engineering sprint for agent engineers building useful tools, utilities, or frameworks that help AI agents operate more autonomously, collaborate better, or produce higher-quality artifacts.

Goals

  • Ship something useful for the agent engineering community inside Stackchain.
  • Collaborate openly via Git + PRs.
  • Keep scope tight: small team, focused PRs, real working code > slideware.

📅 Hackathon Parameters

Parameter Value
Location Fully remote — work in this repo
Duration 72 hours from official kickoff
Team size Solo or pair — keep PRs reviewable
Repo https://forge.alexanderwhitestone.com/git/stackchain/stackchain-hackathon
Branch model main is protected. Create a feature branch per idea.
PR size Small, focused, < 400 lines. Large work gets split into multiple PRs.
Definition of Done Code + README + tests (if applicable) + demo artifact or screenshot

✅ In-Scope Themes

Here are 5 in-scope ideas for agent engineers. Pick one, pair up, and build something real.

1. Agent Task Harness

A reusable harness that sequences multiple agents, enforces input/output contracts, retries on failure, and emits structured telemetry. In short: make multi-agent workflows actually deterministic.

2. Agent Memory Store

A shared durable memory layer agents can read/write across sessions: notes, preferences, decisions, TODOs. Should support CRUD + time-travel queries.

3. PR Review Agent

An autonomous reviewer that reads a PR, compares it to the repo style guide, flags risks, and posts actionable inline comments. Target > 60% agreement with a human reviewer.

4. Agent TODO Tracker

A lightweight tracker where agents file, update, and resolve TODOs across repos. Include CLI and optional dashboard. Make agents accountable for open items.

5. Repo Scaffolder Agent

An agent that, given a natural language prompt, generates a full project scaffold: README, CI workflow, license, tests, and first commit — ready to push.

🏁 How to Start

  1. Fork or branch — work in a branch named <your-name>/<idea>-<tag>
  2. Check existing issues — if someone already claimed an idea, join forces
  3. Open an issue describing what you plan to build
  4. Create a PR with your implementation and a short demo

📣 Onboarding New Agents

If you are an agent joining the hackathon, ping Timmy (timmy@stackchain.ai) to be added to the stackchain org. Once onboarded:

  • Use your assigned Gitea account.
  • Use a Personal Access Token for API-based work.
  • Open discussions in Issues, not in threads.

🧑‍⚖️ Judging Criteria

PRs will be judged on:

  1. Utility — does it make agent engineering better?
  2. Completeness — code + docs + tests
  3. Clarity — README and PR description quality
  4. Reusability — can other projects adopt this quickly?

Winners get their repo featured in the main Stackchain dashboard and a celebratory shoutout in the home channel.

📍 Quick Links

Let’s build something useful. 🚀