# Corca

- **Event:** [Global Codex Hackathon: [Singapore]](https://cerebralvalley.ai/e/open-ai-hackathon-singapore-virtual)
- **When:** Tue, Apr 21 at 9:00 AM – 9:00 PM (GMT+8)
- **Where:** Online
- **Team:** [Jaeho CHUNG](https://cerebralvalley.ai/u/Jayho), [Jaeyoung KANG](https://cerebralvalley.ai/u/jaeyoung), [HyunMyeong Yoo](https://cerebralvalley.ai/u/Hyunu)
- **Demo video:** https://www.youtube.com/watch?v=nzcBt5gY-Lg
- **Gallery:** https://cerebralvalley.ai/e/open-ai-hackathon-singapore-virtual/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/open-ai-hackathon-singapore-virtual/hackathon/gallery/8

Agentic tools automate code generation, but the bottleneck has moved. It's no longer how to build. It's what to build, and whether it's right. Agents don't check if a request conflicts with business goals, existing specs, or product
policies. They build fast, correctly, and wrong.

Specdown addresses this with three principles. Traceability: business goals, product goals, features, acceptance criteria, tests, and code are bidirectionally linked. Change one layer, the system knows what else breaks. Consistency: if a new spec contradicts existing specs or policies, it's caught before any code is written. Executable specs: one file is the spec, the test, and the report. Run it and you get green or red. Spec and test are the same artifact, so they can never drift apart.

We built a Codex pipeline on top of this. User feedback comes in. Codex profiles who the user is, analyzes root cause against existing specs, generates a new spec verified for consistency against business goals and policies, builds code in parallel worktrees until specs pass, reviews the PR against the spec, and merges on approval. The spec is the interface between every Codex task. What gets planned becomes the build target, the review criterion, and the deploy condition.

---

Markdown version of https://cerebralvalley.ai/e/open-ai-hackathon-singapore-virtual/hackathon/gallery/8. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt