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increases developer trust in AI coding tools like Cursor and GitHub Copilot by verifying AI-generated code changes. We use third-party software that applies zero-knowledge proofs to confirm that modifications preserve intended behavior and do not introduce unintended errors. This reduces the need for manual code review and allows teams to confidently use AI-assisted development while lowering the risk of bugs and regressions.
Key ideas:
- Organize content into meaningful clusters
- Enable easy exploration of related topics
- Improve user experience through visualization
See our product requirement document here.
See our customer discovery summary document here
See our user testing plan here
User testing & Demo Day 2 — Wiki hub: User testing hub (assignment test plan + Demo Day 2 feedback) · legacy Google Doc here
| Photo | Member | Skills | Personal Traits | Desired Growth | Weaknesses |
|---|---|---|---|---|---|
 |
Kwame | Backend Dev, Prompt Engineering, UI/UX | Spontaneous, Detail-Oriented | Security, Coding Hours | Communicating ideas |
 |
Victor | Frontend, Backend, UI, AI, and User Testing | Hardworking | PL?? | Overly Perfectionist |
 |
Umut | CV/ML, Engineering, Backend | Spontaneous, Hardworking, Curious | PL | Time management |
 |
Akira | Communication, Security, Networking, Compilers, Parallel computing | Decisive, Facilitative, Creative | Product design and prototyping | Organization, Programming, Sensitive to lack of communication |
 |
Ein | Full-stack, AI Applications, Web3 | Creative, Analytical | Systems | Communication |
- Onboarding
- Development
- Design & Strategy
git clone https://github.com/<your-org>/<your-repo>.wiki.git