Building Vaulternal: AI-Assisted Development at Scale
A Different Kind of Build
When we started development in Q3 2025, we made a deliberate choice: build with AI as a core part of the engineering workflow, not as an afterthought. The result was a production-grade encrypted storage platform built in under six months — from first commit to MVP launch.
What AI-Assisted Development Looks Like
This isn't about asking a chatbot to write a function. AI-assisted development at Vaulternal means:
- Architecture design — Evaluating encryption schemes, storage trade-offs, and protocol choices with AI as a sounding board
- Implementation velocity — Generating boilerplate, test scaffolding, and component structures while the team focuses on cryptographic correctness
- Code review — Using AI to catch edge cases, security issues, and performance problems before they ship
- Documentation — Keeping technical docs, API specs, and architecture diagrams in sync with the actual codebase
The Numbers
Our current codebase includes:
- 171 React components across landing, dashboard, and claim portal
- 16 cryptographic modules handling AES-256-GCM, secp256k1-ECIES, Shamir Secret Sharing, and more
- 8 languages supported with full i18n coverage
- 10 trigger categories designed (5 implemented for MVP)
A traditional team would need significantly more time and headcount to reach this scope. AI didn't replace engineering judgment — it amplified it.
Where Humans Still Matter
AI accelerates the 80% of development that's well-understood patterns. The remaining 20% — cryptographic protocol design, security architecture, user experience decisions — still requires human expertise and careful thought.
Every encryption implementation was manually verified against standards. Every key management decision was reviewed for security implications. AI wrote the first draft; humans ensured correctness.
What's Next
We're committed to open-sourcing our client-side encryption libraries. We believe the best way to build trust in a security product is to let anyone inspect the code. AI helped us build fast — transparency is how we build trust.