03. Technical Feasibility & Architecture
Assessment of build viability, technology stack, and engineering roadmap.
⚙️ Technical Achievability Score
Justification: PromptVault is technically straightforward to build using modern web standards. It functions primarily as a specialized Content Management System (CMS) with a "Git-like" versioning layer and API proxy capabilities. The core technologies (PostgreSQL, Python, React) are mature, and the LLM integrations are well-documented via REST APIs.
Gap Analysis: The primary complexity lies not in "possibility" but in User Experience (UX) and Security. Building a diff-viewer for text prompts that feels as intuitive as GitHub, and securely managing user API keys (Vault management) are the main engineering hurdles.
- Adopt a "Bring Your Own Key" (BYOK) architecture initially to reduce liability and cost.
- Leverage an open-source library like Diff Match Patch for the version comparison UI.
Recommended Technology Stack
Selected for speed of development, type safety, and handling asynchronous AI tasks.
System Architecture
(Handles bulk testing & latencies)
- User Profiles / Teams
- Prompt Versions (JSONB)
- Test Results
- Encrypted API Keys
Feature Implementation Complexity
| Feature | Complexity | Est. Effort | Dependencies |
|---|---|---|---|
| Prompt Version Control | High | 5-7 days | Diff-match-patch library |
| Multi-Model Runner | Medium | 4-5 days | OpenRouter / LangChain |
| Variable Interpolation | Medium | 2-3 days | Custom Regex Logic |
| User Auth & Teams | Low | 1-2 days | Supabase Auth |
| Secure Key Storage | High | 3-4 days | AES-256 Encryption |
| VS Code Extension | Medium | 5-7 days | VS Code API |
Data Strategy
Core Schema: We will use a relational model to handle the strict hierarchy of Teams and Projects, but utilize JSONB for prompt content to allow flexibility as LLM APIs change parameters (e.g., new "top_k" or "frequency_penalty" settings).
- Table: Prompts (Metadata, Owner, Tags)
- Table: Versions (Prompt Content, Config JSON, Parent_ID)
- Table: Test_Runs (Inputs, Model Used, Latency, Cost)
Security & Privacy
API Key Handling: This is the most critical security risk.
- Keys encrypted at rest using AES-256.
- Decryption happens only in memory during request dispatch.
- Keys are never sent back to the client frontend.
- SOC2 Prep: Audit logs for every key access.
Critical Integrations
Auth, Database, and Realtime subscriptions.
Subscription billing and usage metering.
Unified interface for OpenAI, Anthropic, etc.
Product analytics and feature flagging.
Key Technical Risks
|
🔴 Security Breach (Key Leakage)
If we store user API keys and they leak, we are liable for their usage costs. |
Mitigation: Use envelope encryption. Store keys in a dedicated isolated service or Vault. Encourage users to rotate keys. Limit our storage to "Session Only" for sensitive enterprise clients. |
|
🟡 LLM API Instability
Providers frequently change models, deprecate endpoints, or have downtime. |
Mitigation: Build a robust adapter pattern. Use OpenRouter as a buffer. Implement aggressive retry logic and "Circuit Breakers" in the backend. |
Development Roadmap (12 Weeks)
Setup Next.js repo, Supabase Auth, and basic CRUD for Prompts. Implement the "Monaco Editor" integration.
Build the "Runner" service (FastAPI + Celery). Integrate OpenRouter. Build the "Diff View" for version comparison.
Implement Role-Based Access Control (RBAC). Build analytics dashboard for token usage/cost. Security audit.
Beta testing with 50 users. Bug fixes. Documentation. Stripe integration verification.
Required Team Configuration
- 1 Senior Full-Stack Engineer: Strong React/Next.js skills + Python backend experience.
- 1 Founder (Product/Design): Must be able to design UI in Figma and handle non-code ops.
YES. The stack is manageable for a single senior engineer. The main challenge is velocity—building the VS Code extension + Web App simultaneously is heavy for one person. Recommend outsourcing the VS Code extension.