Data-driven trade-offs, engineering impacts, risks, and recommendations for critical product and architectural choices curated by Rohit Sharma.
Early-stage startups face massive architectural trade-offs: fast feature iteration vs microservice scalability.
Build a Modular Monolith first. Extract microservices only when specific services require independent scaling.
Selecting the optimal mobile framework for dual iOS & Android deployment with native hardware access.
Use React Native with Expo for maximum team velocity and shared web logic.
Deciding between NoSQL document flexibility and Relational ACID compliance for transactional data.
Use PostgreSQL for relational financial/user data; use Redis for high-frequency caching.
Integrating generative AI capabilities: fine-tuning open-source LLMs vs leveraging commercial APIs.
Start with commercial APIs for MVP validation. Implement RAG with Vector DBs for private enterprise data.
Building custom enterprise resource planning (ERP) modules vs customizing open-source Python/Frappe frameworks.
Adopt Frappe/ERPNext for core back-office accounting & inventory; build custom Next.js frontends for consumer portals.
Selecting the optimal API transport layer for type safety, over-fetching prevention, and developer velocity.
Use tRPC for full-stack Next.js applications; use REST OpenAPI for public third-party integrations.