Tech Stack & Architecture
How should a startup structure a codebase to avoid a messy architecture later?
Answer:
Keep it boring and modular: organise folders by domain (billing, users, projects), use consistent naming, and maintain strict boundaries between UI, business logic, and data access. Add lightweight architecture rules and conduct early code reviews. A clean codebase is less about “patterns” and more about discipline and a shared standard.
Related Tech Stack & Architecture Questions And Answers
- What tech stack should I use for my first SaaS product as a non technical founder?
- Should my startup start with a monolith or with microservices architecture?
- Is it a good idea to build my MVP on low code or no code tools instead of custom development?
- When should a startup rewrite its prototype or MVP from scratch?
- Does the choice of backend language really matter for an early stage product?
- How should a startup choose a cloud provider like AWS, Azure, or Google Cloud?
- What database should I choose for an MVP SaaS product?
- Should a startup use serverless (AWS Lambda / Cloud Functions) for the first version?
- How do I choose a frontend framework for a new web app: React, Vue, or Angular?
- Should I build a REST API or GraphQL API for my startup?
- How do I design multi-tenant architecture for SaaS without overcomplicating it?
- What’s the best authentication setup for a SaaS MVP (OAuth, SSO, magic links)?
- What’s a practical CI/CD setup for early-stage startups?
- When should I introduce caching (Redis) in my architecture?
- Do I need message queues (RabbitMQ, SQS, Kafka) for an MVP?
- How do I choose between containers (Docker/Kubernetes) and a simple VPS/PaaS?
- What observability should I set up early (logs, monitoring, error tracking)?
- How can I keep cloud costs under control while the product is still early?
- How do I manage tech debt without slowing down product development?
- How can a startup safely manage third-party integrations (payments, email, analytics)?
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