Tech Stack Recommender

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Provides a structured framework for selecting the ideal combination of programming languages, frameworks, databases, and infrastructure. It offers curated templates for common project types—such as SaaS MVPs, E-commerce platforms, and ML-powered products—while analyzing trade-offs between popular technologies like React, Node.js, Python, and PostgreSQL. Whether starting a new project, planning a migration, or assessing team readiness, this skill helps navigate architectural decisions with objective criteria and best practices to avoid common anti-patterns like hype-driven or resume-driven development.

Características Principales

• Database selection guide based on data consistency and scaling needs
• Comparative analysis of frontend and backend frameworks with performance metrics
• Curated stack templates for SaaS, E-commerce, ML, and real-time applications
• Technology trade-off matrices and architectural anti-pattern identification
• Multi-factor decision framework considering team skills and business goals
• 32 GitHub stars

Casos de Uso

• Evaluating technology migrations or upgrades for existing enterprise systems
• Assessing the feasibility of a specific technology based on current team expertise
• Architecting the initial infrastructure and software stack for a new startup MVP