Skip to content

TechStack Decorator

Recommends technology combinations based on requirements.

Category: Architecture And Design

Parameters

Parameter Type Description Default
for enum Target application type web
constraints enum Project limitations none
maturity enum Technology maturity preference modern-stable

For Options

  • web: Focus on web development technologies, frameworks, and hosting solutions.
  • mobile: Focus on mobile app development frameworks, languages, and deployment platforms.
  • desktop: Focus on desktop application frameworks, languages, and distribution methods.
  • iot: Focus on IoT device programming, connectivity solutions, and data processing.
  • data: Focus on data storage, processing, analysis, and visualization technologies.
  • ai: Focus on AI/ML frameworks, model deployment, and supporting infrastructure.
  • enterprise: Focus on enterprise-grade technologies with strong support and integration capabilities.

Constraints Options

  • budget: Prioritize cost-effective or open-source solutions that minimize licensing and operational costs.
  • scale: Prioritize technologies that can handle significant growth in users, data, or traffic.
  • team-size: Consider the learning curve and required expertise for the recommended technologies.
  • performance: Emphasize high-performance technologies and optimization strategies.
  • security: Prioritize technologies with strong security features and established security practices.
  • timeline: Recommend technologies that enable rapid development and deployment.

Maturity Options

  • bleeding-edge: Include cutting-edge technologies that may still be in beta or early adoption phases.
  • modern-stable: Recommend modern technologies that are stable and have good community support.
  • established: Focus on well-established technologies with proven track records.
  • enterprise-proven: Recommend only technologies with enterprise support, extensive documentation, and long-term stability guarantees.

Examples

Web application tech stack for a startup

+++TechStack(for=web, constraints=budget, maturity=modern-stable)
Recommend a technology stack for a B2B SaaS application with emphasis on rapid development and scalability.

A detailed recommendation of web technologies suitable for a B2B SaaS application, focusing on cost-effective solutions that are modern and stable, with explanations for why each component is appropriate.

Enterprise mobile application tech stack

+++TechStack(for=mobile, constraints=security, maturity=enterprise-proven)
What technologies should we use for a financial services mobile app that needs to comply with banking regulations?

A comprehensive recommendation of enterprise-proven mobile technologies with strong security features, suitable for financial services applications with regulatory requirements.

Model-Specific Implementations

gpt-4-turbo

Instruction: Recommend a technology stack for the following requirements. List specific technologies, frameworks, libraries, and tools that work well together. For each component, briefly explain why it's appropriate for the requirements.

Notes: More explicit instruction for models with less context understanding.

Implementation Guidance

Web application recommendation

Original Prompt: 

Recommend a technology stack for a B2B SaaS application with emphasis on rapid development and scalability.

Transformed Prompt: 

Recommend a technology stack that is appropriate for the specified requirements. Include specific technologies, frameworks, and tools that work well together. Explain why each component is suitable for the requirements. Focus on web development technologies, frameworks, and hosting solutions. Prioritize technologies that can handle significant growth in users, data, or traffic. Recommend modern technologies that are stable and have good community support.

Recommend a technology stack for a B2B SaaS application with emphasis on rapid development and scalability.

Notes: The decorator adds specific guidance about the type of application, constraints, and technology maturity preferences.

Transformation Details

Base Instruction: Recommend a technology stack that is appropriate for the specified requirements. Include specific technologies, frameworks, and tools that work well together. Explain why each component is suitable for the requirements.

Placement: prepend

Composition Behavior: accumulate

Parameter Effects:

  • for:
  • When set to web: Focus on web development technologies, frameworks, and hosting solutions.
  • When set to mobile: Focus on mobile app development frameworks, languages, and deployment platforms.
  • When set to desktop: Focus on desktop application frameworks, languages, and distribution methods.
  • When set to iot: Focus on IoT device programming, connectivity solutions, and data processing.
  • When set to data: Focus on data storage, processing, analysis, and visualization technologies.
  • When set to ai: Focus on AI/ML frameworks, model deployment, and supporting infrastructure.

  • When set to enterprise: Focus on enterprise-grade technologies with strong support and integration capabilities.

  • constraints:

  • When set to budget: Prioritize cost-effective or open-source solutions that minimize licensing and operational costs.
  • When set to scale: Prioritize technologies that can handle significant growth in users, data, or traffic.
  • When set to team-size: Consider the learning curve and required expertise for the recommended technologies.
  • When set to performance: Emphasize high-performance technologies and optimization strategies.
  • When set to security: Prioritize technologies with strong security features and established security practices.

  • When set to timeline: Recommend technologies that enable rapid development and deployment.

  • maturity:

  • When set to bleeding-edge: Include cutting-edge technologies that may still be in beta or early adoption phases.
  • When set to modern-stable: Recommend modern technologies that are stable and have good community support.
  • When set to established: Focus on well-established technologies with proven track records.
  • When set to enterprise-proven: Recommend only technologies with enterprise support, extensive documentation, and long-term stability guarantees.

Compatibility

  • Requires: None
  • Conflicts: None
  • Compatible Models: gpt-4-turbo, gpt-4o, claude-3-7-sonnet-latest, llama-3.2
  • Standard Version: 1.0.0 - 2.0.0
  • ArchitecturalPattern: Enhances TechStack TechStack works well with ArchitecturalPattern to provide both high-level architecture and specific technology recommendations.
  • CodeGeneration: Enhances TechStack TechStack can provide context for CodeGeneration to generate code in the appropriate languages and frameworks.