Programming & Dev AI prompts
Code, debugging, architecture, DevOps and AI-powered development. Best for architecture thinking, debugging, and implementation planning, turning vague technical asks into concrete build steps, faster code review, documentation, and delivery workflows.
335
In this category
30
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305
Premium prompts
5
Subcategories
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Guide
Developer guide
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Role path
Developer path
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Generator
Generate prompt variants
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Course path
Course library
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Filtered prompts
2 prompts match the current filters
Microservices Architecture Blueprint for Growth-Stage Startups
Design a pragmatic microservices architecture for startups transitioning from a monolith, with justified technical decisions and incremental migration roadmap.
Best for
Define a microservices architecture appropriate to the startup's stage and size — neither prematurely complex nor limiting for growth — with clear technology choices, communication patterns, and migration strategy from the monolith.
Zero-downtime monolith to microservices migration strategy
Detailed incremental migration plan from a monolithic application to microservices using the Strangler Fig pattern and backward compatibility techniques.
Best for
Execute an incremental, safe migration from monolith to microservices without interrupting production service, keeping the team productive during the transition and reducing risk at each step.
Free browsing stays open. Premium prompts unlock the reusable workflow layer.
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Related categories
Explore adjacent prompt libraries that support programming & dev workflows.
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Personal Productivity
Organization, automation, focus, efficient meetings and decision-making
How to use Programming & Dev prompts well
Start with the prompt closest to your workflow, replace any placeholders with your own context, and tell the model what a good output looks like. The fastest improvement usually comes from clearer context, tighter constraints, and a more specific deliverable.
This category is especially useful for architecture thinking, debugging, and implementation planning. Treat the prompt as the execution layer, then refine it into a reusable workflow once you know it solves a real recurring problem.