Programming & Dev AI prompts

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Produce a diagnosis, scoped patch plan and verification checklist from the supplied inputs.

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Produce a migration review and deployment/runback checklist from the supplied inputs.

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Produce a scoped feature brief and acceptance-test matrix from the supplied inputs.

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Build a reusable, consistent component architecture that accelerates frontend development and ensures visual uniformity across the entire application.

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Identify performance bottlenecks and implement optimizations that improve Core Web Vitals to achieve green status on PageSpeed Insights.

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Ensure the application meets WCAG 2.1 AA accessibility requirements, complying with Brazil's Accessibility Law and expanding the audience reached.

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Define a clear state management strategy that eliminates unnecessary re-renders, simplifies code, and improves developer experience.

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Establish a component development and documentation environment with Storybook that serves as the single source of truth for the team's design system.

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Create a professional, well-documented REST API that follows industry best practices and facilitates integration by frontend teams and external partners.

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Identify and resolve PostgreSQL performance bottlenecks through query plan analysis, strategic index creation, and query refactoring.

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Build a robust authentication and authorization system that protects the API against common attacks and implements granular permission control.

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Plan and execute a gradual migration from monolith to microservices without service interruption, using asynchronous communication patterns with message queues.

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Design a caching strategy that reduces database load by 80%+ and improves API response time to under 50ms on the most accessed endpoints.

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Automate the entire software delivery lifecycle with GitHub Actions, from push to production deployment, including tests, code analysis, and preview environments.

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Create a containerized environment that ensures parity between development and production, with optimized builds, multi-stage builds, and security configurations.

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Implement full observability that detects issues before users notice them, with actionable dashboards and intelligent alerting.

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Automate provisioning of all infrastructure required for a production application, ensuring reproducibility, version control, and compliance.

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Establish a clear incident response process that minimizes detection and resolution time (MTTR), protects user experience, and generates learnings for the team.

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Define the base architecture for a React Native app that is scalable, testable, and supports parallel development by multiple developers.

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Create an app experience that works seamlessly offline, with conflict resolution and transparent synchronization for the user.

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Complete “Push Notification System with Segmentation and Analytics” with a workflow specification, exception-handling table and acceptance test scenarios that can be checked against the supplied evidence.

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Increase app visibility and conversion rate in Brazilian stores through metadata optimization, visual assets, and review strategy.

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Structure a Flutter project with clean architecture that facilitates testing, maintenance, and onboarding of new developers.

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Fine-tune a large language model for a specific domain, minimizing computational costs with PEFT (Parameter-Efficient Fine-Tuning) techniques.

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Complete “RAG Pipeline (Retrieval-Augmented Generation) with Embeddings and Vector Database” with a scoped implementation plan or code draft with file/function references, tests and verification instructions that can be checked against the supplied evidence.

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Complete “Advanced Prompt Engineering with Chain-of-Thought and Function Calling” with a scoped implementation plan or code draft with file/function references, tests and verification instructions that can be checked against the supplied evidence.

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Implement an MLOps pipeline that automates model training, evaluation, versioning, and deployment with continuous monitoring.

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Build a reproducible data pipeline that transforms raw data into high-quality datasets ready for Brazilian Portuguese NLP model training.

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Complete “Code Review Checklist for Pull Requests with Quality Standards” with a code/design plan with implementation notes, test cases and acceptance criteria that can be checked against the supplied evidence.

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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.