Professional Context
Computer programmers engage in writing clean and efficient code, troubleshooting, and collaborating with teams. Their day-to-day work involves tasks that require meticulous analysis, such as optimizing database query performance and designing real-time data processing pipelines. Code reviews and refactoring legacy codebases also demand significant writing and analytical efforts. These tasks impact key performance indicators like code quality and project delivery timelines.
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Don't waste your time using ChatGPT to write boilerplate code, instead, focus on using it to optimize your existing codebase and troubleshoot complex issues that would otherwise take hours to resolve manually.
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Advanced Prompt Library
4 Expert PromptsOptimizing Database Query Performance
Given a PostgreSQL database with 100 million records, a query that joins three tables and performs aggregation on the results, and an average query execution time of 10 seconds, suggest a step-by-step plan to optimize the query performance, including indexing strategies, query rewriting, and statistics analysis, and provide the expected performance gain after each optimization step, assuming the database server has 16 GB of RAM and 8 CPU cores.
Root Cause Analysis of a Microservices Architecture
Analyze a microservices-based e-commerce application with 10 services, each written in a different programming language, and identify the potential root causes of a recent outage that resulted in a 30% drop in sales, considering factors such as service dependencies, network latency, and resource utilization, and provide a prioritized list of recommendations to prevent similar outages in the future, along with a step-by-step plan to implement each recommendation, assuming the application is deployed on a Kubernetes cluster with 20 nodes.
Designing a Real-Time Data Processing Pipeline
Design a real-time data processing pipeline using Apache Kafka, Apache Storm, and Apache Cassandra to process 100,000 events per second from IoT devices, with a requirement to perform data aggregation, filtering, and alerts generation within a 1-second latency window, and provide a detailed architecture diagram, along with a step-by-step plan to implement and deploy the pipeline, assuming the pipeline will be deployed on a cloud-based infrastructure with 10 nodes.
Code Review and Refactoring of a Legacy Codebase
Perform a code review of a 10-year-old Java-based legacy codebase with 1 million lines of code, and identify areas of improvement, including performance bottlenecks, security vulnerabilities, and code smells, and provide a step-by-step plan to refactor the codebase, including suggestions for code reorganization, dependency injection, and testing strategies, and estimate the expected reduction in technical debt and improvement in code maintainability after refactoring, assuming the codebase has 1000 dependencies and 5000 unit tests.
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The 7-Part Prompt Formula — one-page cheat sheet
The structure behind every prompt on this page, plus a copy-paste template — so you can write your own for any task in your work.
Frequently Asked Questions
What are the best ChatGPT prompts for Computer Programmers?+
This page provides 4 expert, copy-paste ChatGPT prompts crafted specifically for Computer Programmers, each with a clear use case and customization notes you can adapt to your own situation.
What tasks do these ChatGPT prompts help Computer Programmers with?+
They cover tasks such as Optimizing Database Query Performance, Root Cause Analysis of a Microservices Architecture, Designing a Real-Time Data Processing Pipeline, Code Review and Refactoring of a Legacy Codebase.
How many ChatGPT prompts are included, and are they free?+
There are 4 ready-to-use ChatGPT prompts on this page. They are free to copy and use, and you can adapt each one to your specific situation.
Computer Programmers
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