Practical guides, templates, and tips for Claude, ChatGPT, Gemini, and beyond.
A developer spent a week implementing general performance optimizations and the dashboard still felt slow. The fix was 20 minutes once he found the actual bottleneck. This case study shows AI prompts for performance optimization that start with diagnosis, not solutions.
Most microservices guides skip the most important first question: should you use microservices at all? This guide shows AI prompts for microservices design that honestly evaluate the trade-offs — and get service boundaries right when you do proceed.
Facing the blank whiteboard problem in system design? AI can't make architecture decisions for you — but it can force you to articulate the constraints that make the right decision obvious. This interactive guide shows the exact prompts that do that.
A commit history of 'fix stuff,' 'update,' and 'final2' is readable today and worthless during a 3am incident six months from now. This teardown shows AI prompts for Git commit messages that capture the why — the information that actually matters later.
Repositories with good READMEs receive 70% more contributions. This case study shows how the right AI prompts for README writing shift from author-perspective to reader-perspective — and the specific changes that drove a 4× increase in contributors.
A senior engineer refactored a payment module with AI help for two days — and broke two edge cases that appeared in production a week later. This guide shows the AI prompts for code refactoring that specify objectives, constraints, and verification to make refactoring safe.
Have you deployed an AWS resource with AI help, only to get an unexpected bill? AI-generated AWS configs optimize for 'it works' — not for cost or security. This teardown shows the prompts that produce production-appropriate AWS infrastructure.
A Node.js app containerized with AI assistance produced a 2.1 GB image that took 4 minutes to deploy. This case study shows the exact AI prompts for Docker that produce optimized multi-stage containers — and cut that to 187 MB and 45 seconds.
Teams with automated pipelines ship 208× more frequently than those without. This guide shows the exact AI prompts for DevOps CI/CD that produce pipelines covering caching, rollback, security scanning, and approval gates — not just basic automation.
