Advanced Prompt Engineering Patterns: From Good to Expert
Master advanced prompting techniques - Chain of Thought, Tree of Thoughts, ReAct, and more. Improved output quality by 3x with these patterns
11 posts
Master advanced prompting techniques - Chain of Thought, Tree of Thoughts, ReAct, and more. Improved output quality by 3x with these patterns
Complete guide to prompt engineering - techniques, patterns, and real-world examples that improved AI output quality by 300%
Security considerations for AI applications, including prompt injection prevention, data privacy, and secure API usage.
Migrated to Python 3.8 - walrus operator, positional-only params, f-string debugging. Code cleaner, performance +15%
A comprehensive guide to async/await, Promise patterns, and handling concurrency in modern JavaScript applications
Upgrading to Python 3.8 and leveraging new features like the walrus operator, positional-only parameters, and performance improvements
Practical error handling patterns in Go, including wrapping, custom errors, and strategies for building robust microservices
Real-world patterns for using context.Context in Go microservices, including cancellation, timeouts, and request-scoped values
Hardening Docker images for production by using minimal base images, scanning for vulnerabilities, and following security best practices
Best practices for designing and using interfaces in Go - keep them small, focused, and composable.
My thoughts on Go's error handling approach after 6 months of writing production Go code.