Technology
AI-Assisted Development: Atrophy of Core Skills
As AI tools accelerate software development processes, how developers' core skills might atrophy and what can be done about it…
#prompt-engineering
10 posts found.
Technology
The Evolution of Critical Thinking in AI-Assisted Development
As AI tools transform our development processes, we explore how our critical thinking skills are evolving and the challenges this new paradigm brings...
Tutorials
Better Results from AI: Fundamentals of Prompt Engineering
The key to getting more effective and consistent results from AI models. Learn the fundamental principles and advanced techniques of prompt engineering from my.
Tutorials
5 Practical Ways to Reduce AI API Spending by 30%
AI API costs can skyrocket unexpectedly. Based on my experience, I'll show you how to cut expenses with techniques like prompt optimization, choosing the right.
Tutorials
AI Agent Setup: Is the Promised Autonomy Real?
While the promise of autonomy from AI agents seems appealing, real-world setup and management processes are not as smooth as expected. Based on my experiences.
Tutorials
Free AI Coding: Running Agents Without a Subscription Using Cline
How I run coding agents with multiple AI models without paying subscription fees using Cline, and how I achieve this flexibility in my own infrastructure.
Technology
7 Ways to Reduce Your AI Bill: Smart Strategies
As AI model token costs rapidly increase, I explain how you can reduce your bill using practical methods I've experienced.
Technology
I Ran AI Agents Autonomously for 6 Months: An Honest Report
I ran my own AI agents autonomously for 6 months. In this process, I encountered successes, disappointments, technical details, and my cost analysis…
Technology
GitHub Copilot Now Charges Per Token: The Bill Shock
I examine the cost increases brought by GitHub Copilot's new token-based pricing model and the strategies I've developed to counter it.
Tutorials
AI Prompt Security: Is the Same Protection Necessary for Every
Should prompt security strategies always be the same in AI applications? I share my flexible approaches and lessons learned for different scenarios.