· Travis Rodgers · Programming
Git Fetch vs Git Pull: Key Differences Explained
Learn the key differences between git fetch and git pull, with clear explanations and examples to help you choose the right command for your workflow.
The Blog
· Travis Rodgers · Career6 Career Truths for Tech Workers in the AI Era
AI is reshaping tech careers. Here are six career truths every developer and tech worker should know to stay grounded and thrive in the AI era.
· Travis Rodgers · AIAI Model Parameters Explained: 2B vs 7B vs 40B and Beyond
What does it mean when an open source AI model has 2B, 7B, or 40B parameters? Learn how parameter count affects performance, hardware needs, and what developers and homelabbers should know before downloading and running these models.
· Travis Rodgers · AIWhat Is AI Model Quantization? Run Big Models on Small GPUs
Quantization makes it possible to run large AI models like 13B, 30B, and even 40B on consumer GPUs. Learn what quantization is, why it matters for homelabbers, and the benefits of using 4-bit or 8-bit models.
· Travis Rodgers · ProgrammingGit Merge vs Rebase: Differences, Examples, and Best Practices
Learn the key differences between git merge and git rebase with practical examples. Understand pros, cons, and best practices to decide which one to use.
· Travis Rodgers · AI8 Must-Read AI Books for Developers and Engineers in 2025
Discover the 8 best AI books for developers and software engineers in 2025 from machine learning foundations to LLM engineering and AI ethics.