Feed
This is a feed of links I've run across and found interesting or noteworthy. The images, content and opinions in them are owned by their respective authors.
C# Is Cool Again. You Can’t Avoid It Anymore.
Piyush Doorwar - medium.com
C# and .NET are experiencing a remarkable revival, transitioning from outdated tools to modern essentials for software engineers.
C#, .NET, software engineering, programming, technology
What is a Reverse Proxy? YARP Explained
Milan Jovanović - youtube.com
Learn the role of reverse proxies in modern .NET apps, covering security, load balancing, and setup using YARP.
Reverse Proxy, YARP, .NET, Load Balancing, Security
The Secret Weapon in .NET 9 for Building AI-Powered C# Apps That Actually Scale
Sukhpinder Singh - medium.com
Discover how .NET 9 and Microsoft.Extensions.AI enable scalable C# apps and a GPT-5 pipeline using embeddings and vectors.
C#, .NET 9, Microsoft.Extensions.AI, AI, GPT-5, embeddings, vector
Ollama vs LM Studio: Which Local AI Tool Wins in 2025?
Savage Reviews - youtube.com
Compare Ollama's CLI flexibility and speed with LM Studio's GUI ease for local AI running. Choose based on your needs: automation or content creation.
Ollama, LM Studio, AI tools, CLI, GUI, local AI
The Easiest Ways to Run LLMs Locally - Docker Model Runner Tutorial
Tech With Tim - youtube.com
Docker's new model runner simplifies local AI model management, similar to Ollama, integrating seamlessly with Docker Desktop for easier deployment.
Docker, AI, LLMs, model runner
EASIEST Way to Fine-Tune a LLM and Use It With Ollama
Tech With Tim - youtube.com
Learn to fine-tune LLMs in Python for Ollama with step-by-step guidance, code examples, and setup instructions.
Python, Ollama, LLM
Optimize Your AI - Quantization Explained
Matt Williams - youtube.com
Learn AI model optimization via quantization techniques (q2, q4, q8) to enhance performance on basic hardware while saving costs.
AI Optimization, Quantization, Ollama, Machine Learning
Can We Fix Software Engineering Estimation?
Kent Beck & Kevlin Henney - youtube.com
Exploring the feasibility of software estimation and techniques in modern engineering practices.
software estimation, no estimates, techniques, software engineering
Google's New LLM Runs on Just 0.5 GB RAM — Here’s How to Fine-Tune It Locally
Civil Learning - medium.com
Google's new AI model, Gemma 3 270M, requires only 0.5 GB RAM for local fine-tuning, enabling efficient use for software engineers.
Google, LLM, AI, Gemma 3, Fine-Tuning
Why software developers burn out, and how to fix it
Unknown - infoworld.com
Developer burnout is a significant issue exacerbated by AI. Learn about its causes and solutions.
developer burnout, AI, solutions