AI
Every project I join has the same problem. Ten entities, ten controllers, ten services, ten data access classes and all doing the exact same thing. A ProductService that's a copy-paste of CustomerService, which is a copy-paste of OrderService. Nobody questions it. It just grows. I got fed up
AI
I want Gemini in my .NET API without a dependency on whichever SDK is flavour of the month. The official Google .NET SDK targets net8.0/netstandard2.0 and its multimodal API is still in flux. A typed HttpClient, System.Net.Http.Json, and 80 lines of C# gets you
AI
Copilot Without Context Is a Fast Way to Generate Tech Debt Out of the box, Copilot defaults to the patterns it was trained most heavily on: controllers, [ApiController], IActionResult, DbContext calls direct in endpoints. That is Microsoft tutorial code. It is not production architecture. The suggestions are fluent and fast.
AI
The third time Claude Code suggested I scaffold a controller, I stopped typing and started writing a CLAUDE.md file. That's the problem with AI coding assistants without context: they default to whatever Microsoft's documentation says. Ask Claude to add a new entity and it reaches
AI
Every time I paste a snippet into ChatGPT or Claude, I'm sending proprietary code to a third-party server. That's a non-starter for client work. Add the per-token costs once your usage scales, and the internet dependency when you're travelling — or just in a hotel
AI
77.2% on SWE-bench Verified. A 27B open-weight model. That number sat with me for a while when I first saw it, because Claude Opus 4.6 — the current best-in-class closed model for coding — scores 80.8%. We're talking about a 3.6-point gap between a model you
The last time I hand-wrote a GitHub Actions YAML file for a multi-service .NET deployment, I lost four hours to indentation errors and secret-binding typos. Four hours. Not shipping features. Not fixing bugs. Arguing with a text file about whitespace. That was eight months ago. I haven't touched