AI writes code fast — that's not in question. The question is whether that code survives contact with production. This guide details how to build a better ai code review checklist to stop shipping garbage before your users find it. Skip the blind optimism. Treat e...
Web Tasarımında Iconography: Özel SVG Seti Oluşturma konusunu ele alıyoruz. Bu makalede, etkili ikonografi kullanarak web tasarımınızı nasıl geliştirebileceğinizi öğreneceksiniz. Özel SVG setleri oluşturmanın adımları ve bu süreçte dikkat edilmesi gereken temel ilkeler hakkında bilgi sahibi olacaksınız.
Makale, ikonografinin tanımından başlayarak, SVG'nin web tasarımındaki rolüne, özel ...
Large Language Models (LLMs) are revolutionizing software development, but their inherent unpredictability introduces new challenges. Traditional unit testing methods, built on deterministic logic, fall short when dealing with the probabilistic nature of LLMs. This post dives into Unit Testing Prompts, a discipline for ensuring quality and consistency in AI-powered applications...
F_total is your model's prediction error energy — cross-entropy loss
for LLMs, TD error for RL agents.
F_survival is the minimum energy
required to maintain operational integrity.
k(s) is a sensitivity
constant that grows with runtime.
If you want structured product, seller, and review data from Turkish marketplaces, you usually end up stitching together brittle scrapers, inconsistent schemas, and platform-specific quirks.
We decided to package that work into three production-ready Apify Actors that behave like APIs:
Every conversation with your AI starts the same way. "I'm building a Rails app, deployed on Hetzner, using SQLite..." You've typed this a hundred times.
Your AI is smart. But it has no memory. Every chat starts from zero. Your project context, your conventions, your past decisions — gone.
What if your AI already knew all of that?
Here are five notes that...