The exploit code was almost too neat. When Google’s Threat Intelligence Group flagged a previously unknown software ...

According to @DeepLearningAI, Anthropic launched Claude Sonnet 4.5 with a variable reasoning-token budget, expanded 200k–1M token context windows, improved coding and reasoning benchmark performance, ...

A test of leading AI agents found vastly different amounts of tokens consumed with no transparency and no guarantees of ...

The people who get the most out of AI aren’t the ones with the best prompt templates.

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

oLLM is a lightweight Python library built on top of Huggingface Transformers and PyTorch and runs large-context Transformers on NVIDIA GPUs by aggressively offloading weights and KV-cache to fast ...

As large language models (LLMs) become increasingly sophisticated, a new discipline is emerging that goes far beyond traditional prompt engineering: context engineering. This evolving practice ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

Hello! I'm a dreamer focusing on high-load distributed systems and low-level engineering. I mainly code in Rust and Python ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

What if the secret to unlocking the full potential of AI in coding isn’t about crafting the perfect prompt but about designing the perfect environment? Imagine an AI system that doesn’t just guess at ...