Articles about Software Development in Technology & AI
Ever felt overwhelmed by a massive single-cell dataset? Let's walk through building a complete analysis pipeline from scratch using Scanpy, turning raw data into beautiful, annotated cell clusters.
Tired of AI agents that fail in production? Let's walk through how to build a bulletproof agentic workflow using PydanticAI, strict schemas, and tool injection to create reliable, predictable, and model-agnostic AI systems.
Struggling with massive graphs that crash your system? Let's walk through a real-world pipeline using NetworKit to analyze, simplify, and understand huge networks without the headaches.
Ever wondered if AI can *actually* handle the messy reality of Android development? Google's new Android Bench is a tough, real-world test designed to find out, and the first results are in.
Struggling with massive datasets that crash your machine? Discover Vaex, a powerful Python library that lets you build a complete analytics and machine learning pipeline on millions of rows without running out of memory. Let's walk through it, step-by-step.
Go beyond simple text prompts. Learn how to build a complete AI image workflow for high-quality generation, fine-grained control with ControlNet, and precise editing with inpainting using the powerful Diffusers library.
Ever watched a tiny service hiccup spiral into a full-blown outage? It's often the "helpful" retries that are to blame. Let's break down why this happens and compare how RPC and event-driven architectures handle the pressure.
Tired of manually creating test data for your Python applications? Let's walk through how Polyfactory can automatically generate rich, realistic mock data from your dataclasses, Pydantic models, and more.
Tired of code that's impossible to read? Learn how to turn that gut feeling of "this is too complex" into a hard number you can actually measure, visualize, and fix.
Ever felt like quantum programming was stuck in low-level circuit building? Let's walk through how Qrisp changes the game, making it surprisingly easy to build advanced algorithms like Grover's Search, QPE, and QAOA.
A new AI model from Nous Research, NousCoder-14B, is showing impressive results on olympiad-level coding challenges. Let's break down how it uses reinforcement learning to think like a competitive programmer.
Everyone's talking about AI coding assistants as a miracle productivity booster. But after talking to dozens of developers, the reality is far more complicated—and it might be setting us up for future problems.