This practical guide outlines best practices for AI coding assistants in 2026, offering recommendations based on real-world use. It details crucial criteria for selecting effective tools to save time and reduce frustration.
This article compares AI coding assistants for 2026, evaluating them based on criteria such as reliability, ease of use, features, price, and support. It aims to help users choose the best tool for their daily workflow.
The author built a local, GPU-powered AI coding assistant using Ollama, as an alternative to cloud-based tools like Claude Code. This system aims to solve issues of cost, privacy, latency, and dependency, enabling complex agentic loops without fees or data leaving the machine.
The author developed Gortex, a code intelligence engine, to address frustrations with token-heavy AI coding assistants in complex, multi-repository projects. It solves constant context management issues by building a knowledge graph from code.
AI coding assistants can suggest non-existent software packages that attackers register with malware, creating a vulnerability known as "package hallucination." This attack vector allows malicious packages to be installed, compromising the security of development projects.