Blog

Guides, insights and news from the fast-moving world of AI agents and tools.

Coding-Bibliotheken für KI-Agenten 2026: Der Praktiker-Kaufratgeber
Coding Library

Coding-Bibliotheken für KI-Agenten 2026: Der Praktiker-Kaufratgeber

Ein detaillierter Leitfaden für Entwickler und Teams, die KI-Agenten in Produktion bringen. Wir vergleichen Bibliotheken für Validierung, Orchestrierung und Benutzeroberflächen — mit konkreten Auswahlkriterien statt Marketing.

Daniel Nikulshyn

Daniel Nikulshyn

Aug 2026

1,028
Piattaforme di model serving nel 2026: la guida all'acquisto
AI Model Serving Platforms

Piattaforme di model serving nel 2026: la guida all'acquisto

Servire modelli in produzione è un problema diverso dall'addestrarli. Questa guida pratica analizza gateway, inference engine e piattaforme di serving per aiutare team e builder a scegliere l'architettura giusta nel 2026.

Daniel Nikulshyn

Daniel Nikulshyn

Aug 2026

1,414
AI Coding Assistant Practical Guide 2026: Selection Criteria in the Self‑Hosted Era
Coding assistant

AI Coding Assistant Practical Guide 2026: Selection Criteria in the Self‑Hosted Era

AI coding assistants in 2026 have evolved from simple completion engines to collaborative developers that understand the code base. This article delves into selection criteria from the perspectives of self‑hosting, code search, privacy, and ROI.

Daniel Nikulshyn

Daniel Nikulshyn

Jul 2026

370
Image Generation with AI in 2026: The Buying Guide for Teams and Creators
Image Generation

Image Generation with AI in 2026: The Buying Guide for Teams and Creators

A practical, no‑frills guide to AI image generation in 2026: model architectures, evaluation criteria, real costs, licenses, and production workflows for businesses and creatives.

Daniel Nikulshyn

Daniel Nikulshyn

Jul 2026

262
Choosing LLMs in 2026: The Complete Buying Guide for Teams and Builders
Large Language Models (LLMs)

Choosing LLMs in 2026: The Complete Buying Guide for Teams and Builders

A practical buying guide for Large Language Models in 2026: architecture, costs, context windows, security, and the role of LLMs as the motor behind AI agents. No marketing fluff.

Daniel Nikulshyn

Daniel Nikulshyn

Jul 2026

1,053