Blog
Guides, insights and news from the fast-moving world of AI agents and tools.
Agent Observability Tools in 2026: The Practitioner's Buyer Guide
Agents fail differently than APIs. This deep-dive breaks down what agent observability actually means in 2026, the signals that matter, and how to choose tooling that catches silent failures, runaway costs, and unsafe actions.
Daniel Nikulshyn
Aug 2026
Analytique prédictive par agents IA en 2026 : le guide d'achat
Un guide pratique et sans langue de bois pour évaluer les plateformes d'analytique prédictive dopées aux agents IA : architecture, qualité des données, MLOps, coûts et gouvernance.
Daniel Nikulshyn
Aug 2026
AI Agents for Data Science 2026: The Practitioner's Buying Guide
An in-depth, hands‑on guide to selecting AI agents and tools for data science in 2026 – covering criteria, pitfalls, costs, and concrete product reviews.
Daniel Nikulshyn
Jul 2026
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
Jul 2026
How to Evaluate AI Coding Assistants
AI coding assistants are becoming standard tools in modern software teams, but choosing the right one requires more than running a few benchmarks. This guide explains how engineering leaders and developers can evaluate coding assistants based on real-world productivity, code quality, context awareness, security controls, and overall developer satisfaction.
Daniel Nikulshyn
Jun 2026