FROM THE TRENCHES Issue №288

Practical decisions for AI and software

Technical guides to choose models, verify software and plan delivery.

Latest articles

New comparisons, practical guides and engineering lessons.

AI-generated 3D game asset moving through a production pipeline Delivery & QA

AI 3D Model Generators for Game Development: 2026 Guide

Which AI 3D tools can help a game team, and which outputs still need an artist? Compare hosted and self-hosted options, quality gates, licensing and engine handoff.

Kevin Riedl
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A governed company wiki serves verified knowledge to employees and AI agents AI & Agents

AI-Ready Company Wiki: Architecture and Build Guide

A buyer-focused blueprint for company knowledge that humans can edit and AI agents can retrieve with the same permissions, sources and review loop.

Kevin Riedl
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AI agent signing workflow with policy gate, human QES approval, trust provider and verification archive Business & Regulation

AI Agent Contract Signing: eIDAS QES Integration Guide

A developer and buyer guide to binding AI-generated contracts to human approval, remote QES, ID Austria or EUDI Wallet flows, validation and audit evidence.

Kevin Riedl
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A layered fintech backend moving through typed foundations, authorization, payment integrity and release gates Delivery & QA

Fintech Architecture Remediation Without a Rewrite

An anonymized field case on stabilizing a money-moving Node.js product in the right order, with traceable findings, small pull requests and evidence-based release gates.

Christof Jori
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Linux terminal beneath isolated AI agent workloads AI & Agents

Is Linux the Best OS for AI Agents? A 2026 Infrastructure Guide

Linux gives AI agents a mature shell, open interfaces and several isolation layers. This guide shows where it wins, where it does not, and how to deploy agents without handing them the host.

Kevin Riedl
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Agentic testing pilot loop with plan, execute, verify and review stages Delivery & QA

Agentic Testing vs Test Automation: 2026 Pilot Guide

A vendor-neutral guide to agentic testing: where test agents beat scripts, where they fail, how to run a 30-day pilot, and which metrics justify a rollout.

Kevin Riedl
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Native and based rollup architecture layers compared Web3 & Privacy

Native Rollups vs Based Rollups

A 2026 buyer's guide to L2 sequencing, native verification, latency, control, migration risk and what can actually ship today.

Kevin Riedl
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Tokenomics implementation stack from token rules to production infrastructure Web3 & Privacy

Tokenomics Implementation in 2026: From Model to Production

A practical architecture guide for turning approved tokenomics into contracts, vesting, treasury controls, governance, cross-chain supply and operations.

Kevin Riedl
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Shield protecting a verified zkTLS connection for an AI agent Web3 & Privacy

zkTLS for AI Agents: Prove Web Data Without Exposing Secrets

A production guide to verifiable web data for AI agents: guarantees, trust models, limits, architecture choices, and pilot gates.

Kevin Riedl
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