Practical decisions for AI and software
Technical guides to choose models, verify software and plan delivery.
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GitHub Spec Kit Review: Is It Worth the Process?
GitHub Spec Kit replaces one-shot vibe coding with reviewed specifications, plans and tasks. Here is where that structure pays off, where it adds ceremony and how to run a production pilot.
Internal AI Agent Marketplace: A 2026 Enterprise Build Guide
Build a governed internal agent catalog employees will use. Architecture, listing contract, identity, context, evaluations, approvals, metrics and a 90-day rollout.
How to Self-Host LiteLLM in Production: 2026 Guide
A security-first LiteLLM deployment guide for teams choosing their own AI gateway: architecture, Postgres, Redis, keys, upgrades, cost and go-live checks.
Software Project Takeover: A 30-Day Provider Change Plan
Changing the team behind a live product is not a repository transfer. Use this 30-day plan to regain control, prove releases and recovery, and select a provider that can inherit before it rebuilds.
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.
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.
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.
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.
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.
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