Archive
The complete archive. Threat analysis, defensive guides, security architecture and independent tooling reviews.
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AI video has moved from novelty to production tool for specific shot types. Here is what each category delivers, and an honest account of duration, consistency, physics and cost limits.
Free AI tiers are more capable than they were, but every one of them has a wall. Here is what you actually get, where it stops, and what you pay in data instead of money.
A practical guide to AI automation: a screening process for candidate workflows, honest ROI math, human-in-the-loop design patterns, governance, and a 90-day rollout that survives contact with reality.
Nine structural shifts are reshaping how AI gets built and bought in 2026 — from agents leaving the demo stage to the infrastructure constraint nobody can engineer around.
The Model Context Protocol turns bespoke AI integrations into a standard interface. Here is the architecture, the three primitives, the handshake, the security model, and a working server.
Cursor and Windsurf are both VS Code forks with agents built in, and they solve the same problem with opposite philosophies. Here is which one fits which developer.
Everything between your first API call and a service you can put in front of users: key handling, streaming, structured outputs, tool calling, retries and token accounting.
Which AI agents work, which are demos, and how they fail. Coverage of coding agents, computer-use agents, research agents and the frameworks underneath, plus an evaluation checklist.
Aesthetics are no longer the deciding factor between image models. Prompt adherence, editing quality, workflow integration and — above all — commercial licensing are what separate them.
The security model of an LLM application is different from a web application's, and most teams are still applying the old one. Here are the real risk classes and the controls that reduce them.
A vector database is an approximate nearest neighbor index with a storage engine attached. Understanding the index type and the filtering strategy explains almost every performance difference between them.
Eight AI coding tools assessed against criteria that matter in real repositories: context handling, agent reliability, review workflow, and cost predictability.
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