Featured · Engineeringcache
May 23, 2026·2 min
How KV Caching Dramatically Cuts Your AI Costs
Learn how KV cache works in LLMs, why it matters for AI-assisted coding, and how our caching system saves 85–98% on input tokens.
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Field notes from a terminal-first lab.
Engineering posts, release notes, retros from production. Written by the people who built the thing \u2014 never by marketing.
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Company$/tok
May 12, 2026·6 minPay-Per-Use vs Subscription: Which AI Pricing Model Saves You Money?
An honest comparison of pay-per-use and subscription pricing for AI coding tools — with real numbers and usage scenarios that help you decide.
Productnpx
May 10, 2026·5 minGetting Started with Nilux AI: From Install to First Task
A step-by-step guide to installing Nilux AI, connecting to your first session, and completing your first coding task in under 5 minutes.
Research2026
May 8, 2026·8 minAI Coding Assistants in 2026: A Developer’s Guide
A comprehensive look at the AI coding assistant landscape — from IDE plugins to CLI tools — and how to choose the right one for your workflow.
Companyv0.1
May 1, 2026·6 minWhy We Built Nilux AI — And Why It Matters for Developers
The story behind Nilux AI — why we built a terminal-native coding assistant with honest pay-per-use pricing and project memory that persists across sessions.