
What is context engineering? The skill replacing prompt engineering
Context engineering is the discipline of deciding what an AI model sees at each step: instructions, documents, tools, an...
Latest articles on AI-native product development, shipping faster, and building better products.
The complete guide to north star metrics: what qualifies, what disqualifies, 50 examples across ten business models, and a step-by-step process for choosing the one number your product should move.
Heemang Parmar
Context engineering is the discipline of deciding what an AI model sees at each step: instructions, documents, tools, an...
A practical six-step path for building an app with AI in 2026: validate the idea, write a spec, generate the design, bui...
Six AI app builders compared two-sidedly: ProductOS, Lovable, Bolt.new, v0, Cursor, and Replit. Comparison table, honest...
A practical guide to answer engine optimization: how AI answer engines select what to cite, the exact page patterns that...
AI UI generators produce plausible screens in seconds, and most of them look the same. Here is why untokened output conv...

AI-native product development rebuilds the product process around AI instead of bolting AI onto the old one. Here is wha...
AI compresses weeks of desk research into hours, but only when every claim carries a citation and secondary synthesis is...

A working map of AI for product managers: which tools fit which part of the job, the workflows that hold up in practice,...
Most agent demos die before production. This playbook covers the five disciplines that keep agents alive in front of rea...
Agentic product development hands each stage of product work to a specialized AI agent working inside one shared context...