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Hand-picked papers, lab write-ups and engineering posts. Each entry links to the original source with our own short summary — we never republish the articles themselves.
A technical guide to the parts that make up a coding agent, including its model, context, tools and control loop.
Why read it: Build a mental model of agent architecture before focusing on any one coding product.
Anthropic's guide to choosing simple workflows or agent patterns, and to designing tools and evaluation. Published in 2024, so check newer sources for current platform details.
Why read it: A practical framework for thinking about agent design without assuming that every task needs a complex autonomous system.
Resources are curated manually by CORTEX administrators. The data model records a source and external id so automated discovery can be added later without redesign.