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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 describes building Scion as its infrastructure needs changed. It reports about 2,500 code changes merged per day in May 2026 and more than 30,000 per day in September; this is a company-specific case study, not a general baseline.
Why read it: See how a team reasons about source control bottlenecks when its workload changes sharply.
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.