Part 3A: Advanced Context Engineering — Modular Cursor Rules & AGENTS.md

Answer-first: Advanced context engineering with path-scoped cursor rules structures repository knowledge into targeted hierarchical instructions matching glob patterns, preventing token window exhaustion and instruction shadowing by feeding coding agents only domain-specific constraints, architectural rules, and anti-corruption interfaces relevant to the active source file rather than flooding the prompt buffer with irrelevant monorepo files. Prerequisite: Familiarity with Cursor IDE configuration, glob pattern matching, and directory structure design in monorepos. 1. The Death of the Monolithic Prompt File In early AI coding setups, teams placed a massive 2,000-line .cursorrules file at the root of their repository containing every guideline imaginable: React component standards, Go concurrency patterns, SQL migration rules, and CSS styling guides. ...

Part 5: AI-Native Pod Operating Models & Engineering Team Topologies

Answer-first: Structuring high-velocity AI-native engineering organizations requires transitioning from traditional functional silos to autonomous three-to-four-person pods comprised of an architect, two fullstack orchestrators, and a verification specialist, accelerating DORA release metrics fourfold while establishing rigorous FinOps token expenditure governance models that deliver audited returns on generative artificial intelligence investments across software teams. Prerequisite: Familiarity with Team Topologies, DORA metrics, Agile sprint cadences, and engineering FinOps cost tracking. 1. The Collapse of Traditional Scrum Squads For two decades, the 2-pizza Scrum team (8–10 engineers, a dedicated Scrum Master, a Product Owner, and QA testers) was the undisputed gold standard of Agile software delivery. ...