Augment Code explains rules, hooks, MCP

The useful angle here is not “AI can code” but how agentic development actually gets operationalized inside a real toolchain.

• –The video frames task lists, rules, and hooks as control surfaces that keep agents aligned instead of letting them operate as opaque autocomplete
• –Augment’s context engine remains the core differentiator, with the rest of the workflow layered on top to make that context usable in IDE, terminal, and review flows
• –The inclusion of MCP signals that interoperability is now table stakes for serious AI dev platforms, not a nice-to-have
• –For developers evaluating AI coding stacks, this is a practical tour of orchestration mechanics rather than another benchmark-heavy demo