AI Agents Run Toward Goals. Are Yours Worth It?
Claude's /goal feature lets agents work until a completion condition is met. Most examples are output-oriented: tests pass, backlog empties. Outcome is missing.
Claude's /goal feature lets agents work until a completion condition is met. Most examples are output-oriented: tests pass, backlog empties. Outcome is missing.
Spec-driven development can be a smarter way to steer AI coding agents, or waterfall with more tokens. The difference is whether the spec creates learning.
Practical patterns for using AI across the product development flywheel — from discovery and validation to faster build cycles and better feedback loops.