Build an AI coding roadmap that survives real execution
A useful roadmap does more than divide code into tickets. It preserves why the project exists, what users need next, and what evidence closes each step.
Start with an observable outcome
Write the change a user should be able to experience. Avoid a roadmap made only of internal components, frameworks, or implementation nouns.
Split the journey into Build, Sell, Learn, and Improve
Build creates the usable result. Sell makes it discoverable and trustworthy. Learn captures market and usage evidence. Improve turns that evidence into the next decision.
Give every active step a boundary
Record the intended result, completion criteria, relevant files, known constraints, and the smallest useful verification. The Agent should not have to infer the project boundary from an old chat.
Close with evidence, not confidence
A successful Agent message is not proof. Use tests, rendered output, logs, diffs, or direct user feedback before marking a step complete.
Keep only the next useful detail visible
A roadmap should reduce cognitive load. Keep long research and raw logs in linked records, while the active view answers: where are we, what matters now, and what proves it is done?