Vibe Coding · Continuity

How to Resume an AI Game Coding Session Without Making the Agent Relearn the Whole Project

End each session with a compact handoff file: last verified build, current milestone, durable decisions, changed files, tests passed, failed attempts, and the exact next task. Start the next agent from that artifact plus only the context needed for the next step.

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AI Game Creation · field notes
Direct answer

End each session with a compact handoff file: last verified build, current milestone, durable decisions, changed files, tests passed, failed attempts, and the exact next task. Start the next agent from that artifact plus only the context needed for the next step.

Conversation history is not a project memory system

Long AI sessions accumulate false starts, hypotheses, and superseded decisions. A new session needs the current truth, not every path you explored to get there.

Write a handoff while the state is fresh

Keep unresolved questions visibly unresolved

Do not let the session summary turn guesses into decisions. Mark unknowns as unknowns and state what evidence would resolve them.

Start the next session with inspection, not immediate coding

Ask the agent to read the handoff and relevant files, summarize the task boundary, and point out any contradiction before editing. This catches stale context early.

Working template

SESSION HANDOFF
LAST VERIFIED: [...]
KNOWN GOOD: [...]
DURABLE DECISIONS: [...]
CHANGED: [...]
TESTS PASSED: [...]
FAILED ATTEMPTS: [...]
UNRESOLVED: [...]
NEXT TASK: [...]
ACCEPTANCE: [...].

Source and verification note

This guide was checked against Microsoft Research: Vibe coding and Microsoft Research: Good Vibrations? and Vibe Coding in Software Development: Multivocal Review and updated Sep 5, 2026. The research describes patterns and risks rather than guaranteeing outcomes for every project; validate the workflow in your own codebase.