Day ShiftResources

Answer page

How do you keep coding-agent context from drifting between sessions?

Store durable intent, scope, validation, decisions, and implementation evidence in repository artifacts instead of relying on remembered chat context.

Direct answer

Prevent context drift by treating the repository as the source of truth. Keep specifications, task definitions, implementation summaries, unresolved items, and reconciliation in versioned files that every new session can read before changing code.

Diagram of deterministic, model-assisted, and human-judgment workflow layers.

Practical guidance

Make the next review decision easier.

Persist decisions

A chat can explain why a decision was made, but it is not a dependable handoff mechanism. Record the decision where planning and implementation can trace back to it.

Make the next read deterministic

A new agent should be able to locate the current task, planned scope, and acceptance boundary without asking a previous session to summarize from memory.

Reconcile after every unit

A written implementation summary and milestone review make any remaining ambiguity visible before it becomes the next session's hidden assumption.

Verified demo evidence

A public prompt and outcome, not a completion claim.

This prompt and outcome are from the website’s checked-in synthetic repository demo. Substitute your own repository paths and declared validation gates when you apply the workflow.

Repository-writing command

Prompt: "Register a canonical specification entry for this request."
outcome: Registered specification: tic-tac-toe-demo

Authorship and sources

Trace this guidance to maintained product evidence.

Maintainer
Tianna McCoy ↗Day Shift maintainer; responsible for the repository-native workflow and release evidence referenced here.
Last updated
Tested Day Shift
v0.2.26

Keep exploring

Follow the next question, not a generic funnel.

Day Shift with Codex or Claude Code

What belongs in versioned repository artifacts when coding assistants do the implementation work.

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What a Human-Agent-Contract Looks Like in a Real Repository

A concrete view of the repository artifacts that make human-agent implementation work traceable and reviewable.

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How Multiple Coding Agents Work in the Same Repository

Coordinate multiple agents through task boundaries, dependencies, and shared repository evidence.

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