Day ShiftResources

Resource hub

Find out how Day Shift fits your work.

Explore the product, answer practical setup questions, and decide whether to try it. The docs cover complete workflows, commands, configuration, troubleshooting, and recovery.

Build a coding-agent workflow you can continue.

Start with the guide to planning, scope, validation, evidence, and review. Compare approaches and inspect a recorded example before choosing a tool.

See the workspace

Follow an idea through planning, agent handoff, and review.

Bring your project and tools

Check existing repositories, local storage, providers, and CLI use.

Ready to start?

Download the release, check its capabilities, and follow the setup guide.

Find your answer

Have we answered your question?

Search practical answer pages and product context, then follow each result to the canonical workflow or reference owner.

Problem
Workflow level

Search by a problem, workflow step, or tool boundary, or choose a filter.

Start with the problem

Featured answers, grouped by what you need to accomplish.

The Resource Hub answers recurring practical questions. The documentation remains the canonical owner for workflows, concepts, and commands; every featured answer links there instead of recreating a second reference hierarchy.

Problem group

Control the work

Define the boundary, autonomy, evidence, and stop conditions before an agent changes the repository.

Canonical workflow guides ↗

Answer page

What should a coding-agent task definition include?

A good task definition states the objective, implementation boundary, acceptance criteria, and executable validation before the agent changes code.

Read the answerImplement from a task ↗

Answer page

How do you prevent an AI coding agent from changing out-of-scope files?

Declare allowed target paths before implementation, review changed paths against that boundary, and require escalation before the agent broadens scope.

Read the answerImplement from a task ↗

Answer page

How to prevent coding agents from skipping validation

Put executable validation in the task contract, require the observed result in the implementation summary, and treat missing evidence as incomplete work.

Read the answerCore workflow command reference ↗

Problem group

Review the result

Inspect scope and evidence, preserve attempts, and make acceptance or requested changes explicit.

Canonical reconciliation guides ↗

Answer page

How do you review AI-generated code without reading every line?

Review the declared boundary, changed paths, validation evidence, and risk areas first, then inspect code where the evidence or scope requires it.

Read the answerReconciliation workflow ↗

Answer page

What evidence should an AI coding agent leave after a change?

Require a written implementation summary with changed paths, validation results, unresolved risks, and an acceptance or follow-up decision.

Read the answerSummarize and reconcile ↗

Problem group

Continue across sessions

Resume, hand off, and recover work from repository records instead of reconstructing a lost chat.

Canonical operating model ↗

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.

Read the answerOperating model and artifacts ↗

Answer page

How do you turn a product spec into safe agent-sized tasks?

Trace the specification through planning, then create tasks that have a single verifiable outcome, bounded paths, and explicit validation.

Read the answerPlan from a specification ↗

Problem group

Adopt safely

Choose a proportional workflow and integrate it with an existing repository, assistant, and team system.

Canonical adoption guides ↗

Answer page

How do you introduce coding agents into an existing repository safely?

Start with one bounded, reversible task and establish repository-visible validation and review evidence before expanding use.

Read the answerExisting repository workflow ↗

Answer page

Day Shift with Codex or Claude Code: what belongs in the repository

Use coding assistants for implementation; keep the durable implementation contract and evidence in versioned repository files.

Read the answerOperating model and artifacts ↗

All workflow resources

Browse every guide, including topics beyond the featured answers.

Product context

Explore the concept, comparisons, proof, and common questions.

Workflow Guide

Coding Agent Workflow: Planning, Scope, Validation, Evidence, and Review

A practical coding-agent workflow from durable intent to scoped tasks, validation evidence, human review, and cross-session handoff. See where Day Shift fits.

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Comparison

Day Shift and AGENTS.md: Instructions, Tasks, and Evidence

Compare standing repository instructions with task-specific scope, validation results, and handoff records. Decide when AGENTS.md and existing tools are enough.

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Concept

What Is a Human-Agent-Contract?

Plain-language explanation of the Human-Agent-Contract: explicit intent, scope, validation, evidence, and reconciliation for coding-agent work.

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Comparison

Day Shift vs Chat History

Why repository artifacts outlast chat transcripts for coding-agent planning, review, and handoff.

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Comparison

Day Shift vs Ticket Trackers

How Day Shift works alongside Jira and Linear instead of replacing them, managing the implementation contract inside the repository.

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Product Proof

Interactive Demo

Explore the Day Shift GUI walkthrough from idea to agent handoff and review, then inspect recorded CLI workflows and a playable example.

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Objections

FAQ

Practical answers about Day Shift, existing repositories, providers, local storage, source implementation, and CLI use.

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Community

Day Shift Community Discord

Day Shift Discord is an optional space for community discussion and peer learning.

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