Workflow

One shared-component change, followed from task to control.

A single concrete scenario shows how repository evidence, a human decision and a configured gate attach to the same piece of work. Every name below is invented to explain the concept.

Illustrative workflow

Update a shared component.

Choose a stage to see what it contributes. This is a conceptual example, not a screenshot of the product and not proof of a successful run.

Illustrative example · static sample dataFictional names and paths

JavaScript is off, so all four stages are shown in sequence.

Stage 1 · Task starting point

Request
Update a shared dialog component so its dismiss behaviour is easier to use.
Why it is risky
Many screens may depend on it, and the change touches an interaction people already rely on.
Without help
An agent might edit the component directly, based on whatever it happened to open first.

Concept: the work begins as an ordinary task for the coding agent you already use.

Stage 2 · Evidence map

Existing usages
src/billing/ConfirmDialog, src/settings/DeleteAccount, src/projects/ArchivePrompt
Affected files
The component itself and the tests that exercise its dismiss behaviour.
Not covered
Routes loaded dynamically have not been mapped, so they are listed as unknown.

Concept: the agent works from named usages, each with a source reference, and sees where the map ends.

Stage 3 · Decision needs a person

Question
Research could not settle whether destructive confirmations may be dismissed by clicking outside. Should this change?
Asked of
The person authorised to decide interaction behaviour.
Answer
Preserve the agreed interaction.
Scope
The shared component, for development and for its tests.

Concept: the answer is kept with its reason and scope, so the next session inherits it instead of asking again.

Stage 4 · Control configured gate

Rule
Research is required before a protected edit.
Applies to
Edits to the shared component directory, which this project has chosen to protect.
If not met
The research gate blocks the edit until relevant, successful, fresh research is recorded. Intake separately checks readiness and scope; consultation alone does not prove the implementation is correct.
Not affected
Unprotected files and read-only actions proceed as normal.

Concept: evidence and decisions advise the agent. The gate is what can stop a specific action.

After the edit

The loop does not end at the change.

  1. 01

    Verify

    The result is checked by something other than the agent that wrote it, using deterministic checks where they apply. If evidence is incomplete, a result is withheld rather than asserted.

  2. 02

    Enforce

    If a mistake keeps recurring, it can become a project rule that later sessions are held to.

  3. 03

    Carry forward

    The usages, the decision and the rule stay with the project for the next session or agent.

One possible application

Example: support a team’s QA workflow.

AtlasBound’s purpose is to reinforce the development environment: repository intelligence, durable decisions, verification and project controls. A team’s QA workflow is one example of what that environment can support, alongside feature work, refactoring, bug investigation and developer handoffs.

In this example, evidence and recorded intent travel from development into test planning and review. The team owns the pipeline; AtlasBound supplies shared context and applicable controls.

Illustrative QA use caseOne application of the environment
  1. 01 · Shared inputs

    Load evidence and accepted intent

    Repository references, Intake decisions, scope and known gaps describe the change for every role.

  2. 02 · Planning and authoring

    Reuse before generating

    A planner identifies mapped coverage and existing patterns. An author works against the same intent and acceptance criteria.

  3. 03 · Execution and review

    Let the tools produce the result

    Your runner and review process supply test results. The author’s narrative does not replace execution evidence.

  4. 04 · Continue or escalate

    Keep the boundary explicit

    Your orchestrator owns retries, budgets and release decisions. Unresolved business choices return to a person; outcomes can be retained in a checkpoint.

AtlasBound supplies repository evidence, decision continuity and configured controls. Device farms, Appium drivers, flaky-test repair, queue scheduling and release orchestration belong to the surrounding system.

How to read it

What the example is for.

It shows how the parts connect in one scenario. It does not demonstrate performance, coverage or the correctness of any real analysis, and it contains no recorded output.

For the pillars behind each stage see Product. For what exists today and what is limited see Development.