Living Documentation

Keep requirements, specifications, architecture and delivery context current as the product evolves. Without creating a new document for every sprint or feature.

One current product model, not a trail of disconnected documents

Traditional documentation captures a moment. As teams copy specifications into sprint notes, tickets and release documents, the same product behavior begins to exist in several places—and nobody is certain which version is true.

Reqode keeps product knowledge in focused artifacts with stable identity. Their actual state, historical revisions and connected delivery context stay available in one navigable model for product teams, engineers, QA and AI agents.

STATIC DOCUMENTS

Knowledge is copied as work moves forward

  • Each sprint or release creates another document.
  • Changes lose the decision and delivery context behind them.
  • Related specifications, code and tests drift independently.
  • People and AI must search for the version they can trust.
LIVING PRODUCT MODEL

Knowledge evolves through controlled changes

  • Stable artifacts keep one address across their lifetime.
  • Actual state and historical revisions remain distinct.
  • Relations expose the wider impact of a change.
  • Every task starts from focused, current product context.

What makes documentation living

Living documentation is not simply editable content. It combines stable identity, controlled history, change context and feedback from delivery.

Stable identity

A requirement or specification keeps its key while its content evolves. Links, discussions and automations continue to point to the same product concern.

Controlled revisions

Draft, Locked and Deprecated states make the editable version explicit. Historical snapshots preserve what the artifact contained at an earlier point.

Change context

Change Requests group affected artifacts and related work. Project branches let a team prepare parallel changes without obscuring the current main product view.

Delivery feedback

Connections to software units, source files, Test Cases and verification Findings reveal when implementation evidence no longer matches documented intent.

ONE ARTIFACT THROUGH CHANGE

The behavior evolves. Its identity and history remain.

Consider one requirement for user sign-up. The team does not replace it with a new sprint document when authentication changes. The same requirement moves through controlled revisions.

Each revision preserves the behavior accepted at that point. The actual version stays obvious, while Change Requests explain why the next state exists.

REQUIREMENT · STABLE KEY

User Sign Up

One stable artifact key across every meaningful product change.

REVISION 1 · LOCKED
Password sign-up

The initial accepted behavior remains available as history.

REVISION 2 · LOCKED
Add SSO support

A Change Request connects the decision, affected specs and delivery work.

REVISION 3 · ACTUAL
Add 2FA support

The current working state is clear without erasing earlier behavior.

Same artifact. Clear actual version. Reviewable history.

Living through the project lifecycle

The model stays useful because it supports the decisions a team makes from discovery to long-term maintenance.

1
DISCOVERY

Capture decisions as product knowledge

Turn a product decision into addressable requirements and focused specifications that can be reviewed, related and refined.

2
FEATURE DELIVERY

Change only the affected context

Use a Change Request and project branch to revise the relevant artifacts while keeping the main product view stable for everyone else.

3
RELEASE READINESS

Verify before treating it as true

Review connected specifications, implementation and tests. Resolve confirmed Findings, then lock the accepted artifact state.

4
MAINTENANCE & HANDOVER

Recover context without archaeology

Trace current behavior to its decisions, revisions, code and tests. Give a new teammate or AI agent the context that applies now.

At any point, the team can answer four questions

The value of documentation is not the volume written. It is the confidence with which people and agents can use it to make the next decision.

What is true now?

The actual artifact version provides the current product intent instead of forcing the reader to reconcile several documents.

Why did it change?

Revisions and Change Requests preserve the historical state and the reason a new state was introduced.

What is affected?

Relations lead from product intent to connected specifications, software units, source files, tests and delivery work.

What context should AI use?

Reqode MCP supplies the current project, branch, artifact and architecture context instead of an unbounded repository search.

See how the living model stays connected

Living Documentation brings several Reqode capabilities together. Explore each part of the workflow in more detail.

Change Management

Group affected artifacts, related work and approvals around the reason for a product change.

Explore controlled changes

Software units layer

Connect specifications to architectural units, source files and repository history.

Connect specs to implementation

Continuous Verification

Detect confirmed drift across specifications, architecture and implementation, then close the loop through Findings.

Explore verification loops

MCP Server

Deliver the applicable product and architecture context directly to external AI coding agents.

Explore trusted AI context

Keep product knowledge current through every change

Give people and AI one traceable view of product intent, implementation context and history.