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Use Cases

Resolving Specs Inconsistencies

Use Reqode as a specification quality gate before implementation: verify requirement modules, detect duplicates, cross-type contradictions, ambiguity, and spec-type guideline violations, then route fixes into structured analyst work.
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What This Use Case Covers

Reqode checks whether the product model is coherent enough to implement.

Duplicates

Two requirements, API operations, UI states, or data definitions describe the same behavior in competing ways.

Cross-type contradictions

A requirement, data entity, user interface, wireframe, or API contract says something different about the same rule.

Ambiguity

A requirement leaves open states, actors, edge cases, permissions, validation rules, or error behavior that implementation would otherwise have to guess.

Spec type guidelines

Requirements, Data Entities, User Interfaces, wireframes, and API Operations are checked against the structure expected for their type.

What Module Consistency Verifier Checks

The verifier works with specifications only. It does not inspect source code or software units.

Target Module

The selected requirement module and all requirements and specs inside it.

Data Entities Specs

Data Entities with attributes, enum values, and relations.

UI Specs & Wireframes

User Interfaces, wireframes, and UI transitions.

API Operations

API contracts, request and response fields, errors, and side effects when represented in Reqode.

Cross-type Consistency

Relation maps show whether requirements, data fields, UI actions, transitions, and API contracts support the same product behavior.

Spec Type Guidance

Flag requirement, data, UI, and API specs that do not follow the expected structure, completeness, or clarity for their type.

Examples of Useful Findings

The verifier records concrete spec problems that a team can fix before they become implementation assumptions.

Duplicate requirement

Two requirements define the same approval step with different names, statuses, or actors.

Missing data state

A UI transition uses a status that is not present in the linked Data Entity values.

API mismatch

The requirement expects a rejection reason, but the API contract has no request or response field for it.

Underspecified rule

A requirement says "notify the user" but does not define channel, trigger, recipient, timing, or failure behavior.

Wrong artifact type

API behavior is buried inside a requirement description instead of being represented in the API Operation spec.

Weak type compliance

A Data Entity omits required attribute descriptions, enum values, constraints, or deprecation markers needed for reliable use.

Findings Turn Spec Issues into Work

The verifier writes structured Findings instead of leaving a raw AI answer. Each Finding can be reviewed, ignored, solved, or used as the starting point for AI Analyst cleanup, a product decision, or a Change Request.

Evidence: the exact requirement, data entity, UI, wireframe, API operation, relation, field, value, or contract detail that confirms the issue.
Type: inconsistency, duplication, spec-type guideline compliance, or a custom quality issue.
Severity: Low, Medium, High, or Critical, so the team can prioritize the cleanup queue.
Artifacts: links to the affected requirements, data entities, UIs, or API operations.
Analyst work: use AI Analyst to prepare reviewable changes instead of editing large specs manually.
Product decision: route unresolved ambiguity to a manager or product owner when the verifier cannot decide intent.
Change Request: group broader specification cleanup into a branch-aware work package when several artifacts are affected.
Immediate start: launch the next work item from the Finding context instead of rewriting the issue into a separate brief.

Main Workflow

Use this before implementation, before product or engineering review, or whenever a spec-heavy area changes.

1

Choose a module

Start from the requirement module that represents the feature, flow, business capability, or release scope you want to validate.

2

Run verification

Reqode prepares branch context and runs Module Consistency Verifier without code access, tool-calling, chat, or manual Apply.

3

Review Findings

Open created, updated, or solved Findings and inspect severity, affected artifacts, evidence, and proposed solution options.

4

Resolve spec issues

Use AI Analyst or manual editing to clarify requirements, align API/UI/data contracts, remove duplication, fix type-guideline issues, or add missing relations.

5

Track broader cleanup

Create or attach a Change Request when the fix touches multiple artifacts, needs review, or should stay visible in a branch.

6

Verify again

Run the module check again. Solved Findings leave the active queue, and remaining Findings show what is still not implementation-ready.

Automation

Make spec quality checks continuous

AI Automations can run module consistency checks for selected project branches after any changes are made or on a scheduled basis.

Ready to Gate Spec Quality?

Start with one high-risk requirement module. Reqode can check the specification model, create Findings, route the cleanup, and verify that the module is coherent, unambiguous, and aligned with spec-type guidelines before implementation starts.

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