Turn Requirements into Traceable Test Evidence
Know the current state of testing
Reqode connects test design and execution to the Requirements structure, so teams can see what is covered, what has become outdated, what was executed, and where evidence is still missing.
Requirements coverage
See which Requirements have current Test Cases, which depend on outdated tests, and which remain uncovered across the project and its subsystems.
Test currency
Identify Test Cases designed against an older Requirement revision and review the exact product behavior that changed.
Execution state
Review passed, failed, blocked, skipped, in-progress, and untested behavior for the selected Test Environment.
Read coverage and results in product context
Start with the project-level picture, compare coverage by subsystem, and use the Requirements folder and module structure to locate gaps.
Switch the active Test Environment to understand the latest execution state without losing the connection to the behavior being validated.
From product behavior to execution evidence
Every layer remains connected, so a test result can be understood as evidence for a specific part of the product rather than an isolated pass or failure.
Define the behavior
Requirements, interfaces, data, APIs, and implementation context describe what the product is expected to do.
Design the checks
Create structured Test Cases or lightweight checklists linked to the Requirements they validate.
Execute in context
Assemble Test Cases into Test Suites and Test Runs for the relevant environment, milestone, and delivery scope.
Preserve the evidence
Keep results, step-level outcomes, comments, authorship, environment, and execution history connected to the original behavior.
Keep Test Cases aligned as Requirements evolve
Browse Test Cases through the same folder, module, and Requirement structure used to define the product. Search and filter by type, lifecycle, priority, labels, and Requirement revision state.
Test Cases are revisioned and branch-aware. Feature work can fork and evolve its QA baseline without prematurely rewriting Main, while outdated links make review needs explicit.
Model tests at the level your team needs
Structured Test Cases
Use a concise description or ordered steps, connect the primary Requirement, and reference additional Requirements where an individual step validates related behavior.
Types and Test Suites
Adapt Test Case Types to the project and organize reusable groups of Test Cases into Test Suites before assembling an execution scope.
Traceable revisions
Preserve Test Case history, compare revisions, and update the saved Requirement revision when the test has been reviewed against current behavior.
Start from product context, not a blank test form
AI Test Designer analyzes selected Requirements, related specifications, existing Test Cases, and relevant implementation context before proposing QA changes.
Review structured suggestions to create new Test Cases, update existing ones, or deprecate checks that no longer describe the product. Edit the proposal and apply only the changes your team accepts.
Plan execution without losing product context
Organize the work at the Test Run level while preserving the detailed evidence produced by every Test Run Case.
Test Environments
Maintain project environments and their code-branch mappings so execution evidence remains attached to the context in which the product was tested.
Active and archived Test Runs
Set the owner, environment, milestone, and lifecycle state; monitor progress and the distribution of passed, failed, blocked, skipped, in-progress, and planned cases.
Historical Test Results
Keep each recorded result with its Test Case revision, Test Run, environment, author, comment, timestamp, and step-level outcome snapshot.
Explain every result, not only the final percentage
Open a Test Run to understand what has been executed, what remains planned, and where failures or blockers affect Requirements in the selected scope.
Use the historical Test Results browser to investigate individual outcomes by result, Test Run, environment, author, and Requirement structure.
A shared QA control layer for people and agents
Reqode gives human testers, AI assistants, and external testing agents the same structured context: Requirements, current Test Cases, environments, execution scope, and the evidence already collected.
Request focused context
MCP-connected agents receive the relevant product behavior, current test design, and environment context instead of operating from an isolated prompt.
Execute with external tools
Testing agents use the browser, API, automation framework, or specialist tooling appropriate for the check while Reqode preserves the intended scope.
Return traceable evidence
Structured outcomes flow back to the corresponding Test Run, Test Case, environment, and Requirement so automated work remains reviewable and explainable.
Use QA evidence to answer delivery questions
Prove Requirements Coverage
Find current, outdated, and missing Test Case coverage before release review.
Assess Milestone Readiness
Review delivery progress and QA execution together before deciding to ship.
Make every test result part of the product story
Keep requirements, test design, human and agent execution, and historical evidence connected as the product evolves.