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Turn product ideas into reviewable specifications with AI Analyst
AI analysis should not become product truth by accident
A chat answer can be useful, but serious software needs reviewable product decisions. Reqode separates AI proposals from accepted specifications, so product, engineering, QA, and coding agents can work from the same approved context.
AI Analyst turns product ideas, change goals, existing behavior, Findings, or code-first discoveries into structured result items. The team reviews them before they become branch-aware specifications.
What AI Analyst can prepare
The output is structured around the product model, not a loose document.
Requirements
New or updated requirements, behavior notes, business rules, and use cases.
API and UI specs
API operation notes, UI behavior, transitions, and wireframe context.
Data Entities
Data entities, attributes, enum values, validation rules and relations.
Implementation scope
Software unit trace links, change summary, and coding-agent context.
The workflow
Start with an idea or problem. End with reviewed specs and a clean implementation handoff.
Start from real context
Use a product idea, existing spec, change request, finding, issue, source file, or current implementation behavior.
Clarify what matters
When behavior is underspecified, AI Analyst asks questions that change the specification, not administrative filler.
Review the result
The team reviews generated result items, edits or disables parts, and applies only accepted changes.
Create the handoff
Accepted specs can be linked to a Change Request and handed to coding agents as stable Reqode artifact keys.
Verify after code
After implementation, Reqode checks whether code, unit responsibility, and product specs still agree.
From AI Analyst to Change Request
Accepted AI Analyst output can become part of a controlled work package. A Change Request keeps product goal, changes summary, affected specifications, implementation instructions, and AI Analyst results in one place.
Compact handoff to a coding agent
Once the specification is reviewed, the implementation prompt can be short because Reqode MCP provides the current context.
Use Reqode MCP as source of truth. Implement CR-123.
Good starting points
Feature idea
Turn an early product idea into structured requirements, API/UI/data notes, and testing context before coding starts.
Finding-driven cleanup
Use a Reqode Finding as the starting point for the minimal spec change needed to resolve ambiguity or drift.
Existing behavior
Start from a source file or current implementation area and reconstruct the product specification intentionally.
Frequently Asked Questions
Before applying AI Analyst results, you can review the proposed specifications. To make this faster, enable Diff mode and review only the suggested changes instead of rereading the full specification.
Yes. AI Analyst analyzes both the existing specifications and the current source code, then prepares its result based on both views of the system.
AI Analyst can ask clarification questions before preparing a specification change set, so unclear behavior is resolved before it reaches implementation.
A chat answer is temporary. AI Analyst works against Reqode product context and creates reviewable artifacts that can become accepted, branch-aware specifications.
After review, accepted specification changes can be linked to a Change Request and exposed through Reqode MCP, giving coding agents focused implementation context.
Prepare specs before the coding agent starts
Start with one product change. Reqode can help analyze it, produce reviewable specification updates, package the work as a Change Request, and hand exact context to your coding agent.