Understand unfamiliar code and plan the next change.
Use Setsumei for onboarding, code-health review, refactoring, modernization and coding-agent context. Engineers and technical leaders can inspect the report or local scan brief; compatible agents can query stored analysis through MCP.
One shared component raises a wider review question.
“We need to refactor this shared component. What else should we inspect before we change it?”
An engineering question, before the edit
Follow the structural context.
Inspect callers and dependencies, forward and backward slices, entry points and structural importance in the analyzed codebase. Use the report or local scan brief to trace the relationships and inspect source references, coverage and unresolved paths.
A compatible coding agent can query stored analysis through MCP when planning the change.
Turn the evidence into a review plan.
Engineers use those relationships to focus source reading, review and test planning. Technical leaders can examine the basis for that scope with the team. Tests and runtime checks still establish behavior; structural reach alone does not prove what will happen.
Illustrative workflow, not a customer result or a claim that Setsumei approves a change. Refresh the analysis after relevant code changes.
Find the work in front of your team.
Open a question to see how the analysis applies.
Understand an inherited codebaseWhere should I begin, and which parts does the system depend on?
Inspect entry points, shared foundations, important components and graph-derived communities. Use architecture documentation and the brief to focus source reading and onboarding.
Discuss this use case →Plan modernizationWhere should we investigate boundaries before changing the design?
Inspect communities, coupling, cycles, bottlenecks and shared dependencies. Engineers use these signals to investigate possible seams; the graph does not choose the target architecture.
Explore architecture insight →
Discuss this use case →Ground an AI-assisted changeWhat should the agent and reviewer inspect before planning an edit?
A compatible agent can query dependencies, findings, source and freshness through MCP. Reviewers can use the brief to inspect the same analyzed context alongside the proposed change.
Discuss this use case →Support technical diligenceWhere does this codebase deserve deeper technical attention?
Use structure, ranked candidates, source references and visible coverage to support your own technical review. It is a source-derived starting point, not a certification or complete technical audit.
Discuss this use case →Focus recurring code-health reviewWhich potential issues deserve experienced attention first?
Review security, performance, reliability and structural candidates in context. Inspect dead-code candidates, cycles and bottlenecks; use structural importance and optional investigation to prioritize deeper work.
Discuss this use case →Analyze, inspect or query, change, refresh.
Open the generated HTML scan brief in your browser to inspect source, priority, coverage and unknowns. Query relevant stored context through local MCP when using a compatible agent.
Use the results to focus your team’s review and tests. After relevant code changes, refresh the analysis so the next engineering question starts with updated context.
Follow the analysis workflow →Build codebase understanding for client delivery.
Consultancies and engineering services firms can use Setsumei to orient to client code, focus discovery interviews, prepare architecture documentation and investigate modernization or refactoring work. Reports and the local scan brief provide a common technical starting point for the delivery team.
Run in the client-approved local or on-premises environment with the client’s permission. Your firm and client control the source, results and any sharing; technical interpretation and delivery decisions remain with your team.