Part of the Syntaxa Platform
Feature 01
Repository Analysis
Setsumei scans repositories directly from source code.
Part of the Syntaxa Platform
Your architecture
already exists.
Setsumei reconstructs it.
Setsumei rebuilds how software systems actually work directly from source code, generating architectural intelligence for modernization, due diligence, refactoring, operational risk analysis, and AI-assisted engineering workflows.
Most organizations do not fully understand the systems they operate. Setsumei creates architectural ground truth from the code itself.
01/The Problem
Most architecture knowledge exists as assumptions
- The architecture diagram is outdated.
- The service map shows runtime traffic, not structural relationships.
- The engineers who understood the dependency chains left years ago.
- The AI assistant suggesting changes has no idea what downstream systems depend on the file it is editing.
- This is not a documentation problem.
- Documentation is the symptom.
- The real problem is that most organizations have never had a continuously regenerable model of how their systems actually work.
02/What Setsumei Does
Architectural Ground Truth From Code
Setsumei reconstructs software architecture directly from implementation.
scan.sh
The platform analyzes repositories to build structural understanding across:
- services
- modules
- dependencies
- trust boundaries
- data flows
- operational hotspots
- blast radius
- hidden coupling
- modernization blockers
- architectural drift
This creates consulting-grade architectural intelligence generated directly from source code.
Not assumptions. Not tribal knowledge. Not static diagrams. Architectural ground truth.
03/How It Works
How Setsumei Works
Feature 02
Structural Reconstruction
AST-driven analysis reconstructs system architecture from implementation itself.
Feature 03
Multi-Agent Analysis
Specialized analyzers evaluate architecture across multiple dimensions:
- structure
- complexity
- security
- performance
- dependency behavior
- technology risk
- modernization readiness
Feature 04
Architectural Intelligence
The system generates verified findings and architectural evaluations grounded in deterministic structural analysis.
Feature 05
Regenerable Understanding
Architectural models can be regenerated repeatedly across repository history and evolving codebases.
04/What Teams Learn
What Setsumei reveals
01
Blast Radius
Understand what a change actually impacts before refactors begin.
02
Hidden Coupling
Reveal dependencies and architectural relationships teams did not know existed.
03
Architectural Drift
See where implementation diverged from intended design.
04
Structural Hotspots
Identify the systems carrying the highest operational and maintenance risk.
05
Modernization Readiness
Understand which systems are safe to evolve, and which are likely to create migration.
06
Dependency Intelligence
Map critical paths, architectural gravity wells, and operational bottlenecks.
07
AI Engineering Context
Provide AI-assisted development workflows with architectural understanding grounded in the real system.
A scan report
Executive Summary · setsumei scan_report
scan ID 2026-05-11T14:02
- REPOSITORY
- turborepo
- PATH
- /Users/trevorjones/dev/turborepo
- ANALYZED
- 2026-05-11T14:02:56.025Z
- DURATION
- 5.5m
- ENGINE
- setsumei v0.4.2
FILES ANALYZED
483
COMPONENTS
1,968
EDGES
3,674
GRAPH RESOLUTION RATE
41.1%
ANOMALIES DETECTED
202
FINDINGS CONFIRMED
16
Findings by Severity
CRITICAL0
HIGH4
MEDIUM12
LOW0
Findings by Category
SECURITY0
COMPLEXITY4
PERFORMANCE12
MAINTAINABILITY0
RELIABILITY0
05/ROI
Architecture evaluation becomes repeatable software
Today, organizations spend enormous amounts of time and money trying to understand systems manually.
Setsumei transforms architectural understanding into repeatable software.
This includes:
- architecture consulting
- modernization assessments
- technical due diligence
- performance
These engagements typically require:
- senior engineering time
- expensive consulting resources
- incomplete manual analysis
- weeks or months of investigation
- outputs that age quickly
Run scans:
- before major refactors
- before migrations
- during due diligence
- after incidents
- during modernization initiatives
- across repository history
This is not new budget. It replaces existing spend.
06/Historical Analysis
See how architecture evolved over time
Architectural risk accumulates gradually. Complexity spreads across commits, releases, migrations, shortcuts, and evolving dependencies.
Setsumei can analyze historical versions of repositories to reveal:
across repository history
where architectural drift began
how complexity accelerated
which decisions introduced fragility
where modernization risk accumulated
how operational risk evolved structurally
Even today, historical analysis provides visibility traditional architecture consulting cannot realistically reproduce manually.
The roadmap expands this into continuous architectural intelligence across repository history.
07/MCP & AI Workflows
Architecture intelligence for AI-assisted engineering
AI coding systems increasingly modify production systems without understanding the architecture they operate inside.
Setsumei is designed to expose architectural intelligence into AI-assisted engineering workflows through MCP-compatible integrations and architecture-aware tooling.
This allows future AI workflows to operate with:
dependency awareness
blast radius visibility
architectural context
modernization awareness
structural understanding
As humans and AI increasingly co-build software systems, architecture intelligence becomes foundational infrastructure.
08/Why Setsumei is Different
Most tools analyze files. Setsumei reconstructs systems.
Architectural risk accumulates gradually. Complexity spreads across commits, releases, migrations, shortcuts, and evolving dependencies.
Setsumei can analyze historical versions of repositories to reveal:
01
Traditional tooling focuses on:
syntax
linting
runtime telemetry
isolated vulnerabilities
code search
documentation generation
02
Setsumei is built around:
deterministic structural reconstruction
dependency graph intelligence
verified findings
architecture reasoning
consulting-grade architectural evaluation
continuously regenerable system understanding
This creates a fundamentally different level of architectural visibility.
09/Who It is For
Built for organizations operating systems past human-readable scale
buyers
Primary buyers
CTOs
VP Engineering
Platform Engineering teams
Principal Engineers
Staff Engineers
Architecture leadership
Secondary buyers
Technical diligence teams
Enterprise modernization programs
OSS ecosystem maintainers
AI-forward engineering organizations
Stop operating systems no one fully understands
Architecture becomes operational risk once no single team fully understands how the system works.
Setsumei reconstructs that understanding directly from source code.