Relationships and call hierarchies
Visualize who calls what, from low-level functions to high-level modules, tracing actual execution paths through the system.
Certain enterprise systems have grown so vast and dense that no single person truly understands them anymore. We reconstruct a verifiable, authoritative model of the codebase, its dependencies, and its operational risk zones — enabling your engineering teams to decide and execute with confidence.
Staff departures, organic growth, and outdated documentation turn every routine update into a gamble. The goal is not to draft yet another static diagram, but to extract a model that remains strictly faithful to the code actually executing.
Crucial architectural rationale now exists solely in the fading memory of a few engineers — some of whom have already left the organization.
Schemas and confluence pages stopped tracking code changes months or years ago. Dev teams no longer know which specifications to trust.
An apparently local code tweak cascades into unexpected regressions downstream. Out of caution, teams postpone necessary modernizations.
Call chains, cyclic imports, and tight couplings span multiple repositories and modules without any actionable overarching topological view.
Our proprietary code analysis engine builds an authoritative knowledge graph directly from your codebase. Automated parsing accelerates discovery; our senior architects then contextualize the findings within your business domain and operational constraints.
Visualize who calls what, from low-level functions to high-level modules, tracing actual execution paths through the system.
Pinpoint all affected downstream components before altering an API contract, data model, or core business logic.
Uncover circular dependencies and blurred boundaries across technical layers or domain models.
Identify the modules that concentrate excessive complexity, change churn, and cross-cutting dependencies to guide human peer review.
Produce a clean documentary foundation synthesized from actual source code, designed to be reviewed, refined, and handed over to your team.
Translate architectural findings into concrete engineering steps ranked by business value, blast radius, and delivery constraints.
We engineered Code Explorer to map, document, and analyze complex software topologies: a Rust-powered engine that transforms any repository into an indexed graph of symbols and relationships (call hierarchies, imports, inheritance, ownership), directly queryable by developers and AI agents via Model Context Protocol (MCP), running 100% locally. It powers our consulting audits; it is not a standalone off-the-shelf product.

An interactive code knowledge graph to explore modules, relationships, call paths, external dependencies, and structural hotspots.
A lucid synthesis of technical debt, architectural vulnerabilities, and areas requiring human validation before refactoring.
An actionable engineering trajectory to document, harden, decouple, or modernize the system without triggering a hazardous blind rewrite.
Outline your codebase scope, technology stack, and the strategic decisions ahead. We will propose an engagement structure tailored to your context, free from artificial one-size-fits-all pricing.