Read before writing
Inspection is read-only by default. Commands report their scope and only propose changes when the developer explicitly requests them.
Trace.
Understand the system behind the command.
TRACE / KNOW YOUR CODEBASE
~/workspace $ trace inspect ./src
A little context goes a long way.
src/
├── app entry points
├── components interface layer
└── lib shared contracts
↳ Every connection tells a story.
▍
Understand the system behind the command.
A developer-tool concept that turns a dependency graph into a readable explanation of how a project fits together.
Concept study
This is an illustrative portfolio entry, not a claim of shipped client work. Architecture, interface previews, and code demonstrate a direction. Verified project details and outcomes are still to be supplied.
A problem worth understanding.
A repository can be easy to run and difficult to understand. This concept explores a dependency inspector that reveals structure without requiring a separate documentation exercise.
Follow the information.
01Source files
02Parser
03Graph model
04Analysis
05Report
Explain the edge
A graph should answer why two modules connect. Every relationship links back to an import or configuration boundary.
Useful in a pipeline
The same model supports readable terminal output and structured JSON. Automation should not need to parse presentation text.
A small contract.
A clearer system.
type Module = {
path: string;
imports: string[];
};
const edges = modules.flatMap((module: Module) =>
module.imports.map(target => ({
source: module.path, target
}))
);Frontend
A readable interface with explicit loading, empty, success, and error states. Keyboard access and responsive composition are part of the model.
Backend
Validated boundaries, meaningful errors, and durable state where the workflow needs it. This concept does not include a deployed service.
Infrastructure
Separate configuration from application code, observe failures, and define recovery before scaling. Hosting decisions remain project-specific.
Clarity requires choices.
The next step is to test these assumptions against real users, real failure modes, and real operating constraints. Extra layers are useful only when they solve an observed problem.
Evidence, when it exists.
Production outcomes, performance measurements, and user feedback have not been provided. This space is reserved for verified results.