Archify
Archify: comparación y selección de un flujo de diagramas verificable
Compara Archify con diagramas manuales, Mermaid, escáneres de código y plataformas gestionadas por evidencia, determinismo, interacción y coste.

Qué aprenderás
- Compare diagram workflows by evidence needs
- Design a fair pilot rubric
- Plan a reversible migration
Antes de empezar
- Basic Git and command-line usage
- Comfort reading a project README
You can explain the project, run its documented first step, and decide what to verify before adopting it.
Conclusiones clave
- Choose by evidence and repeatability, not visual polish alone.
- Archify fits agent-generated, source-traceable, deterministic diagrams.
- A fair pilot measures edge coverage, validation, export, comprehension, cost, and review.
Start with the evidence requirement
Archify encaja cuando importan IR tipado, validación, trazas de fuente y exports autocontenidos; Mermaid prioriza sintaxis ligera, un editor manual la colaboración y un scanner el inventario. Usa la misma fixture y rúbrica de cobertura de evidencia, reproducibilidad, export, comprensión, datos y revisión.
Use one bounded fixture and the same rubric: source traceability, schema validation, editability, interaction, export formats, data residency, reproducibility, and reviewer effort. A prettier render should not win if its edges cannot be explained.
A practical decision matrix
Choose Archify when agent-assisted generation, deterministic validation, source links, and self-contained exports matter. Choose Mermaid when diagrams live beside Markdown and a simple text syntax is enough. Choose a hand-drawn editor for collaborative free-form design, and a code scanner when completeness of discovered resources matters more than explanatory layout.
Hosted tools can add comments, permissions, and dashboards, but introduce account, network, and data-retention dependencies. A hybrid is often sensible: generate an evidence-backed Archify map for review, then embed or redraw the accepted result in the team's documentation system while preserving the JSON and source revision.
Pilot and migration gates
Run representative architecture, sequence, and lifecycle fixtures through candidates. Score factual edge coverage, validation failures, export portability, visual comprehension, latency, storage, and review minutes. Keep unresolved facts visible and reject any workflow that fills gaps with unlabelled guesses.
Migrate only after the selected path meets thresholds for the team's data and review model. Preserve the original source revision, accepted JSON, and artifact so a future tool change can be compared rather than redrawn from memory.
Decision summary
Archify's differentiator is the contract between typed facts, validation, and a deterministic visual projection. That contract is valuable when architecture communication must remain inspectable; it is unnecessary overhead for a quick sketch or a pure inventory. Select it when evidence and repeatability justify maintaining the structured input alongside the image.
Cómo elegir
| Criterio | Opción A | Opción B |
|---|---|---|
| Best when | You need predictable behavior and easy auditing | You need adaptive optimization and have reliable telemetry |
| Main risk | May leave performance on the table | Can become difficult to explain or debug |
Pasos de implementación
- 1
Define whether the outcome is visual explanation, inventory, or collaboration.
- 2
Run the same fixtures and rubric across Archify and alternatives.
- 3
Measure evidence coverage, determinism, exports, latency, cost, and review.
- 4
Migrate only with preserved JSON, source revision, and accepted artifact.
Ejemplo para copiar
selection:
outcome: source_traceable_map
candidates: [archify, mermaid, hand_drawn, code_scanner]
rubric: [edge_evidence, validation, export, comprehension, review_minutes]
decision_record: requiredPreguntas frecuentes
Is Archify a replacement for Mermaid?
Not universally. Mermaid is simpler for text-authored diagrams; Archify adds typed validation, source traces, interactions, and deterministic exports when those are required.
Should a code scanner be used instead?
Use a scanner when resource discovery is the primary goal; Archify can communicate a reviewed model but cannot recover facts a scanner or source context never supplied.
Fuentes
- Archify README (captured 2026-08-31)Fuente verificada 2026-08-31
- Archify repositoryFuente verificada 2026-08-31