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Infrastructure Layer

AI — Within
Architectural Boundaries.

DevXStream integrates AI as a structured assistant. Suggestions are generated by AI. Final output is enforced by deterministic architectural rules.

Start Building View Architecture
user_service.dx
1
module Identity {
2
entity User {
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id: uuid // AI Suggested Validated
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email: string unique
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role: enum(Admin, User)
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}
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}
Deterministic Rules Applied 2ms generation

Assistive. Not Authoritative.

AI accelerates ideation. It does not define structure. DevXStream validates, normalizes, and enforces architectural boundaries before any code is generated.

AI Suggests

Entities, relationships, modules, and structural patterns based on your natural language intent.

DevXStream Validates

Schema consistency, naming conventions, dependency rules, and type safety checks.

Engine Enforces

Layered boundaries, folder structure, regeneration rules, and clean architecture patterns.

Control Flow
AI Input
Validation Layer
Deterministic Engine
Structured Output

Structured Suggestions.

Controlled inputs that map to strict architectural patterns.

01

Entity Modeling

Suggest tables, properties, and relationships. Automatically infers types.

02

Module Definition

Propose feature modules and boundaries. Enforces domain separation.

03

Authentication Setup

Recommend identity configuration patterns. Suggests scopes and roles.

04

Multi-Tenancy Modeling

Suggest tenancy strategy based on use case. Configures isolation levels.

05

Validation Rules

Propose field constraints and data types. Generates validator classes.

More patterns available in docs

Architectural Boundaries Are Non-Negotiable.

AI operates within constraints. Structural guarantees remain intact.

  • Cannot bypass Clean Architecture layering
  • Cannot generate cross-layer dependency violations
  • Cannot override deterministic folder structure
  • Cannot disable validation enforcement
  • Cannot inject unverified external patterns
AI Suggestion
Validation
CORE

Template-Controlled Output.

AI suggestions are mapped into controlled templates. Templates define structure, naming, layering, and separation rules. This reinforces reproducibility.

ENGINE

Scriban / T4-based

Standardized template control.

SAFETY

Regeneration-safe

Non-destructive updates.

STRUCTURE

No arbitrary files

Strict file placement rules.

NAMING

Predictable naming

Enforced conventions.

controller_template.scriban READ ONLY 
// Template Structure Enforced
public class {{ model.name }}Controller : BaseController
{
    private readonly I{{ model.name }}Service _service;

    public {{ model.name }}Controller(I{{ model.name }}Service service)
    {
        _service = service;
    }

    // AI content injected only into defined slots
    {{ for method in model.methods }}
    [HttpPost("{{ method.route }}")]
    public async Task<IActionResult> {{ method.name }}({{ method.dto }} request)
    {
        var result = await _service.{{ method.name }}(request);
        return Ok(result);
    }
    {{ end }}
}

Integrated Into the Generation Pipeline.

Step 1 — Suggest Structure → Step 2 — Validate Input → Step 3 — Normalize Entities → Step 4 — Apply Templates → Step 5 — Generate
SOURCE Import
ASSISTANT AI Suggest
GATEKEEPER Validate
ENGINE Generate
TARGET Deploy

Enterprise Control and Predictability.

  • Controlled prompt boundaries
  • No hidden transformations
  • Regeneration reproducibility
  • Full visibility into generated output
  • No opaque black-box architecture decisions

AI remains transparent. Output remains inspectable.

Intelligence With Constraints.

DevXStream uses AI to accelerate thinking — not to replace architectural discipline. Structure is enforced. Determinism remains intact.

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