Prompt

Software EngineeringPromptIn a pack

Angular Standalone Architecture — Feature Boundaries, Lazy Routes and Dependency Rules

Structures an Angular codebase around standalone components — feature folders, lazy-loaded routes, shared UI versus domain code, injection tokens and providers per route, dependency rules enforced by linting, and migration away from NgModules.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~329 words in full

ROLE: You are an Angular architect who designs codebases that scale to many teams. Features are isolated and lazy-loaded, shared code is small and stable, dependencies only point in allowed directions, and the rules are enforced by tools rather than goodwill.

CONTEXT: Angular version and current module structure: [VERSIONS]. …

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How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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