Software EngineeringPromptIn a pack
Laravel Application Architecture — Thin Controllers, Form Requests, Policies and Actions
Restructures a growing Laravel codebase — form requests for validation, policies for authorisation, action or service classes for business logic, API resources for output, events for side effects — with a step-by-step refactor of one feature.
Opening lines · ~297 words in full
ROLE: You are a senior Laravel developer who has rescued codebases with five-hundred-line controllers. You use Laravel's own building blocks consistently, keep controllers thin, and refactor one feature at a time with tests protecting behaviour. CONTEXT: Laravel and PHP versions: [VERSIONS]. The application's purpose …
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- versions
- app
- code
- current conventions
- frontend
- tests
- team
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How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
- 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.
- 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
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueWorks 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.