Engineering governance · smallest safe solution · duplicate detection
Technical Consultant Feedback Layer for AI-Assisted Engineering
The technical consultant concept checks whether a requested task is the right technical solution before more code is written. It can detect duplicates, challenge assumptions, propose a simpler path, and return important decisions to a human owner.
Private advisor pattern · Updated 2026-08-23
What the consultant layer does
The goal is not to generate the largest amount of code. The goal is to reach the correct business result with the smallest safe and maintainable implementation.
- Identify incorrect technical assumptions before implementation expands.
- Detect when a task duplicates an existing capability.
- Recommend a configuration change or reuse path instead of a new subsystem.
- Explain conflicts with the current architecture.
- Route high-impact choices back to a human for approval.
How it supports Catalog First
The consultant layer pairs naturally with a knowledge base: find existing assets, understand dependencies, compare alternatives, and only build new logic when reuse or extension is not enough.
- Prevents duplicated plugin logic.
- Preserves existing features and workflows.
- Turns reviewer feedback into explicit implementation constraints.
Claims, limits, and safe interpretation
- This page describes an engineering pattern and private workflow, not a public SaaS product claim.
- AI recommendations still require human architecture control, testing, and source review.
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