Arch Review Prompts: Stop Getting Vague AI Feedback and Start Getting Real Architectural Critique

If you're a staff or principal engineer at a mid-stage startup, you've probably spent an afternoon asking ChatGPT to review a system design proposal—only to get back polite affirmations that miss the actual problems. Generic architecture review prompts don't surface trade-offs, failure modes, or the specific anti-patterns that sink production systems. Arch Review Prompts solves this by giving you 140 purpose-built prompts across five architectural domains, each one designed to force justification of design choices until your reasoning either holds or cracks.

What's Inside

You're getting a complete prompt pack with five specialized variants plus supporting files:

• 140 total prompts across five distinct architectural decision domains
• 5 complete prompt variants covering REST/GraphQL/gRPC API design, OLTP-to-cloud database assessment, monolith-to-microservices evaluation, security and performance code review, and tech debt prioritization
• 28 parameterized prompts per domain built from actual consulting patterns in fintech, SaaS, and legacy modernization
• Delivered as a single PDF organized by variant chapters, so you can jump straight to your current problem
• ChatGPT-ready JSON import file included for zero-setup integration into your existing workflow
• One-time purchase for $22 with all five variants in a single delivery

Each prompt pack uses the same structural framework but with domain-specific terminology, reference architectures, and failure scenarios unique to API contracts, database migrations, microservices splits, and tech debt decisions. You're not paying for generic prompts—you're getting context-specific prompts built from patterns that actually broke things in production.

Who Should Buy This

This is built specifically for staff and principal engineers making go/no-go architecture decisions at companies past the MVP stage. You're the person who gets pulled into meetings to review someone else's proposal for splitting a service, migrating a database, or redesigning an API contract. You probably have architectural knowledge—you understand shared database anti-patterns, write amplification limits, and the cost of distributed transactions—but your time is too limited to manually build a structured review checklist from scratch every time.

You're solving problems like:

• API reviews where the contract looks reasonable but will cause downstream issues
• Database decisions where a lift-and-shift to the cloud looks simple until you hit query patterns and costs
• Microservices splits that look clean on a whiteboard but create distributed systems headaches
• Code security and performance that passes basic review but misses scaling or compliance issues
• Tech debt prioritization where you need to justify which problems to fix first

If you're a junior developer, a generalist looking for debugging help, or someone needing real-time pair programming, this isn't for you. This requires architectural context to extract real value.

Why This Works

1. Role constraints and criteria force specificity. Generic "review this architecture" prompts produce surface-level feedback because they don't constrain the AI's perspective. These prompts establish a specific role (you are a senior infrastructure engineer evaluating fintech payment systems) and named criteria (shared database anti-patterns, write amplification, failure mode analysis). That specificity cuts vague affirmations and surfaces actual weak spots.

2. Stress-testing patterns until reasoning cracks. The prompts are built to push back on design choices. Instead of "Is this good?" you get structured follow-ups like "Where does this design fail under 100x traffic load?" and "What happens when this service has a deployment incident?" This pattern comes from actual consulting work—it's how senior engineers think through problems, just parameterized into reusable prompts.

3. Five specialized variants beat one generic pack. A monolith-to-microservices evaluation is fundamentally different from an API contract review or a database migration assessment. Each variant targets specific terminology, anti-patterns, and reference architectures that matter in that domain. You're not wading through 140 prompts to find the three relevant to your problem—you jump to the five-chapter variant that matches your decision.

The Bottom Line

For $22, you're getting a structured way to conduct architecture reviews that surface the trade-offs, failure modes, and weak spots that generic AI review misses. The prompts are ready to import into ChatGPT, organized by domain, and built from patterns that actually work in production fintech and SaaS systems. If you're spending hours reviewing architectural proposals and want your feedback to cut deeper than "looks good," this is worth the investment.

Purchase Arch Review Prompts now and start conducting reviews that force real justification of design choices.