Problem

Design a Rate Limiter

An API needs to limit how many requests a client can make in a given time window to prevent abuse.

Submitted March 23, 2026

·@OvernightRice
Define constraintsExplore tradeoffs
8/10

Iteration Score

Evaluated on stage progression, iteration quality, and depth of thinking

6/10

Goal Alignment Score

The user addressed constraints but did not fully explore tradeoffs as initially stated in their goals.

·The user clearly progressed through the stages, starting with clarifying requirements and moving to constraints and architecture.
·Each prompt built on the previous one, showing an evolving understanding of the problem.
·The user effectively explored potential bottlenecks at higher loads.

Prompt Chain · 4 prompts

1

User Prompt

Clarifying

What are the core functional requirements of this system?

AI Response

350 in·133 out·483 total

To clarify the core functional requirements of the rate limiter, consider the following questions: 1. What is the maximum number of requests allowed per client within a specific time frame? 2. Should the rate limiting apply per user, per IP address, or some other identifier? 3. What happens when a client exceeds the allowed limits? Should they receive an error response, or should their requests be queued or delayed? 4. Should there be different rate limits for different types of users or API endpoints? Identifying these requirements will help you understand what the rate limiter needs to do. Next: Think about the specific functionalities and behaviors you want from the rate limiter.

2

User Prompt

Constraints

How much data do we store and for how long?

AI Response

502 in·169 out·671 total

To define the constraints around data storage for the rate limiter, consider these questions: 1. What kind of data do you need to store? For example, do you need to track the number of requests per user or IP, timestamps of requests, or both? 2. How long do you need to retain this data? Is it sufficient to keep it only for the duration of the time window (e.g., seconds or minutes) or do you need historical data for analysis or auditing? 3. How will the data be managed and purged? Will you implement a time-to-live policy for data entries once they are no longer relevant? These considerations will help you determine the scale of the data storage needed and how to manage it effectively. Next: Think about the specific data points you need to store and the duration for which they should be retained.

3

User Prompt

Architecture

Walk me through the high-level architecture and key components.

AI Response

690 in·108 out·798 total

It seems you've jumped to the "Structure" stage without fully clarifying the functional requirements and constraints of the rate limiter. Understanding these aspects is crucial because they will inform how you design the architecture and components. Before moving on to high-level architecture, ensure you have a clear understanding of the requirements (like request limits, identifiers, and actions on limit breaches) and constraints (like data retention and storage needs). These will guide your architectural decisions. Next: Revisit the functional requirements and constraints to ensure they are fully defined before outlining the architecture.

4

User Prompt

Scaling

What breaks first at 10× load?

AI Response

815 in·109 out·924 total

It looks like you've moved to the "Deepen" stage by considering failure modes at increased load, but it's important to first analyze the functional requirements and constraints of the rate limiter. Understanding these will help you identify which components might be stressed under load and how they might fail. Consider what aspects of your system will be most affected by a 10× increase in load: is it the data storage, the processing logic, or perhaps network bandwidth? Next: Clarify the functional requirements and constraints before delving into specific failure points under load.

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