4 Apr 2026 8:18 PM MST

Watch on YouTube:YouTube

In this episode, Noah Learner and Robin Allenson get started building our Community app. We start by reviewing our specs from Session 6, discuss some key changes, and then start talking to Claude. 

Noah gives tips on managing API rate limits, and using first principles thinking to optimize data pipelines: IE. retrieve the minimum amount of data needed to get the most insights. We share insights on thinking like a product manager. Robin demonstrates how to prompt Claude and answer questions to move the coding process along. 

Core topics:

AI tool development strategies
Managing API rate limits and token usage
Integrating AI into applications and workflows

Chapters:

00:00 Introduction and Team Dynamics
00:02 Project Planning and Research
03:09 Data Privacy and OAuth Implementation
06:08 Naming and Branding the Application
07:03 Technical Specifications and Features
10:06 Database Choices: DuckDB vs SQLite
13:01 Understanding Rate Limits and API Constraints
16:01 Data Analysis Strategies and Scope
18:57 Project Management and RASC Framework
34:00 Implementation Planning and Design Review
37:16 Understanding Sidecars and Permissions
40:43 Testing and Quality Assurance in Development
41:13 Humorous Interactions with AI
44:20 Building Specialized Agents for User Interfaces
51:03 Iterative Development and User Experience

Resources mentioned:

Claude AI - https://www.anthropic.com/claude
DuckDB - https://duckdb.org/
BigQuery - https://cloud.google.com/bigquery
Cloud Functions - https://cloud.google.com/functions
Cloud Task Queues - https://cloud.google.com/tasks
API Rate Limits Documentation - https://developers.google.com/search/apis/rate-limits