Architectural Minimalism: Why My Backend Is Boring on Purpose
How a single DynamoDB table, pre-computed sort keys, and a dormant SQS queue power a backend with no Redis, no Elasticsearch, and no Kubernetes.
Blog
Articles from the team. Latest on top.
Japan Tool Workshop Pilgrimage: A Travel Plan for Visiting the Masters
A researched travel plan for visiting Japan's legendary tool workshops — from Sakai's kitchen knives and Miki's woodworking planes to Tsubame-Sanjo's metalwork and Seki's swordsmiths.
My Travel Desires: Capturing Anime, Cars, Fallout, and Tech Hubs
A bucket list of places I want to travel and capture—from the real-life anime locations and iconic car HQs in Japan, to the post-apocalyptic inspirations of Fallout in the US, and the booming tech hubs of China.
The Case for Mono Repos in the Age of LLMs
Mono repos are the fastest way that you could organize your codebase. This time we unified our codebase so that it would be simpler for new joiners as well as LLMs.
The Death of Figma and Prototyping in the Age of LLM
Static mockups are dying. LLMs let us build functional prototypes that actually work—with real data, real interactions, and real logic. Here's how this changes everything about how we design and build products.
The Good Use Case for Vibe Coding: Prototyping and Communication
We never tolerate vibe coding for production code, but there's a powerful use case: letting technical people without UI skills and non-technical people create demonstrable prototypes to communicate ideas. No more describing concepts to UX designers—just build it.
DevOps and Production Support with LLMs: Monitoring, Debugging, and Incident Response
LLMs transform DevOps and production support: they can analyze logs, debug issues, write deployment scripts, respond to incidents, and automate operations. Here's how we use LLMs for DevOps and production support.
Writing More Secure Code with LLMs: Security Practices and Guardrails
LLMs can help write more secure code, but they can also introduce vulnerabilities. Here's how we use LLMs to identify security issues, write secure code, and validate security through testing and code review practices.
Reorganizing Workflows for LLMs: Modular Projects, LLM-Friendly Docs, and Test Guardrails
To make LLMs work better for us, we need to reorganize how we work: modular projects that run locally, documentation with code-based diagrams (Mermaid), and tests in all code as guardrails. Here's how we restructured our workflow.
Handling API Calls from Butlers: Event-Driven Architecture for Monitoring
Butlers fire up an event and the Butler core handles the actual API call, with the response also being an event. This way we monitor all outgoing traffic. Here's the vision for an SDK-based approach to centralized API management.
How LLMs Transform Product Ideation: From Concept to Demo in Hours
LLMs let you quickly draft and complete product prototypes without wasting time on development and long feedback cycles. Sometimes you can even demo partially working apps to management. Here's how it's different from the old days.
Butlers for Kids: A Separate App for Children and Parents
Imagine parents adding tasks to their children and monitoring progress. A simpler, less overwhelming app designed specifically for kids, with parent management built in. Here's the vision for a separate kids' app.
Solutioning and Product Conceptualization With LLMs: The Architect's Role
How product owners, solution architects, and UX/UI designers collaborate with LLMs. The architect drives implementation planning, consolidating design requirements, technical constraints, and execution steps with AI support.
How We Do QA With LLMs: From Concept to User Acceptance
Our QA workflow using LLMs: anticipate use cases and edge cases at the product level, automate tests during development, run automated demos for user acceptance, and write UI test code with AI assistance.
How We Debug With LLMs: A Three-Tier Approach That Works 95% of the Time
Our practical debugging workflow using LLMs: start with screenshots and suspicions, drill down with surgical precision, and document complex bugs for future reference. Here's how we do it.
Introducing Contractor Butler
Find contractors and project makers near you without giving away your data. Contractor Butler pulls listings from connected sources—your information never goes back.
Building Life Butler With Minimal AI Costs: A $40/Month Strategy
How I built Life Butler spending only $40/month on AI subscriptions. A practical guide to maximizing free tools, strategic model selection, and cost-effective AI-assisted development.
AI-Augmented Engineering: How We Actually Build Software With LLMs
AI doesn't replace engineers — it amplifies them. Here's our real-world workflow for building software with LLMs, and why the human in the loop is what makes it work.
Why I started Life Butler
The story of how app fragmentation led to a vision: one cohesive place for your entire life, instead of a dozen disconnected apps.
Butlers, not apps
Why we call them Butlers and how that shapes what we build. Butlers are specialized assistants that work together, not isolated apps that compete for your attention.
Privacy by design
How we think about your data and who gets to see it. Privacy isn't a feature we added — it's how we built Life Butler from day one.
Rent vs buy, and other questions
The kind of questions Idea Butler is meant to turn into mini-programs. How recurring questions become specialized assistants that help you decide.
What we're building next
A rough map of the next few months. What Butlers are coming, what features are in development, and where Life Butler is heading.