Blog

Tech Exploration & Product Thinking

01

Claude Code Writes 90% of My Code — But That's Not Its Most Important Job

Everyone talks about AI writing code faster. After 30 days running a one-person company with Claude Code, I found that coding is the least valuable thing it does.

Build #Claude-Code#solopreneur
02

I Shipped Two Products in 10 Days with AI. The Real Ceiling Was Not Building.

Two AI-powered MVPs, zero paying users. The bottleneck was not product quality — it was distribution. Real revenue data from solo founders reveals what actually determines your ceiling.

Build #indie-hacker#solo-founder
03

I Run My Entire Company From a Single Git Repo

No Zapier, no Notion, no n8n. One monorepo, one AI (Claude Code), and a 245-line CLAUDE.md file. Here's how I built an operating system for a one-person company: 10 agents, 10 commands, 139 commits in 5 weeks.

Build #indie-hacker#AI
04

Google Traffic Dropped 33%, But Top Sites Grew — The Distribution Playbook for Zero-Audience Founders

Original research from 16 data sources: SEO is structurally declining, AI search cites only 2-7 sources per query. Here is a three-track distribution framework for founders starting from zero.

Research #AI#distribution
05

15,000 AI Products Are Fighting for Your Users — Here's Why 90% Will Die and What to Do Instead

The SaaSpocalypse wiped $285B from software stocks. Building costs collapsed from $100M to $30. After two failed products, I found the survival playbook for indie developers.

Research #AI#SaaS
06

An 18K-Star Agent Orchestrator, and Why You Probably Don't Need It

ruflo coordinates 60+ specialized Agents with Byzantine fault-tolerant consensus and Q-Learning routing — serious enterprise-grade orchestration. But for most AI developers, a single Agent is the right starting point.

Research #agent#orchestration
07

The 20-Person Company Is Disappearing — Which Company Form Fits the AI Era?

AI isn't making every company smaller — it's hollowing out the middle. From solo AI fleets to micro elite teams, which configuration fits you? Includes a product form x company form selection matrix.

Research #AI#company-forms
08

Two Products in 10 Days, Zero Users — My First Loop as a Solo Founder

I used an AI-powered demand mining system to pick ideas, built two MVPs in 10 days, and both failed validation. A full postmortem of BuyOnce and Traction, plus the 3 rules I hardcoded into my system afterward.

Build #indie-hacker#validation
09

I Built a SaaS That AI Could Clone in an Afternoon — Then I Figured Out Why

I built a SaaS and realized AI could replicate it in an afternoon. The problem wasn't the features — I was playing on the wrong layer. This forced me to map out a "Stack Ownership Spectrum," and led to a counterintuitive discovery: going lighter isn't safe either.

Research #AI#product-strategy
10

5 Architecture Decisions Worth Stealing from an 18K-Star AI Agent Toolkit

A deep dive into 5 architecture decisions from pi-mono: runtime provider registration, dual-layer messaging, injectable tool operations, diff rendering, and session trees. Each one is ready to use in your own AI agent project.

Research #agent#LLM
11

Your AI Conversations Break After 20 Turns? You Need These Three Lines of Defense

Distilled from OpenClaw's context management system: a three-tier defense strategy against context window overflow in LLM applications

Build #LLM#context-window
12

Stop Hardcoding Your System Prompts — A Prompt Assembly Pattern Extracted from 672 Lines of Code

A modular, conditionally-rendered prompt assembly framework distilled from OpenClaw's system prompt builder

Build #LLM#prompt-engineering
13

I Read 1 Million Lines of Code and Found the Layer Most LLM Apps Are Missing

Distilling production-grade resilience patterns from OpenClaw open-source Agent engine into a reusable library for LLM applications

Build #LLM#resilience
14

Deep Dive: Comparing the Big Four LLM APIs — ChatGPT, Claude, Gemini & Grok

A systematic comparison of session-layer design across ChatGPT, Claude, Gemini, and Grok — message models, context management, standout features, API styles, and the divergent product philosophies behind them

Research #LLM#session-architecture