AI is a Multiplier, Not a Replacement
337
AI is a skill multiplier that rewards deep technical expertise rather than a replacement for professional developers.
Software Architecture
System design philosophy, architectural trade-offs, and engineering principles around simplicity, complexity management, and technology selection.
Reading List
The Myth of the Vibecoded Photoshop
274
The 'vibecoding' panic is a myth used to gatekeep the industry, as AI only automates syntax while architectural judgment remains the true barrier to entry.
Speed vs. Scale: Why Senior Developers are the Editors of the AI Era
825
Senior developers should act as editors who balance AI-driven speed with long-term stability by decoupling experimental prototypes from scalable production code.
The Limits of Vibe-Coding: Why AI Needs Human Architecture
1035
AI-driven development provides high initial velocity but leads to architectural collapse unless humans strictly define the structural guardrails and state ownership.
Code Over Prose: The Case for Deterministic AI Agents
590
Reliable AI agents require deterministic software architectures and programmatic verification rather than complex prompt engineering.
Stop Blaming AI for Your Bad Architecture
545
AI is a tool that requires human accountability and robust safeguards, not a scapegoat for poor architectural decisions.
Force Multiplier: Building Syntaqlite with AI and Human Design
946
AI is a revolutionary tool for accelerating software implementation, but it requires disciplined human architectural oversight to avoid creating unmaintainable technical debt.
The AI Coding Manifesto: Building Scalable Codebases
169
To prevent AI-driven codebase degradation, developers must use minimal semantic functions, clear pragmatic wrappers, and models that strictly enforce state correctness.
The Architect's Era: Building Software Through LLM Orchestration
541
Modern software development is shifting from manual coding to human-led AI orchestration, where the human acts as an architect rather than a syntax writer.
From Coder to AI System Architect
223
AI is transforming software engineering into a high-level discipline of system architecture and agent orchestration, where foundational expertise is the key to unlocking massive productivity.
Claude Code’s Opinionated Tech Stack: DIY Over Buy
611
Claude Code favors a modern, developer-centric tech stack that prioritizes custom DIY solutions and specialized platforms over legacy enterprise tools and traditional cloud providers.
Stop Database Sprawl: Postgres Now Does It All
532
Stop database sprawl—Postgres (with extensions) now does almost everything well enough in one place.
Company as Code: A DSL and Graph to Run Organizations Programmatically
264
Treat the organization itself as code—modeled in a versioned, queryable graph with a DSL—to automate compliance, analyze impact, and manage change.
Pi: A Tiny, Self-Extending Agent That Builds Its Own Tools
Keep the agent tiny, let it write and hot-reload its own tools, and you get a robust foundation for software that builds software—Pi, and by extension OpenClaw.
How Software Survives When AI Writes It All
In an AI-first world, software survives if it saves tokens: embed dense insights or run on cheaper substrates, be broadly useful, known, and low-friction—and use human value when it helps.
AI Agents Make Best Practices Non‑Optional
302
AI agents make software best practices non‑optional: enforce tests, types, structure, and fast isolated environments so agents can reliably deliver correct code.
A Web Server With No App Code: LLM + 3 Tools
436
Today’s LLMs can run your app logic end‑to‑end, but they’re still too slow, costly, and inconsistent—problems the author believes will shrink with time.
Terraform State Is a Graph, Not a File
136
Stop treating Terraform state like a file—manage it as a graph with ACID transactions to unlock safe concurrency and faster operations.
Disciplined AI Collaboration: Plan, Measure, and Ship in Small, Reliable Modules
Constrain AI with small, testable modules and continuous measurement to turn planning into reliable, data-driven delivery.