Starting Codex? Open This Guide First
I keep a living Codex Vible for install, settings, App vs Web, and how it differs from ChatGPT, because the product ships updates faster than most people can relearn it.
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AI Coding & Software Engineering
Vibe coding, autonomous coding agents, and software engineering with AI.
30 posts
Builders Are Already Patching Codex for Performance and Quota
Two structural issues in Codex defaults cut reasoning short and explode agent trees. Here is what I measured and the config.toml changes that fixed both.
The “Senior Who Turns 50 Lines Into One” Is Now an Agent
Encode review taste as rules and examples, then let an agent apply the same compressions a strong reviewer would.
Three Design Vocabularies That Kill AI Slop UI
Component names, motion words, and click-to-selector tools beat “make it pop” every time.
사용자의 반복 작업을 스스로 skill 로 만드는 프롬프트가 큰 화제입니다
Blog version of a 2026-05-30 LinkedIn note — same claims, cleaned structure for reading.
OpenAI Founder Day
Blog version of a 2026-05-26 LinkedIn note — same claims, cleaned structure for reading.
FDE Forward Deployed Engineer
Blog version of a 2026-05-21 LinkedIn note — same claims, cleaned structure for reading.
만약 토스 시니어 디자이너가 Codex 의 UI 를 리뷰한다면?
Blog version of a 2026-05-08 LinkedIn note — same claims, cleaned structure for reading.
/goal 을 더 잘 쓰고 싶다면, 메타 프롬프팅을 활용하세요
Blog version of a 2026-05-05 LinkedIn note — same claims, cleaned structure for reading.
Codex 가 무거워지기 시작했다면 이 글을 한 번 보세요.
Blog version of a 2026-05-04 LinkedIn note — same claims, cleaned structure for reading.
OpenAI 가 직접 공개한 현 시점 최고 모델 GPT-5.5 프롬프트 작성법.
Blog version of a 2026-04-30 LinkedIn note — same claims, cleaned structure for reading.
보고서, 이제 바로 슬라이드가 됩니다.
Blog version of a 2026-04-23 LinkedIn note — same claims, cleaned structure for reading.
사람들은 4년 동안 AI 이미지를 냉소했습니다.
Blog version of a 2026-04-22 LinkedIn note — same claims, cleaned structure for reading.
Codex computer use
Blog version of a 2026-04-19 LinkedIn note — same claims, cleaned structure for reading.
OpenAI Sora의 실패가 증명한, 생성 AI 시장의 4가지 냉혹한 현실
Blog version of a 2026-03-25 LinkedIn note — same claims, cleaned structure for reading.
Claude Code 29 Tools vs Codex 7 Tools: The Design Philosophies Are Polar Opposites
I dug into SDK type definitions and system prompts for both tools. The 29 vs 7 gap isn't about feature count. It's about two fundamentally different answers to the same question: how should an AI coding agent interact with your system?
570,000 Lines of LLM Code Compiled Fine. It Was 20,171x Slower Than SQLite.
Someone benchmarked an LLM-written Rust reimplementation of SQLite. The gap between code that looks right and code that is right turned out to be five orders of magnitude.
How Codex Solves the Compaction Problem Differently
I reverse-engineered how Codex handles context overflow compared to Claude Code. The answer involves AES encryption, session handover patterns, and KV cache tricks.
4 Tool Design Principles Claude Code Learned After 3 Rebuilds
Anthropic's Claude Code team rebuilt their tools three times. Fewer tools made the AI perform better. Here are four hard-won design principles.
free-router: I Built a CLI That Finds Free AI APIs So You Can Vibe Code for $0
I couldn't sleep after a conversation about shipping more work publicly, so I built free-router at 3am. It pings free AI models in real-time and wires them into your coding tools with one keystroke.
7-Step Pipeline to Verify Code Written by AI Agents
When agents push 3,000 commits a day, humans can't review them all. Here's how to build a machine-verified pipeline that catches what people can't.
I Was Too Lazy to Write CLAUDE.md — Turns Out That Was the Right Call
New benchmark data shows AGENTS.md and CLAUDE.md context files actually hurt coding agent performance. Sometimes laziness is the best engineering decision.
4 Updates from Anthropic, OpenAI, and Google: The Hidden Pattern
Three companies updated their coding agents at the same time. The directions overlap. The real battleground isn't models; it's how fast they absorb developer workflows.
5 Software Turning Points Predicted by Hugging Face's Co-founder
Thomas Wolf's five predictions for how AI will fundamentally reshape software architecture, from the end of dependency culture to AI-native programming languages.
How OpenAI Built 1 Million Lines of Code Using Only Agents: 5 Harness Engineering Principles
OpenAI's Codex team built a 1M-line codebase using only AI agents. Here are the five harness engineering principles they discovered along the way.
Codex 에이전트에게 100만 줄을 맡긴 OpenAI, 사람이 한 건 딱 5가지였습니다
Blog version of a 2026-02-11 LinkedIn note — same claims, cleaned structure for reading.
The AI Flywheel Paradox: OpenAI's Bet on More Compute Amid Overcapacity Fears
While the market warns of GPU overcapacity, OpenAI declares it needs even more compute. The real winner won't be whoever has the most power - it'll be whoever closes the gap between AI capability and actual user experience.
The Era of AI Deploying Production Code Overnight
How a Claude Code plugin named after Ralph Wiggum is redefining autonomous coding through iterative loops, memory architecture, and stop hooks.
10 Principles of AI Coding from the OpenClaw Creator
Peter Steinberger, who built GitHub's fastest-starred project, shares 10 hard-won principles for working with AI coding agents.
The Vibe Coding Era: Founders Are Becoming Editors-in-Chief, Not Coders
In 2026, the grammar of startups is changing. The founder's role is shifting from writing code to orchestrating AI - and taste is the new technical depth.