惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

S
Securelist
L
LangChain Blog
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
腾讯CDC
月光博客
月光博客
S
Schneier on Security
Simon Willison's Weblog
Simon Willison's Weblog
WordPress大学
WordPress大学
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
D
Darknet – Hacking Tools, Hacker News & Cyber Security
C
Cisco Blogs
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
美团技术团队
S
Security @ Cisco Blogs
人人都是产品经理
人人都是产品经理
L
LINUX DO - 热门话题
S
SegmentFault 最新的问题
D
DataBreaches.Net
C
CXSECURITY Database RSS Feed - CXSecurity.com
Microsoft Security Blog
Microsoft Security Blog
www.infosecurity-magazine.com
www.infosecurity-magazine.com
N
News | PayPal Newsroom
W
WeLiveSecurity
F
Fortinet All Blogs
The Hacker News
The Hacker News
The Register - Security
The Register - Security
P
Palo Alto Networks Blog
Engineering at Meta
Engineering at Meta
T
The Exploit Database - CXSecurity.com
Vercel News
Vercel News
G
GRAHAM CLULEY
博客园 - 聂微东
P
Privacy International News Feed
P
Privacy & Cybersecurity Law Blog
Hacker News: Ask HN
Hacker News: Ask HN
Webroot Blog
Webroot Blog
G
Google Developers Blog
T
Tailwind CSS Blog
V
Vulnerabilities – Threatpost
L
Lohrmann on Cybersecurity
T
Tenable Blog
Cisco Talos Blog
Cisco Talos Blog
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
S
Security Affairs
云风的 BLOG
云风的 BLOG
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
B
Blog
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
Hugging Face - Blog
Hugging Face - Blog
T
Threatpost

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
How My Coworker Who Didn't Know 'cd' Shipped to Production
Matty Stratt · 2026-04-24 · via DEV Community

This morning, our Design Lead asked me how to get her terminal into the right folder.

Tanya [6:57 AM]
my ghost isnt in tiger den anymore! GAH do i do /tiger-den
or what was the command to make it work in tiger den

Matty [7:14 AM]
What what?

Tanya [7:14 AM]
sorry lol
you know when i go into terminal/or ghostie
and i need to type the thing to make it so im working in tiger den

Matty [7:14 AM]
Yes type cd tiger-den

Tanya [7:15 AM]
YES
OK CD
thank you

Enter fullscreen mode Exit fullscreen mode

Tanya has been at Tiger Data for about two weeks. In that time, she shipped a feature to our production Next.js app.

I'm not going to pretend that's a normal sentence to write.

Tanya is our Design Lead. She runs brand. She's the reason our designs look the way they do and our blog thumbnails don't look like a high school yearbook. She is not a software engineer. She had not, as far as I know, previously planned on becoming one.

She didn't become one. She just started shipping.

The feature she shipped is an internal brand hub: a searchable index of every Tiger Data brand asset (logos, typography, colors, whatever you need) plus an interactive image builder that works like Canva (if Canva had been written specifically for our team). You can upload your own images, pick from our logo library, layer in backgrounds and icons, and drop text on top. Drag everything around, resize it, line it up. Export a PNG. (The thumbnail on this post was made with it.)

The downside of teaching a designer to use the terminal is that she will want hers to look like yours. Tanya saw my Ghostty theme and my catppuccin Starship theme over a screen share and decided she wanted both. Her Claude Code statusline came next. That's an entire other post.

Hold both of these facts in your brain at the same time: Tanya is asking me what cd does this morning. Tanya shipped a real feature to a real codebase last week.

If you read my last post on coding agents and internal tooling, you know where I ended it. The caveat was that I was a solo contributor to a real codebase, and the first comment on the post called out exactly the right thing. Who owns this when you leave? That's a reasonable question. In March, my answer was "me, and that's a problem."

My answer in April is "...and also Tanya."

That's only true because of what got built alongside the agent. The agent is the interesting part of the demo. The boring part is what made it safe to hand a Next.js codebase to a designer who's still learning cd.

Here's that boring part.

The agent is not the hard part

Coding agents are very good at a lot of things. Being trustworthy is...not one of them.

I don't mean malicious. I mean if you ask an agent to fix a bug, it will often fix the bug. It will also sometimes decide the failing test is "probably flaky" and move on. Or notice a test it doesn't understand and quietly skip it. Or hit an error, try a second approach, fail, try a third approach, fail again, and by the time you look up it has deleted the function you were trying to fix. Or my favorite one: "These test failures are unrelated to my changes".

This is catchable. I catch a lot of it. I've been doing ops since before the Seinfeld finale aired, and I have been running DevOpsDays since before most of the current DevOps job descriptions existed. I read every diff before it leaves my machine and I have strong opinions about what a normal-looking CI run is supposed to contain.

I still miss things, everyone does. I rubber-stamp, I push tired, I get three levels deep on a task and stop reading carefully. Even with the paranoia cranked up, I am not reliably the last line of defense for my own work, let alone anyone else's.

And the paranoia itself is not transferable. "Notice when an agent silently dropped a test case" is not a skill you pick up in two weeks. It is not a skill most of the engineers I know pick up in two weeks, because most of them never had to. I cannot hand it to Tanya by writing a memo.

So the question is not how do I make Tanya as paranoid as I am. The question is: how do I make the system so paranoid that it doesn't matter how paranoid any of us are on a given Friday afternoon?

You build the paranoia into the system. (If this sounds familiar, it should.)

Rules are a suggestion

The first place everyone reaches is CLAUDE.md. Some people call theirs AGENTS.md if they want the file to be portable across agents that aren't Claude. Same idea. You write down the rules you want the agent to follow, drop it at the root of the repo, and the agent reads it every session.

Ours has a section called "Golden Rules". A handful of the actual rules from the actual file:

Diagnose before fixing. Read errors, trace code, explain your hypothesis before writing any fix. No guess-and-deploy.

Never dismiss failures. Test failures, CI failures, lint warnings. Investigate every one. Never call them "pre-existing" or "not my problem."

Never destructive without permission. No DROP, TRUNCATE, DELETE without WHERE.

Always use /pr to push. Never raw git push.

These are not theoretical. Each one is on the list because the agent did the thing I didn't want it to do, often enough that I eventually wrote it down. (Sometimes from running /insights in Claude Code.)

Does the agent follow them? Mostly. Does the agent ignore them when convenient? Also yes.

The failure mode is an exchange you have probably already had:

Me: "Wait, you just pushed to main."

Claude: "Oh shoot, you're right. The CLAUDE.md says to use /pr. I just... didn't."

It apologizes. It means it. It will still do it again on Tuesday.

CLAUDE.md is training; it shapes the default behavior. It does not enforce anything. Treat it like training and it is useful. Treat it like a wall and something is going to walk through the wall.

That was the first thing I had to learn. It might have take a few times.

Skills are a habit

If rules are what you write down when you want an agent to know something, skills are what you write down when you want the agent (or the human) to do something the same way every time.

A Claude Code skill is roughly: a folder with instructions, some scripts, and a slash command. Type /setup and it walks through our dev environment setup. Type /debug and it starts a structured investigation instead of letting the agent flail. Type /release and it runs the release process in the right order.

The one that matters most is /pr.

Our repo has a preflight checklist you have to pass to open a pull request. It runs lint. It runs the typechecker. It runs the tests. It runs the build. It runs a code review subagent. If any changed files touch rendered output, it runs a UI verification step. If any touched docs, it runs a docs-drift check. If any touched security-sensitive paths, it runs a security review. Only then does it actually open the PR, and even then it opens it as a draft.

All of that is one command. Tanya does not have to remember any of it. She types /pr.

This is still not enforcement. Skills are suggestions. A motivated human (or a tired agent, or a confused agent, or an agent being nudged by a tired human) can skip /pr and push directly, and nothing in the skill itself will stop them (note: the skill does try to tell the agent when it should try to run it, and it usually gets it right...but not always).

The job of a skill is to make the right way the easy way. /pr is one command. Running all of those checks by hand is eight. If typing /pr is easier than doing the alternative, the alternative stops happening. That is most of the game.

Tanya used /pr for the brand hub. She did not run lint, typecheck, tests, and build in sequence. She would not have known to! She typed a slash and a word. Everything ran.

The rest is between her and the agent.

Hooks are a wall

The rule "never push to main" lives in CLAUDE.md. The skill /pr is easier to type than the alternative. Neither of those is enforcement.

The enforcement is a pre-push git hook.

If you (or a coding agent) run git push from a machine with our repo checked out, the hook fires before the push leaves your laptop. If the branch you are on is main or production, the hook exits 1 and prints the error message I wrote specifically for the version of me that is about to do a dumb thing. The push does not happen.

If the branch is anything else, the hook runs lint, typecheck, tests, and build locally. If any of them fail, the push does not happen.

There is a flag to skip hooks, yes. If the agent tries to use it, a separate PreToolUse hook catches the command before it runs and blocks it on protected branches. And if a push somehow lands on the remote anyway, GitHub branch protection rejects it on the server side.

I did not build all three layers on day one. I built them in the order I needed them, which is to say I built each one the first time something got past the layer before it.

There is also a SessionStart hook that runs before the agent does anything. It checks that the Node version is the one the app expects, that the environment file exists, that dependencies are up to date, that the database the session is about to touch is the development database and not production. If any of that is wrong, the session opens with a warning, and the agent is told to act on the warning before doing anything else.

None of this requires the agent to cooperate. None of it requires the human to remember.

CI is the outer wall. Six jobs, parallel, on every pull request. Lint. Typecheck. Frontend tests. Backend tests across three shards. Build. Doc drift check. If any job fails, the PR cannot merge. If the PR does not have a label, a seventh job fails. Zero warnings allowed.

This is the only layer that does not care how tired anyone is, how confused the agent is, or what quiet thing got dropped on the way through. It just says no.

Tanya has never pushed to main. She could not push to main if she tried. Neither can I. We have confirmed.

The scaffolding is the product

Here is the funny thing about all of this: none of it is new.

Linters. CI. Pre-commit hooks. Code review. Required labels. Branch protection. Engineering teams have been writing these guardrails for the humans on the team for two decades. What changed is that the same guardrails now work on the agent. And because the agent does most of the typing, they work for the non-engineer driving the agent too.

The three layers are just discipline given shape. Rules tell the agent what you want, skills make the right thing the easiest thing, hooks enforce the non-negotiables. That stack is not new. It is what engineering has been doing for twenty years, and it works.

What did change is the cost. A CLAUDE.md is an afternoon. A skill is another afternoon. A git hook is an hour. A SessionStart script is an hour. Most of them I wrote in a single week, when the alternative was cleaning up after a mistake the agent had already made twice.

The agent isn't the product, the scaffolding is. The agent is really good at working inside it without stepping on anything important.

There is one piece of scaffolding I have not been able to write.

It is the call on my calendar every few days where Tanya and I hop on a screen share and work through something hand-in-hand. We have a name for these. It is "make Tanya an engineer." Sometimes we are making her Claude Code statusline look cool. Sometimes we are picking out a new text editor and making it hers. Sometimes we are walking through how the app is put together so we can figure out how to make it even more awesome.

They are still happening. They will probably still be happening in six months. I am not trying to automate them away.

There is something about a real person on the other side of a screen share that makes the work feel survivable. A CLAUDE.md will not do that. A slash command will not do that. The hooks definitely will not do that.

That is also part of the system.

Two things I owe you

First, a callback to Guilherme on the last post. You were right that Retool is bus-factor insurance. You can also roll your own. It's called a CLAUDE.md, a pre-push hook that exits 1, and an hour-long call called "make Tanya an engineer."

Second, a correction on the opener. Tanya is not the only other person shipping code to Tiger Den. A few other folks have been committing too. I made her the hero because her two-week arc was the cleanest story. Apologies to the rest of the team for the dramatic license.

Airtable, it's been real. Tiger Den is better. Tanya is proof.

This post was reviewed and approved by Tanya before publishing. Zero AI agent skills involved.