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

F
Fortinet All Blogs
S
Secure Thoughts
月光博客
月光博客
美团技术团队
雷峰网
雷峰网
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
N
News and Events Feed by Topic
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Forbes - Security
Forbes - Security
W
WeLiveSecurity
P
Proofpoint News Feed
阮一峰的网络日志
阮一峰的网络日志
爱范儿
爱范儿
G
GRAHAM CLULEY
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
AI
AI
Last Week in AI
Last Week in AI
Google Online Security Blog
Google Online Security Blog
Schneier on Security
Schneier on Security
云风的 BLOG
云风的 BLOG
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Recent Announcements
Recent Announcements
Webroot Blog
Webroot Blog
T
Tor Project blog
Cisco Talos Blog
Cisco Talos Blog
N
News and Events Feed by Topic
罗磊的独立博客
The Register - Security
The Register - Security
Blog — PlanetScale
Blog — PlanetScale
T
Threat Research - Cisco Blogs
博客园 - 【当耐特】
Apple Machine Learning Research
Apple Machine Learning Research
人人都是产品经理
人人都是产品经理
T
The Exploit Database - CXSecurity.com
www.infosecurity-magazine.com
www.infosecurity-magazine.com
B
Blog
腾讯CDC
Microsoft Azure Blog
Microsoft Azure Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
H
Hacker News: Front Page
Application and Cybersecurity Blog
Application and Cybersecurity Blog
Engineering at Meta
Engineering at Meta
Latest news
Latest news
IT之家
IT之家
D
DataBreaches.Net
博客园 - 司徒正美
N
Netflix TechBlog - Medium
V
V2EX
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知

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
From Steam to Web: The Day Job Meets the Dream
AllByte Studios · 2026-06-23 · via DEV Community

AI is game-changing for software — game dev included. In an age of game "slop" it's rightly scrutinized. But I don't believe AI can only accelerate the flood of low quality. I'd argue the opposite: it can give real time back to developers to make better games, and hand more power to the indie dev. Here's how I came to that.

AllByte

My day job is large-scale distributed systems engineering. Getting code to work together at scale — services, queues, observability, CI/CD, the whole apparatus that lets a hundred engineers ship a single product without stepping on each other.

The night project is Chronicles of Nesis — a tactical RPG I've been building solo in Godot for four years. Pixel art, custom font, hand-built dialogue system, the whole 90s-JRPG aesthetic. It exists because I love it, not because it makes business sense.

These two have always been disconnected. Gamedev folks don't usually care about distributed systems. Distributed systems folks don't usually make games. Then about a month ago, I downloaded Claude.

The Solodev

For a long time, the only way to make a solo indie game was to grind (and not the fun JRPG leveling up kind). Every line of code costs you an hour you don't have. You make trade-offs. You skip the test harness, skip the CI, skip the observability, skip the architecture diagrams — because the math doesn't work at solo scale. The same practices that make a large-scale codebase tractable would crush a one-person codebase before the game ever shipped.

So you cut corners. You manually playtest. You write code that you can hold in your head because there's no other way to verify it. You ship a half-tested build to a closed beta and hope nobody finds the regressions you can't catch yourself. The discipline isn't wrong; it's just unaffordable. Or it used to be.

The Bottleneck and The Feedback Loop

People have been asking me to download AI and code with AI for years. I always answered the same way: "I tried it, I get it, it helps you, but I can code it faster — and better." And I was right. Until I wasn't.

Code generation is fast now, but "fast" doesn't get the idea across. It's not that it's faster. It's…

I used to estimate time for very strong software engineers to complete things. I've shipped hundreds of apps, dozens of architecture stacks. I know how long it takes to build something, and how long it takes to build it right. The way I think about this now is: code generation that had to be hand-crafted ran on human time. Code generation went from human time to compute time. And if you know what a processor's clock speed is, you have an idea of what "fast" means now.

So fast that it has stopped being the bottleneck. In my opinion, the bottleneck has moved to two places: knowing what to ask for, and knowing whether you got it.

Both of those are things AI can also help with. But not for free. They each demand something specific:

  • Knowing what to ask for demands a knowledgeable user. AI doesn't replace expertise; it amplifies it. The unknowledgeable user gets fluent-sounding garbage; the knowledgeable user gets a hundred junior engineers.
  • Knowing whether you got it demands a tech stack and architecture where verification is cheap. Without that, you're back to manually verifying every little step, and the velocity gain quickly levels off.

The Game

"Zero to Steam" was the first chapter — four years of grinding the game itself into a shape worth shipping. Combat, isometric grids, dialogue, save system, controller support, the whole 90s tactical RPG vocabulary. The endgame of that era was the demo on Steam.

"From Steam to Web" is the conclusion I came to after wracking my head on a different question: OK, AI can write my code now — what do I actually do with that? It started as "well, I have four years of a passion project sitting here, how do I aim AI at it?" Which became "I know what I'd need to make AI useful at this scale — a validation loop, fast enough to keep up with how fast the code is generated." Which became "the validation loop needs Playwright, but Playwright lives in browsers, and heavy browser games are notoriously difficult to build." And then — wait. "Difficult to build" was where I started… Claude.

Chronicles of Nesis is the test case because it's four years of a codebase I care about, and because Godot exports to browser — which means Playwright can drive it. The open question is whether the practices that scale a large-scale system scale down to one person. I don't know yet. That's the experiment.

The Conclusion

All to say — why build a website? I'm trying to do a lot of things with this one. As with all meaningful projects, it should have a lot of win cases. I want to keep working on Chronicles of Nesis. I love it. Now I can make it playable in the browser (or so I hope), focus more on the art, and have Claude do the code. I can ship an enterprise-grade website with cost optimization and real features — again, thanks to Claude — and write a devlog about how Claude enables others to do the same. And probably the biggest win, and the hardest to achieve: I can provide an example — ideally a runbook — for others to use Playwright with Godot and Claude to make great games.

The Youtube video shows the loop in action — a bug reported and live-fixed in three minutes with Godot, Claude, and Playwright.