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Every EasySpawn article, newest first — deploying AI-built apps, Claude Code, databases, security, and the infrastructure underneath.
217 posts · page 6 of 9
How to Launch Your First App: A Beginner's Launch Checklist
Your app works. Now what? A practical launch plan for first-time builders: the pre-launch checks, where to find your first users, how to launch on Product Hunt, Reddit, and Hacker News without getting ignored or banned, and what to watch in the first week.
How to Know When Your App Is Down (Before Your Users Tell You)
Most small apps find out about outages from an annoyed email. Three cheap layers — an uptime check, error tracking, and logs you can search — mean you hear first, and usually know why. What each one does, how to set it up in an afternoon, and how to avoid alerts you'll learn to ignore.
How to Keep Claude Code Costs Down (Without Making It Worse)
Claude Code usage is driven less by how much you ask and more by how much context every request carries. Where the tokens actually go, how to see them, and the habits that cut usage — clearing between tasks, picking the right model, trimming CLAUDE.md, and planning before building.
How to Install Claude Code on Mac, Windows, and Linux
A step-by-step guide to installing Claude Code: the recommended native installer, Homebrew, WinGet, and npm; which account you need; signing in; checking it works with claude doctor; updating; and fixing the install problems beginners hit most often.
Implementing Rate Limiting: Algorithms, Redis, and Response Headers
Fixed window, sliding window, token bucket, and GCRA — how each behaves at the edges, how to implement them atomically in Redis or Postgres, choosing keys behind proxies, fail-open vs fail-closed, headers clients can use, and layered limits for login, APIs, and AI endpoints.
HTTP Status Codes Explained: 200, 301, 404, 500 and the Rest
Every response from a server starts with a three-digit number that says how it went. What the 2xx, 3xx, 4xx, and 5xx families mean, the dozen codes you'll actually meet, what each one tells you about where a bug lives, and which ones your own API should return.
HTTP Caching Headers: Cache-Control, ETags, and Getting It Right
Most caching bugs are header bugs. How Cache-Control directives actually behave (max-age, s-maxage, no-cache vs no-store, private, immutable, stale-while-revalidate), how ETags and 304s work, Vary, and a practical header policy for static assets, HTML, APIs, and personalised pages.
HTML, CSS, and JavaScript: What Each One Does
Every web page is built from three languages with three different jobs: HTML for structure, CSS for looks, JavaScript for behaviour. What each one is, how they fit together, what they look like, and how much of each you need to understand to steer an AI tool.
How to Write a CLAUDE.md That Actually Changes What Claude Does
Most CLAUDE.md files are either empty or a wall of generic advice Claude would have followed anyway. What to put in one, what to leave out, how the files load, and how to tell whether yours is working.
How to Read an Error Message (and Fix Things Faster)
Error messages look like walls of gibberish, but they usually tell you exactly what went wrong and where. How to find the one line that matters, what common errors actually mean, where to look when there's no error at all, and what to give an AI so it can fix it first time.
How to Read a Diff: Reviewing What Your AI Tool Changed
A diff shows exactly what changed in your code: red lines removed, green lines added. How to read unified and side-by-side diffs, what the @@ lines mean, where to look them up in Git, VS Code, and GitHub, and a quick review routine for AI-generated changes.
How to Write Good Prompts for AI Coding Tools
The difference between an AI tool that builds what you want and one that goes in circles is usually the prompt. A simple structure for asking — goal, context, constraints, and how you'll know it's done — with before-and-after examples you can copy.
How Much Does It Cost to Run an App? A Realistic Monthly Budget
Hosting, database, domain, email, AI usage, storage, and the tools around them. What each costs for a small app, what's free, where surprise bills come from, and three example budgets — from a side project to a small business with paying customers.
How Automatic SSL Actually Works (and Why It Sometimes Doesn't)
The padlock in the browser comes from a certificate that has to be issued, installed, and renewed on a schedule that keeps getting shorter. How Let's Encrypt and ACME prove you own a domain, how tools like Traefik and Caddy automate it, and the five reasons a certificate fails to issue or renew.
How to Keep API Keys Out of an AI-Built App
AI-generated code hardcodes API keys all the time — and 'put it in an environment variable' isn't enough if the variable ends up in the browser. Which keys are safe to expose, which never are, and how to fix a key that's already leaked.
Handling Webhooks Reliably: Signatures, Idempotency, and Retries
Webhooks arrive late, twice, out of order, or from someone pretending to be Stripe. How to verify signatures against the raw body, acknowledge fast and process in the background, make handlers idempotent, cope with ordering, and test the whole thing locally.
How to Hand Off an AI-Built App to a Client
Freelancers and agencies are shipping client apps faster than ever with AI. The handoff is where projects go wrong: accounts in the wrong name, no documentation, and an open-ended support expectation. A checklist for handing over cleanly — and keeping the relationship profitable.
GraphQL vs REST: What's the Difference?
REST gives you many endpoints that each return a fixed shape; GraphQL gives you one endpoint where the client asks for exactly the fields it wants. How each works, over-fetching and under-fetching, the costs GraphQL adds, and why most small apps should start with REST.
What Is .gitignore? Keeping Secrets and Junk Out of Git
A .gitignore file tells Git which files never to save — your .env secrets, node_modules, build output, and OS clutter. How it works, the pattern syntax, a starter file for JavaScript projects, and what to do if you already committed something you shouldn't have.
How Much Does GitHub Codespaces Actually Cost?
Codespaces bills by the hour for compute and by the GB-month for storage, with a free allowance on personal accounts. How the meter works, three worked examples from occasional to full-time use, and the settings that stop the bill surprising you.
GitHub Codespaces Alternatives in 2026: An Honest Shortlist
Codespaces is a strong product, but not the right fit for everyone — usage billing, GitHub lock-in, and no path from dev environment to running app. The alternatives worth considering in 2026, what each is actually good at, and which ones have quietly changed direction.
Set Up CI With GitHub Actions in Ten Minutes
Continuous integration runs your checks on every push and pull request, so broken code is caught before it merges — whoever, or whatever, wrote it. A working GitHub Actions workflow for a Node project, what each line does, how to make checks required, and the mistakes that make CI slow or insecure.
Git Branches Explained for Beginners
A branch is a safe parallel copy of your project where you can try something without touching the working version. What branches are, the commands to create, switch, and merge them, a simple workflow for solo builders, and why branches matter when an AI agent is editing your code.
Git and GitHub for Beginners: The Undo Button for Your Whole Project
If you build with AI, git is the single most useful thing you can learn — it lets you save your project at good moments and go back when the AI breaks something. What git and GitHub are, the six commands you need, and a simple routine to follow.