AI Coding Guides

AI helped you ship a tool in four days, but a month later you can't answer: how many people visited, where they came from, where they dropped off. This hands-on guide ships a complete analytics setup in three days — tool selection, 5 core events, Next.js tracking code, privacy compliance, and three weekly reports that turn data into decisions.

AI-generated project scaffolds ship with no search, and users who can't find anything assume the product is empty. This guide covers a three-layer mental model, a Postgres tsvector vs. Typesense comparison with runnable code, and the details that matter: debouncing, highlighting, empty states, typo tolerance, plus a launch checklist.

Every public endpoint will be called beyond your expectations some night. This guide builds a one-person-team rate-limiting system: algorithm choice (sliding window vs token bucket), four-layer defense, AI-endpoint money-burning protection, quota design, 429 response conventions, false-positive triage, and a launch checklist.

Every vibe project has the same darkly comic moment: your site goes white-screen and a friend tells you before your monitoring does. This guide builds a one-person-team error monitoring system: a 5-minute Sentry loop, error boundaries, report context design, backend structured logging, AI-call-specific protection, alert tiers, and a launch checklist.

Every vibe project eventually needs scheduled jobs: daily syncs, expired-order cleanup, billing reconciliation, scheduled reports. AI's first version is usually setInterval — fine for dev, fatal in production. This guide maps four scheduling options, cron expressions and timezone traps, idempotency, distributed locks against overlap, failure retries and alerting, run-log observability, and cron endpoint auth — plus a launch checklist.

Every vibe project hits the same moment: a list page firing a dozen DB queries per load, the database melting under modest traffic. This guide starts from the three-question caching mindset, then layers HTTP cache headers, Next.js data caching, Redis application caching with key design and the penetration/breakdown/avalanche defenses, and AI result caching (semantic cache, prompt caching), plus invalidation strategy and a launch checklist.

The Zephos team planted 16 launch-killer bugs in Notely, an agent-built Next.js + Supabase + Stripe notes app — two payment-related: unsigned webhooks accepted, pro granted from a self-declared client_reference_id. This guide turns those traps into a playbook: webhook signature verification, a server-side single source of truth, the subscription state machine, test clocks, and a launch checklist. Money logic must be hand-written or audited line by line.

A practical workflow for turning an idea into a deployable MVP with Codex, Skills, MCP, design tools, and a clear technical architecture.

Traffic is moving from the search box to the AI answer box. A vibe coder ships a product in a week — and nobody finds it. This guide turns the SEO fundamentals (sitemaps, JSON-LD, Core Web Vitals) and the new AI-discovery toolkit (llms.txt, per-page Markdown versions, FAQ schema, agent-readable pricing and API docs) into a shippable 30-day checklist. The core judgment: how well you document sets your product's ceiling in the agent economy.

Getting signups is only the start — users churn by day 3 and you have no horn to call them back. This guide covers notification systems for vibe projects: channel selection, email with Resend from day one, SPF/DKIM/DMARC done right, when SMS is worth the money, frequency caps and unsubscribe, retries and dead letters, plus a launch acceptance checklist.

One 10MB avatar upload and your Node server's memory is gone. Presigned direct uploads, browser-side compression, magic-number validation, chunked resumable uploads, orphan cleanup — seven opinionated sections covering the highest-crash-rate feature in indie projects.

AI writes login code fast and confidently — but auth is where it fails most: plaintext passwords, never-expiring JWTs, broken access control, secrets in frontend code. This playbook gives you five pieces: a build-vs-buy decision table, session mechanics, passwords and credentials, the authorization model, and hardening — plus a prompt template for AI-written auth and a 10-question review checklist.