With agents in the editor, anyone should be able to ship real software: logins, databases, emails—without hiring an engineer.
Gista.js is built for Agentic Coding: token-efficient patterns, consistent shapes, and clear intent that humans and AI read together. Your AI reads less, understands more, and stays on track longer.
Build 100 small apps, not 2 huge ones. Spinning up a database should feel like creating a spreadsheet, but with real UI: forms, navigation, pages that link together. Shipping should feel like hitting "Save" and watching it go live.
You prompt, AI builds, and it works... until it doesn't. The third feature breaks the first. Auth stops working. You spend more time debugging than building.
Every prompt starts from scratch. AI picks random libraries, invents new patterns, and loses consistency by prompt three. As conversations grow longer, context fills up, the AI drifts, forgets what it built, and breaks the last thing that worked.
Which database? Which auth? Which UI library? AI decides differently each time, creating a Frankenstein stack that doesn't compose. You end up with three different ways to fetch data and two conflicting state management patterns.
Without opinionated structure, AI guesses. It invents folder structures, naming conventions, and abstractions on the fly. You spend more time debugging its architecture decisions than building actual features.
Homebrew, Docker, Xcode CLI tools, Node version managers, cryptic terminal errors like EACCES and gyp ERR! — most non-engineers give up during setup, not during building. The code never even runs.
Never delegate understanding.
— Charles & Ray Eames
As AI takes over the keystrokes, code literacy flips: writing is cheap, reading is survival. You can outsource the typing. The thinking stays on you.
Problems only take their mask off when you wrestle with them yourself. Skip that and your prompts turn mushy, your reviews go blind, accountability evaporates. When understanding is the last human job, you either own it or get replaced.
Every feature comes with in-app guides written for both you and your AI coding assistant. Clear patterns, consistent conventions — so Claude, Cursor, or Copilot stays on track while you learn as you build.
Consistent patterns, clear conventions, pre-wired integrations. Your agent reads the same code you do — and stays on track.
React Router v7 + daisyUI with SSR. Runs locally like a real app, not a sandboxed preview.
Drizzle ORM with SQLite — local dev, cloud-hosted in prod via Turso.
Email/password with recovery and optional Google login. Cookie sessions done right.
React Email templates with Nodemailer to start. Swap to any provider when ready.
SSE streaming, reasoning models, and chat UI. Built for OpenAI and Gemini out of the box.
Long-running jobs with realtime status updates. No external queue needed.
Non-engineers are the next wave of makers. Gista.js hands them a real stack, clear patterns, and a learn-by-using path while shipping with AI.
GitHub, Vercel, and Turso are free. Ship a real app with auth, database, and emails — no credit card required.
Three tools on your laptop. Your agent handles the terminal; you stay in the GUI.
Real patterns you can read, tweak, and extend. Grow from copying to understanding.
Your repo, your database, your deploy keys. Deploy to Vercel + Turso in a minute.
VS Code or Cursor, Volta, GitHub Desktop. Accounts on GitHub, Vercel, and Turso.
Clone the repo, run pnpm dev. Your agent writes features; you review and commit.
Run deploy.sh to merge to the main branch. Your app will be live in a minute.
pnpm installpnpm dev./deploy.shYou don't need to be a developer to ship real software. If you've got ideas and AI to help, Gista.js gives you the stack to make it production-ready.
Ship real SaaS with AI on a stack that doesn't fall apart by feature three—whether you're coding solo or your whole team ships.
Stop duct-taping no-code automations and spreadsheets. Build real workflow apps your team will love—and actually maintain.
Your Next.js stack wasn't designed for AI. Ship client apps on an agent-friendly codebase—DRY, token-efficient, with built-in AI docs.
Build portfolio-worthy apps, not homework demos. Learn patterns that matter—the same ones OpenAI asks for in their take-home.
Stop debugging AI's mistakes. Start shipping.