Service
Production-ready MVP in days, built with AI + CLI
AI coding agents write the routine code from the command line; I own the architecture, review every line, and ship it to production. You get a real MVP site or web app in days instead of months.
How do you create a website fast without cutting corners?
AI-assisted web development means an AI coding agent runs in a CLI next to the codebase and writes the repetitive parts — routes, forms, CRUD, tests, deployment config — while a senior engineer defines the architecture, reviews every diff, and takes responsibility for security and performance. That split is why a production-ready MVP website takes days rather than months: generation is cheap, judgement is not. Rapid MVP development this way starts at $2,900 and typically ships in about two weeks, with real code in your repository, a working deploy pipeline, and a path to extend the MVP into a full product instead of rebuilding it.
What you get
This is fast website development without the usual trade-off. An AI coding agent runs in the CLI next to the codebase and produces the repetitive parts — routes, forms, CRUD, tests, deployment config — while I define the architecture, review every diff, and stay accountable for security and performance. You end up with a real product in production: your repository, your domain, your infrastructure, and a codebase a team can keep building on.
A working MVP in production, not a clickable mockup
Full source ownership in your own repository
Deploy pipeline, monitoring, and backups from day one
EN/RU i18n and SEO baked in, not bolted on later
How the build runs
- 01
Scope call
A 30-minute call to cut the idea down to what has to work on launch day. We agree the data model, the must-have screens, and the deploy target before any code is written.
- 02
Skeleton in a day
The AI agent scaffolds the project from the CLI: routes, database schema, auth, CI, and a first deployment you can open in a browser on day one.
- 03
Daily builds
Features land in small reviewed increments. Every AI-generated change goes through my review before merge, and you see the deployed result the same day.
- 04
Launch and handover
Hardening, load check, SEO and analytics wiring, then handover: repository access, deployment docs, and two weeks of fixes included.
A two-week MVP, day by day
- → Day 1 — scope, data model, routes, deploy target
- → Days 2-4 — core flows generated and reviewed line by line
- → Days 5-8 — integrations, auth, payments, admin screens
- → Days 9-12 — hardening, load check, launch and handover
MVP vs prototype vs no-code
Prototype
Throwaway UI to test an idea. No data model, no auth, nothing to build on.
No-code build
Fast to a demo, then capped by the platform and its monthly per-seat pricing.
AI + CLI MVP
Real code you own, shipped at prototype speed, ready to extend into a product.
Traditional agency vs AI + CLI delivery
Traditional agency
- → Discovery phase before a line of code
- → Three months and $30k+ to first release
- → Juniors on the keyboard, seniors on the invoice
- → Change requests priced per ticket
AI + CLI with senior review
- → Working screens in the first week
- → From $2,900, fixed scope per milestone
- → One senior engineer accountable end to end
- → Changes land the same day they are agreed
Fixed price per milestone
Scope is agreed before each milestone, so you always know what the next invoice buys.
MVP website or web app
from $2,900
typical delivery: 2 weeks
- → Production deployment on your domain and infrastructure
- → Source code in your repository, no vendor lock-in
- → Senior code review on every AI-generated change
- → Two weeks of post-launch fixes included
Stack I use
Frequently asked questions
How long does an MVP take?
A focused MVP site or web app ships in about two weeks. A marketing landing can be live in two to three days. Anything with payments, complex roles, or third-party integrations usually needs three to four weeks — I say which bucket you are in on the first call.
Is AI-generated code safe to run in production?
Only when a human owns it. Every generated diff goes through my review, the architecture and data model are mine, and secrets, access control, and input validation are written and tested deliberately. AI accelerates typing, not judgement — that is the entire difference between this and vibe-coded projects that fall over in month two.
AI + CLI development vs a traditional agency — what actually differs?
The cost structure. An agency bills a team: project manager, designer, two developers, QA. Here one senior engineer works with AI agents, so you pay for architecture and review instead of coordination. The trade-off is scale: this model is ideal up to a few hundred thousand lines and one product, not for a fifty-person program.
What do I need to prepare?
A clear description of the one thing the product must do, any existing brand assets, and access to your domain and hosting if you already have them. No specification document required — we write the scope together on the call.
Who owns the code?
You do, from the first commit. The repository is yours, the deployment runs on your accounts, and there is no runtime dependency on me or on a proprietary platform.
Can you extend the MVP after launch?
Yes — most projects continue as a monthly retainer or a second milestone. Because the MVP is real code with tests and a deploy pipeline, growing it into a full product is continued development rather than a rewrite.
Have an idea and a deadline?
Book a 30-minute Zoom call. We will cut the scope down to what actually has to ship first, and you leave with a timeline and a price.
Book a 30-minute Zoom