AI Vibe Coding
We use AI coding tools to take prototypes and MVPs from idea to working software quickly, then do the engineering that makes them safe to put in front of real users.
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For founders validating an idea, CTOs who need extra delivery capacity, and product managers with a roadmap longer than their team.
AI-generated changes
+ api/bookings/reschedule.ts
+ ui/RescheduleDialog.tsx
+ tests/reschedule.test.ts
~ db/migrations/0042_reschedule_log.sql
Engineer review
✎ timezone bug in 24h check fixed
✎ provider-only bookings blocked
Vibe coding, done responsibly
Vibe coding means describing what you want and letting AI write the code. It is a genuine leap for speed. On its own, it also produces apps that look finished long before they are safe, so we pair it with the parts of engineering AI does not do for you.
Where AI speeds us up
Where engineers decide
Spec
Acceptance criteria written with you
Generate
AI drafts code and tests
Review
Engineer reads and corrects
Test
Automated and manual checks
Secure
Dependency and secret scans
Preview
Deployed for you to try
Feedback from the preview becomes the next spec. The loop repeats until the release is ready.
What vibe coding is for
MVP development
We help you cut the feature list to one core journey, build it properly, and add analytics so you learn from launch instead of guessing.
Rapid prototyping
Clickable or working prototypes to put in front of users, investors or your board. Built to learn from, and labelled as such.
Try a risky feature or integration quickly in a throwaway branch, so the real build starts from evidence rather than guesses.
Already built something with an AI app builder? We review it and make it safe for real users. See the health check.
App development timeline
Phases overlap on purpose: you see working software early and often. We put dates on this only after discovery, because scope, integrations and your feedback speed decide the length.
Shape
Users, core journey, scope cut, success metric
Prototype
Clickable or working prototype, tested with users
Build
Feature sprints with a preview after each
Harden
Security review, load checks, error tracking
Launch
Production deploy, monitoring, analytics
Iterate
Learn from users, plan the next release
Indicative only. Bar lengths show relative effort in a typical MVP, not a fixed schedule.
Prototype rescue and hardening
AI app builders such as Lovable, Bolt, Replit, Base44 and Cursor are excellent for getting an idea working. Before real customers, real data or real payments arrive, the code needs a proper health check.
We review the codebase and tell you plainly whether to harden it, refactor parts of it, or rebuild the core and keep what works.
Request a prototype reviewAuthentication and roles
Users can read other accounts' records through the API
Secrets and API keys
Payment key exposed in front-end code
Database access rules
Row-level rules missing on two tables
Input validation
Server trusts values sent by the browser
Error handling and logging
Errors fail silently; no tracking
Automated tests
None yet
UI and core user journey
Works well; keep as is
Findings are typical examples of issues in AI-generated prototypes, not results from a specific client project.
Who we build with
| Topic | Founders | CTOs | Product managers |
|---|---|---|---|
| Usually need | A first version real users can try, without hiring a full team yet | Extra delivery capacity that fits existing standards and review | Roadmap items shipped without pulling the core team off priorities |
| We focus on | Cutting scope to one core journey and a measurable goal | Your repo, conventions, CI and code review process | Clear specs, frequent previews and predictable releases |
| You see | A clickable prototype early, then a working build to test | Pull requests with tests that your engineers can review | A preview link for every feature before it ships |
| At the end you own | The code, accounts and docs to hire your own team later | Code that passes your checks and that your team can maintain | Shipped features, analytics and a backlog for next time |
AI coding tools
Tool names are examples, not partnerships. The production stack (React, Laravel, Flutter and more) is on our App Development page.
AI-written or not, you own
Questions
Start your build
Tell us who it is for, what it must do first, and whether anything is already built. We will come back with questions, a suggested scope and next steps.