Featured case study
Smart Skincare with Lisa
Lisa is an AI-powered skincare chatbot that helps users identify skin concerns like acne, dryness, and pigmentation.
Read the case study
AI writes and tests code faster; our developers guide it, review it and make it production-ready.
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§ Who it's for
Vibe coding pairs AI coding tools with experienced developers. AI drafts code and tests quickly, while our engineers set the direction, review every change and check security, performance and running cost. The result is working software, from MVPs to full applications, delivered faster than a traditional build without giving up quality.
You need a working product in front of users quickly, built by people who will still be able to maintain and extend it later.
You built something with Lovable, Bolt, Cursor or Replit. It demos well, but logins, payments or data start breaking with real users.
Your roadmap is longer than your team's capacity, and you want features shipped faster without lowering code quality.
Dashboards, admin panels and back-office apps that are too specific for off-the-shelf software but do not justify a long traditional project.
§ What we deliver
Choose an area to see the services in it.
The right scope, tools and approach before any code is written.
AI-accelerated builds with engineer review at every step.
AI built into the product itself, not just the build process.
Checks that make AI-written code safe to ship and run.
§ Proof
Featured case study
Lisa is an AI-powered skincare chatbot that helps users identify skin concerns like acne, dryness, and pigmentation.
Read the case study
§ Approach
We learn your business goals and requirements in detail so the build starts from a clear, shared brief.
You receive Documented requirements
We choose the tools, technologies and AI workflow for the project and lay out a delivery roadmap.
You receive Project roadmap and tool plan
We design simple, usable interfaces and a prototype so you can see how the product works before full development.
You receive Interface designs and a prototype
Developers drive AI tools to build features quickly, reviewing each change and keeping the architecture ready to scale.
You receive Working, reviewed application code
We test for bugs, security issues and performance across platforms, and fix what we find before launch.
You receive Test results and a release candidate
We launch the product, monitor performance and keep shipping updates and fixes after go-live.
You receive Live product with an optional support plan
§ Tech stack
§ Engagement
A fixed-scope first version of your product, designed, built and launched with AI-assisted development.
A short paid audit of an existing AI-built app, followed by a scoped plan to make it production-ready.
Engineers who use AI tools daily joining your team on a monthly basis.
§ FAQs
Vibe coding is software development where AI tools and developers work together. AI drafts code, tests and repetitive pieces quickly; developers guide it, review the output and make sure security, performance and cost are right. You get modern applications built faster and with less manual effort, without handing quality over to a tool.
Traditional development relies on developers writing most code by hand. With vibe coding, AI speeds up coding, testing and other routine tasks, so engineers spend their time on design decisions, review and the hard problems. The process is faster and more flexible, while the same quality checks still apply.
Web apps, mobile apps, SaaS platforms, automation tools and AI-based products. It suits small MVPs and larger applications alike, as long as experienced engineers stay in charge of architecture and review.
Yes. AI-assisted development is a good fit for startups and growing companies that need to launch quickly, test ideas with real users and then scale what works.
Yes. We design the architecture to scale from the start, so you can begin with a focused product and add features, users and integrations over time.
Yes. Beyond using AI to build, we add AI capabilities to the product where they help, such as chatbots, generative AI features and data analysis or visualization.
It depends on scope and requirements. AI-assisted development generally shortens delivery compared with a traditional build, and we give you a timeline once discovery is done.
Yes. We start with a short audit of the code, database rules, authentication and hosting, then give you a prioritized list of fixes with an estimate. In most cases we improve the existing code rather than starting again, so you keep the work already done.
You do. All source code, designs and infrastructure configuration are yours, stored in your own repository from the first day, with no lock-in to us or to any AI tool.
Not automatically. AI tools can produce code with missing access checks, exposed secrets or outdated packages. That is why every change is reviewed by an engineer, tested automatically and scanned for vulnerabilities before release. Security is checked by people, not assumed from the tool.
§ In detail
AI coding tools are great at producing a first version. The production layer (security, data rules, tests, deployment) is usually what is missing, and that is what we add.
Senior engineers review the codebase for authentication gaps, exposed keys, open database rules, unsafe payment logic and duplicated or dead code, and report what to fix first.
Most AI-built apps can be saved. We restructure the risky parts, keep what works and only rebuild components that cannot be fixed safely.
Automated tests for the critical paths, plus a pipeline that runs them on every change so new AI-written code cannot quietly break old features.
Slow queries, oversized model calls and wasteful hosting are fixed so the app stays fast and affordable as users grow.
A proper production setup with environments, backups, logging and alerts, so problems are seen before customers report them.
An experienced engineer reads and approves each AI-generated change before it is merged; nothing goes in unreviewed.
AI helps generate tests, engineers check they test the right things, and the pipeline runs them automatically.
API keys, credentials and customer data are never pasted into AI tools, and the codebase is scanned for leaked secrets.
Packages suggested by AI are checked for known vulnerabilities, active maintenance and compatible licenses before use.
§ Contact
Tell us what you want to build. We will suggest the fastest safe route to a working product in a short call.