AI-driven development
Since AI became widely established, it has essentially become possible for anyone to develop apps and websites. This can bring unexpected creativity and new opportunities. At Itiden, we are here to support you in this development so that you can create a stable and secure solution.
Evaluation and analysis of code
If you have progressed far enough in developing your app or website that you are beginning to prepare for launch, it may be worthwhile to have a developer review the code, structure, and technology.
The purpose is to detect any errors or shortcomings in the existing code, but also to identify bottlenecks or problems that may arise during future development. We compile documentation outlining risks, suggestions for improvement, and necessary changes to take the work forward.
Help and guidelines before development begins
Perhaps you have a clear vision and idea of what you want to develop, but there are decisions that need to be made early in the process to avoid problems further down the line. Incorrect decisions can mean that parts of the development have to be redone.
We can help you choose both the right AI agent and the right tools from the outset, together with a robust and well-thought-out instruction file for your AI agent. We can also support you with how the code should be version-controlled, how to deploy the code to the production environment, and how to set up testing throughout the development process.
We can also provide recommendations regarding integrations with other systems or industry standards, so that you can make the right decisions from the start.
Launch your app or website
If you have a finished product, you have come a long way. However, a “finished” app or website needs more than just code and design before it can be put into use. A website must be hosted on a server, DNS pointing to the domain is needed, as well as possibly an email service for incoming and outgoing email, along with various security certificates.
When it comes to launching desktop and/or mobile apps, a developer account with Google and Apple is usually required. Certificates are also required here, along with descriptions and screenshots of your application.
This is something we have worked with for several years, and we have extensive knowledge in the area, which means we can confidently help you with what needs to be done and how.
Ongoing maintenance and analysis
Once your product has been launched and is being used by real users, it is wise to start thinking about stability and security in order to avoid negative user experiences.
Through planned reviews, we can examine code before it is deployed, provide recommendations for maintaining your tech stack, and test new features before they reach users.
Questions and Answers
What is AI-driven development?
AI-driven development means using AI as an active part of the development process to create websites, apps, and digital services more quickly and efficiently.
AI can generate large parts of the code, but knowledge of architecture, security, testing, performance, and long-term maintenance is still needed. We help combine the possibilities of AI with experienced development and technical responsibility.
What is vibe coding?
Vibe coding essentially means describing what you want to build to an AI and letting the AI create and modify the code based on instructions and feedback.
This makes it possible to quickly go from an idea to a working prototype, even without in-depth programming knowledge. However, the closer a solution gets to an actual launch and real users, the more important structure, security, testing, and an understanding of the code that has actually been created become.
We can help take a vibe-coded solution from prototype to a stable and sustainable product for the long term.
Can you review code created with AI?
Yes. We can review code created entirely or partially with AI and examine the architecture, code structure, security, dependencies, performance, and how easily the solution can be further developed.
We identify risks and technical debt and can suggest which parts should be improved before the solution is launched or developed further.
Can you help us get started with AI-driven development?
Yes. We can help with technical decisions even before development begins, such as the choice of technology, AI agent, development tools, version control, testing, and production environment.
We can also help create instructions and structure for the AI agent so that development follows clear technical guidelines from the outset.
Can you take over a solution that has already been built with AI?
Yes. You do not need to start over just because large parts of the solution were created with AI. We begin by familiarizing ourselves with the codebase and assessing its quality, structure, and any potential risks.
After that, we can improve what is needed and help with continued development, testing, integrations, launch, and ongoing maintenance.
Can you help launch an AI-built app or website?
Yes. A working prototype is not always the same as a production-ready solution. Before launch, hosting, security, environments, domain and DNS, certificates, email, logging, and monitoring all need to work properly.
For mobile apps, we can also help with the technical requirements for publishing on the Apple App Store and Google Play.
How do you ensure the quality of AI-generated code?
We combine AI with traditional methods for professional software development. This includes code reviews, automated testing, version control, security checks, and a clear structure for how the solution is built and deployed.
AI can make development significantly faster, but responsibility for ensuring that the solution is secure, stable, and possible to further develop must still lie with people who have the right technical expertise.
Can you help with maintenance and further development after launch?
Yes. We can continuously review and further develop the solution, update dependencies and technology, test new features, and detect problems before they reach users.
This is particularly important for solutions where AI generates a lot of code, as rapid development can otherwise lead to technical debt and a codebase that becomes more difficult to understand and maintain over time.