Python Development

Django suits full web applications with an admin interface, authentication and many models. FastAPI suits fast, focused APIs and AI services. Many projects use both.

Yes. We build Python AI services that your existing PHP, Node.js or .NET application calls through an API, so you do not need to rewrite your system.

Yes. A Python and AI outcome pod works towards agreed sprint goals for a fixed monthly fee.

The cost of an AI application depends on the use case, the quality and location of your data, the number of systems it must connect to, accuracy and review requirements, and expected usage. Vibidsoft usually begins with a fixed-price assessment from $1,500 to test feasibility and define scope. A defined build can run as a milestone project, while ongoing AI product work runs as an AI outcome pod from $12,000 per month.

A Django application with a clear scope, such as a customer portal or internal business tool, typically takes two to four months to reach a first release. Django's built-in admin, authentication and database tools shorten the early stages. We work in two-week sprints with demos, so you can review working features regularly and reprioritise before the next sprint starts.

Yes. Vibidsoft uses Python to automate repetitive work such as moving data between systems, generating reports, reading and classifying documents and emails, reconciling spreadsheets and scheduling routine tasks. Where judgement is needed, we can add AI models to extract or summarise information, with a person approving the results. Most automations connect to your existing tools through their APIs, so staff keep using the systems they know.

Vibidsoft upgrades legacy Python applications through its Modernize & Rescue service, from $5,000. Python 2 reached end of life in January 2020, and older Python 3 and Django releases have also stopped receiving security fixes. We audit the code and dependencies, replace abandoned libraries, add tests around critical features and move the application to supported Python and Django LTS versions in planned stages.

Yes, when the application is built and maintained with security in mind. Django includes protection against SQL injection, cross-site scripting and request forgery, and FastAPI supports standard authentication schemes. Real security comes from the practices around the code: least-privilege access, encrypted data, secrets kept out of source code, regular dependency updates and reviewed changes. With AI features, it also means controlling what data is sent to external models.