Innovation in education is incredibly important. But an idea by itself isn’t enough—what really matters is how it’s put into practice. The power of Assistik.ai comes not just from its vision, but from its execution. Today, we want to show you the engine behind our project: a combination of the Agile methodology and DevOps culture. This mix helps us respond to new client requests much faster and more accurately. It improves quality, speeds up the software development process, and builds a solid foundation for future success.
Agile: Flexibility as the Key to Adaptation
Our way of using Agile is working in two-week “sprints.” Each sprint ends with delivering a working part of the application. This is very valuable because both our team and the client can see the project’s progress in real-time. This method lets us test new features quickly. It also lowers risk because our team is focused on one feature at a time, allowing us to perfect every detail.
A Project Manager's Perspective: Anna Włodarczyk
Can you give an example of a feature that changed a lot during one sprint because of feedback?
A great example is the AI feature for generating test questions.
At first, we couldn’t define the perfect prompt for the AI. We didn’t know what problems we might face or how to guide it to create good questions from the start. So, in an early sprint, we built a simple mechanism for generating questions, knowing they wouldn’t be perfect yet.
This allowed us to work on other features, like creating tests and letting students solve them. In the meantime, our team was testing the quality of the AI-generated questions and finding areas for improvement.
After analyzing all the issues, we picked the most important ones to fix. In the next sprint, we planned to improve the prompts to solve these problems, and it worked.
What did Agile allow you to do that a traditional model wouldn't?
In a traditional waterfall model, we would have had to predict all the problems in advance and get the prompts perfect before any testing began. This would mean a lot of planning, and any problems found late in the process would delay the project and increase costs.
The Agile framework, by contrast, empowered us to iterate rapidly, validate solutions empirically, and maintain strategic flexibility in response to emergent requirements. This directly translated into enhanced operational efficiency and significant risk mitigation.
DevOps: A Guarantee of Quality and Automation
At BlueRider.Software, DevOps is a system that connects software development with its daily operations. This gives us full automation, which means:
Faster delivery: Our CI/CD pipeline automatically builds and tests every change, cutting down the time by up to 50%.
Focus on quality: Automated tests check every change to make sure the app stays stable.
Ready for growth:
By leveraging Infrastructure as Code (IaC), we ensure the platform’s architecture is inherently scalable and resilient, guaranteeing Assistik.ai’s readiness for any operational scenario.
A Backend Developer's Perspective: Adam Czarkowski
How does automation impact a developer's work and creativity?
Our process works like a modern assembly line, where every step is important for the final product. It starts with Continuous Integration (CI), which is where we merge new code. Right after that, we run automated tests, like linters and static analysis. These tools check if the code is clean and find potential mistakes early. The final step is a key security check: we scan our Docker images for any known security issues. This whole organized system is what helps us work fast while keeping our quality high.
What's the technical key to performance and code quality at Assistik.ai?
Automation takes care of the boring, repetitive tasks for us developers. An efficient system handles deployments automatically, so we don’t have to do it manually. This frees up our time and energy for creative work, allowing us to focus on designing and building new features. Plus, the client can see our progress almost instantly and give feedback, which makes working together much easier and ensures we are building exactly what they need.
The Feedback Loop: From Data to Value in 14 Days
With this methodology, we are creating more than just code—we are delivering a feedback loop. We use new features as a way to check our ideas and collect data. By analyzing this information, we decide what to work on in the next sprints. This process helps us improve the project and build a product based on real test results.
Agile + DevOps = A Competitive Edge
Combining these two methods gives us an advantage:
Agile helps us build the app with clear goals in mind.
DevOps lets us deliver new features quickly and safely.
In practice, the team plans work for a sprint. Then, our automated pipeline lets us release it to production with a single click. This turns investment into a working product in record time.
Summary
The innovation at Assistik.ai isn’t an accident. It’s the result of choosing the right methods to ensure speed, quality, and flexibility.
For BlueRider.Software, this is not merely a strategy—it is the very cornerstone upon which we are architecting the future of EdTech.
Want to Learn More? Useful Links
For everyone who wants to dive even deeper into the world of agile methodologies and DevOps culture, we have prepared a list of valuable resources:
A Practical Guide to Agile (Atlassian) – A comprehensive collection of knowledge from Atlassian.
What is DevOps? (Atlassian)– A comprehensive guide from Atlassian that details the culture, automation, and practices of DevOps.
Introduction to CI/CD (Red Hat) – A solid resource from Red Hat on the topic of Continuous Integration and Continuous Delivery (CI/CD) pipelines.
Our Tech & Business Blog (BlueRider.Software) – Explore our analyses and case studies to see how we implement modern technologies in practice.