How We Use AI Tools to Speed Up Development Without Compromising Quality
Fast development is great — but not at the cost of stability or maintainability. At Appsoluty, we’ve found the balance by integrating AI tools into nearly every step of our development process, allowing us to ship better products in less time without sacrificing quality.
In this post, we’ll share how we use AI tools like Cursor, GPT-4, Lovable, Mintlify, and others to accelerate development, streamline collaboration, and enhance the work of our senior engineers.
Why Speed Alone Isn’t Enough
- Messy, unscalable code
- Costly bugs
- Poor handoff between design and dev
- Delays post-launch
That’s why our AI-assisted workflow focuses on both velocity and quality — helping developers move quickly while avoiding common pitfalls.
1. Cursor – Your AI Pair Programmer
Cursor is our daily driver for writing and reviewing code. It's an AI-first development environment that goes far beyond autocomplete.
How we use it:- Generate boilerplate code in seconds
- Refactor complex functions safely
- Detect and fix potential bugs early
- Ask "why" about unfamiliar code and get clear explanations
Cursor helps our developers write up to 30–40% faster, especially during early sprints and when working with new codebases.
2. GPT-4 – Research, Review, Refine
GPT-4 (via ChatGPT) supports us as a thinking partner throughout the process:
- Brainstorm architecture ideas or libraries
- Review pull requests for edge cases
- Translate legacy code into modern patterns
- Generate code comments and documentation
It’s like having a senior reviewer on call 24/7. Developers save time on Stack Overflow searches and make fewer errors in logic and design.
3. Lovable – AI-Powered Code Architecture
Lovable helps us speed up the early planning phase of a project. We use it to:
- Automatically generate code structures for known patterns (e.g., auth flows, API handlers)
- Scaffold out backend and frontend folder systems
- Maintain consistent naming and architecture across team members
We shave hours off project bootstrapping while ensuring clean, scalable architecture from day one.
4. Mintlify – Instant Documentation
Maintaining great documentation is essential — but often overlooked during busy sprints. Mintlify automates:
- Generating inline code comments
- Creating markdown docs for APIs, components, and workflows
- Keeping documentation synced with code changes
Developers and QA teams onboard faster, clients get clearer handoff material, and tech debt stays low.
5. Other AI Tools in Our Stack
GitHub Copilot: Occasionally used for frontend devs unfamiliar with a specific syntax or framework.
Gemini 2.5 (Google): A great assistant for Kotlin and Android-specific questions.
Custom GPTs: We’ve built internal GPTs trained on our project templates and coding standards for rapid guidance.
What This Means for Our Clients
- Shorter development cycles without rushing
- Better code quality through automated review and structure
- Faster MVP launches with cleaner handoff
- Lower costs, since developers spend less time on routine tasks
- More time for refinement, testing, and thoughtful iteration
AI + Senior Devs = Better Software, Faster
We don’t use AI to replace developers — we use it to amplify their skills. Our senior engineers can now spend more time solving real problems and less time setting up repetitive code.
This means higher quality for our clients, faster, and the ability to scale without growing the dev team exponentially.
👉 Want to see how our AI-boosted process can speed up your next mobile or web app project?
Book a free consultation, and let’s talk about building your idea — fast, clean, and future-ready.