#android app development programming languages

Duolingo is one of the best language learning apps. It provides users with modest exercises and takes a gamified approach. These exercises focus on summarizing words, sentences, and phrases from the language users are learning into their aboriginal language, & vice versa.

you stating that you understand the code and are a designer and developer with over a decade of experience is also something that makes a lot more sense when looking at it. the app was obviously intentionally made and not just tossed together to make a quick buck.

we're an artist ourself and design is something we appreciate. you've made the app look sleek but not in a boring way. it's just nice. we love the addition of sharp corners. we love our sharp corners.

we're starting with your app on our "mass review of plural apps" document for the community, and with every swipe we swear we find something new 😭 thank you for making this!

we're curious on your process when it comes to using ai within your coding. would you ever post about the process? have you already? we might join the discord, so if you've showed processes there we'd love to join and see how you work the kinks out of ai responses.

— @thesillybunch

We really respect your open-mindedness! You're right that we have put a ton of love and care into Prism – we've worked 10-12 hour days on it for months now, and prior to that it was a hobby project for nearly the last two years. Development wasn't spawned by Simply Plural's shutdown announcement, but by our desire for a tool that worked better for our system. We're definitely not here to make money – Prism is free and open-source, permissively licensed, and we're not accepting donations.

UI and UX polish is a huge part of what makes an app useful, and something we care about a ton. There's a lot more we'd love to do but there's a fundamental tension between feature development and polish that's hard to get right. We've been focused on adding functionality lately.

We've gone into a little bit of detail in how we use Large Language Models (we prefer the technical term over 'AI' which is really meaningless) in development in this old ask, along with some of our thoughts on the ethics of the industry, but are happy to elaborate here.

Early in Prism's development, we took a more traditional approach to development, working in an IDE writing code by hand, AI-assisted tab completions, the occasional question to a chatbot. In the last 6-8 months, models and their tooling have gotten way better at programming, and our workflow has shifted as a result.

If you report a bug in Prism today, this is how we go about fixing it:

First, we'll use the app on our phone or computer to reproduce your issue. When we feel we've sufficiently investigated and determined whether we can reproduce the issue or not, we'll write a description of what we did, and a couple ideas of what we think the issue may be based on our mental map of the code.

We pass that investigation (not your report) to an LLM with custom skills we've built for debugging – that gives the model an understanding of Prism's structure, conventions, and a summary of previous issues and common pitfalls.

Greater than 90% of the time, the model is able to root cause the issue and implement a fix without much further input. The agent has access to documentation, all of the code, web search, and iOS/Android simulators. This means it is able to autonomously research a bug, try solutions, and test until it's fixed.

Anthropic's new Claude Fable 5 model was remarkable in this regard (before being shut down by the US Government). You could throw it a loosely defined task and it could actually figure out what you wanted. Other models require a bit more hand-holding, and our documentation and tooling help a ton there.

Things like a photo not rendering properly, a markdown bug, a custom field not getting updated – these are all things that we can throw at a model and not have to spend time working on. This lets us focus on larger features, internal structures, and design.

You inquired as to how we get the kinks out of AI responses, and a lot of that is adversarial review. You can have a different model/agent review the code generated from another, and because of the non-deterministic nature of language models, you'll almost certainly come across some issues. A couple rounds back and forth in review will surface small syntax errors, UI nits, and integration problems.

The other side is testing, testing, testing. Prism has 9,774 tests spanning UI. performance, sync, encryption, PluralKit sync, Simply Plural import, updates, and more. If a change we or an agent makes breaks behavior that's tested, we know immediately. Every time we encounter a new issue, we add a regression test so that it doesn't happen again. This also lets us do things like make large refactors to UI rendering, Prism Sync, and PluralKit sync while feeling confident we're not introducing new bugs. The next version of Prism will include significant changes to all of those areas, ideally with no user-visible impact other than better performance and reliability.

To even consider this you need to have experience with at least the following:

Graphic Design (for icons, etc)

Human Computer Interaction (user interface design)

Database design and administration. This includes things like migrating to a new schema as the app grows and changes are needed without breaking it for anyone who is using the app.

REST API design and development, this includes things like API Version management so that your app doesn’t break for people who haven’t updated yet.

Backend / server development

Mobile UI development whether that’s jetpack compose or swift UI or whatever applies to the platforms you are targeting.

Programming In Kotlin, java or swift (depends on platform)

Writing and running automated tests

Automated UI Testing

Continuous Integration

Server administration or cloud dev ops

Technical Support

Debugging

Release management, which includes google play / app store polices and requirements.

(if targeting both iOS and android) cross platform development experience

Bug tracking / Project management

Backup and Disaster recovery.

Security (this includes incident response when your app gets hacked, which it will eventually).

Legal and Compliance (DID/OSDD related data could be considered health data and is subject to laws about how data is processed and stored in certain countries, which the vast majority of DID/OSDD apps are probably breaking).

Developing bug fixes and updates (google play requires an app to be updated every so often or it will be removed, I am unsure as to what apple’s policies are)

Fixing security vulnerabilities (yes you will have them)

That’s a lot of skills for one person to have. I have assumed that you are already an advanced programmer in at least one programming language. That’s not enough.

All of these things take a lot of time, and you only have one body. You probably also already have a full time job.

In an actual software company, there would be a full-time employee responsible for each of those areas who specializes in doing just that.

Demis Hassabis, the CEO of Google DeepMind, is keen to talk about the coding skills of his company’s newest model, Gemini 3.5 Flash. The model has been trained to perform complex agentic coding tasks: translate large code bases from one language to another; find and fix bugs lurking deep in knotty code; and even write entire operating systems from scratch.

Hassabis does not, however, think this spells doom for software developers. “I have no idea why people are going around talking with certainty about that,” Hassabis tells WIRED ahead of the new model reveal at today’s Google’s I/O event.

“Perhaps there is an ulterior motive for putting those messages out; raising money or whatever,” Hassabis says. “From my point of view, from DeepMind and Google's point of view, if engineers are becoming three or four times more productive, then we just [want to] do three or four times more stuff.”

Hello to each and every reader, and hello to future me!

I remember studying the tiniest amount of other programming languages, and then burning out really fast and forgetting all of the material, so now I'm making an effort to revise what I'm learning, which is great timing because the next step on the android course thingy is practicing with compose!

But in regards to actual progress, I didn't manage to do much today.

I got a bit stuck doing the practices, but before I look at the solution code, I'll give it another shot tomorrow once I'm well rested.

I'm starting to think that if I keep making such small steps forward, there's no chance I'll have anything functional in a month or so. But, I keep reminding myself that I signed up for the app development contest as an excuse to learn something I otherwise wouldn't. So, if I don't meet the deadline, I'll just ignore it and continue learning at my own pace.

A career in IT needs a mix of versatile programming languages. Here are some of the most essential ones:

Python – Easy to learn and widely used for data science, machine learning, web development, and automation.

JavaScript – Key for web development, allowing interactive websites and backend work with frameworks like Node.js.

Java – Known for stability, popular for Android apps, enterprise software, and backend development.

C++ – Great for systems programming, game development, and areas needing high performance.

SQL – Essential for managing and querying databases, crucial for data-driven roles.

Healthcare App Development Services

Choosing the right technology stack and resources is a critical decision and vital step in Healthcare App Development. Among the top contenders or resources, Flutter and Native development stand out and lead—but which one is the better or the ideal fit for your healthcare application?

Flutter: Fast, Flexible, and Cost-Effective

Flutter, a framework developed and managed by Google, allows the developers to build applications for both Android and iOS from a single codebase and source code. For healthcare startups and organizations looking to launch apps quickly and on a limited budget or a tight budget, Flutter is an attractive option or the best alternative to go for.

Faster Development Time: One codebase means quicker deployment and setup

Cost Efficiency: Ideal for MVPs or when targeting both platforms and mediums.

UI Consistency: Flutter offers beautiful, consistent interfaces across all devices.

However, Flutter might or may face some of limitations in handling highly complex background processes or native integrations essential for advanced healthcare functionalities and resources like Bluetooth-based wearables or real-time data syncing into the system.

Native: Performance and Customization at Its Best

Native apps are built and crafted specifically for one platform as a single, held use—either Android or iOS—using platform-specific programming languages. In Healthcare App Development, native apps often provide superior performance, security, and seamless integration with device hardware and present components.

High Performance: Better suited and ideal for apps that require real-time tracking or image processing.

Robust Security: Native development allows and provides more control over data protection—vital for HIPAA compliance.

Advanced Features: Easier integration and alignment with native APIs and medical devices.

But the trade-off is higher development time and a similar cost, especially if building or crafting an app for both platforms separately.

Which One Should You Choose?

If you're developing a healthcare app that requires multiple features with complex offerings as advanced security or hardware integration, Native App Development is the safer bet or the ideal option to consider. However, if you're looking or opting to build a cost-effective solution or an app for both platforms with a faster time-to-market, Flutter offers significant advantages and benefits.