Mobile App Development Frameworks

Did you know about "𝐄𝐧𝐜𝐫𝐲𝐩𝐭𝐞𝐝 𝐒𝐡𝐚𝐫𝐞𝐝 𝐏𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬"? As I am learning about 𝐀𝐮𝐭𝐡𝐞𝐧𝐭𝐢𝐚𝐜𝐭𝐢𝐨𝐧 and 𝐀𝐮𝐭𝐡𝐨𝐫𝐢𝐬𝐚𝐭𝐢𝐨𝐧 in Android, I came across a very interesting thing I want to share with you all. 𝑬𝒏𝒄𝒓𝒚𝒑𝒕𝒆𝒅𝑺𝒉𝒂𝒓𝒆𝒅𝑷𝒓𝒆𝒇𝒆𝒓𝒆𝒏𝒄𝒆𝒔 𝑖𝑠 𝑎 𝑝𝑜𝑤𝑒𝑟𝑓𝑢𝑙 𝑡𝑜𝑜𝑙 𝑡ℎ𝑎𝑡 𝑒𝑛ℎ𝑎𝑛𝑐𝑒𝑠 𝑡ℎ𝑒 𝑠𝑒𝑐𝑢𝑟𝑖𝑡𝑦 𝑜𝑓 𝑦𝑜𝑢𝑟 𝐴𝑛𝑑𝑟𝑜𝑖𝑑 𝑎𝑝𝑝'𝑠 𝑠ℎ𝑎𝑟𝑒𝑑 𝑝𝑟𝑒𝑓𝑒𝑟𝑒𝑛𝑐𝑒𝑠. 𝑈𝑛𝑙𝑖𝑘𝑒 𝑟𝑒𝑔𝑢𝑙𝑎𝑟 𝑠ℎ𝑎𝑟𝑒𝑑 𝑝𝑟𝑒𝑓𝑒𝑟𝑒𝑛𝑐𝑒𝑠, 𝑤ℎ𝑖𝑐ℎ 𝑠𝑡𝑜𝑟𝑒 𝑑𝑎𝑡𝑎 𝑖𝑛 𝑝𝑙𝑎𝑖𝑛 𝑡𝑒𝑥𝑡, 𝐸𝑛𝑐𝑟𝑦𝑝𝑡𝑒𝑑𝑆ℎ𝑎𝑟𝑒𝑑𝑃𝑟𝑒𝑓𝑒𝑟𝑒𝑛𝑐𝑒𝑠 𝑎𝑢𝑡𝑜𝑚𝑎𝑡𝑖𝑐𝑎𝑙𝑙𝑦 𝑒𝑛𝑐𝑟𝑦𝑝𝑡𝑠 𝑎𝑛𝑑 𝑑𝑒𝑐𝑟𝑦𝑝𝑡𝑠 𝑑𝑎𝑡𝑎, 𝑝𝑟𝑜𝑡𝑒𝑐𝑡𝑖𝑛𝑔 𝑖𝑡 𝑓𝑟𝑜𝑚 𝑢𝑛𝑎𝑢𝑡ℎ𝑜𝑟𝑖𝑧𝑒𝑑 𝑎𝑐𝑐𝑒𝑠𝑠. 𝐊𝐞𝐲 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 𝐟𝐫𝐨𝐦 𝐫𝐞𝐠𝐮𝐥𝐚𝐫 𝐬𝐡𝐚𝐫𝐞𝐝 𝐩𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬: 𝑬𝒏𝒄𝒓𝒚𝒑𝒕𝒊𝒐𝒏: EncryptedSharedPreferences uses a strong encryption algorithm to protect data. 𝑲𝒆𝒚 𝒔𝒕𝒐𝒓𝒂𝒈𝒆: The encryption key is securely stored in the Android KeyStore, making it difficult to extract. 𝑻𝒓𝒂𝒏𝒔𝒑𝒂𝒓𝒆𝒏𝒄𝒚: EncryptedSharedPreferences seamlessly integrates with your existing code, offering a transparent user experience. 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬: 𝑬𝒏𝒉𝒂𝒏𝒄𝒆𝒅 𝒔𝒆𝒄𝒖𝒓𝒊𝒕𝒚: Protects sensitive data from unauthorized access and data breaches. 𝑬𝒂𝒔𝒚 𝒕𝒐 𝒊𝒎𝒑𝒍𝒆𝒎𝒆𝒏𝒕: Integrates seamlessly with your existing shared preferences code. 𝑻𝒓𝒂𝒏𝒔𝒑𝒂𝒓𝒆𝒏𝒕 𝒕𝒐 𝒖𝒔𝒆𝒓𝒔: Doesn't require any additional user interaction. Compliance: Helps meet data privacy regulations like GDPR and CCPA. 𝐃𝐢𝐬𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬: - 𝑷𝒆𝒓𝒇𝒐𝒓𝒎𝒂𝒏𝒄𝒆 𝒐𝒗𝒆𝒓𝒉𝒆𝒂𝒅: Can slightly impact app performance, especially for frequent read/write operations. - 𝑪𝒐𝒎𝒑𝒍𝒆𝒙𝒊𝒕𝒚: Requires careful implementation to avoid security vulnerabilities. - 𝑪𝒐𝒎𝒑𝒂𝒕𝒊𝒃𝒊𝒍𝒊𝒕𝒚: May not be compatible with older Android versions or custom ROMs. 𝐖𝐡𝐞𝐧 𝐭𝐨 𝐮𝐬𝐞 𝐄𝐧𝐜𝐫𝐲𝐩𝐭𝐞𝐝𝐒𝐡𝐚𝐫𝐞𝐝𝐏𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 ? - 𝑺𝒕𝒐𝒓𝒊𝒏𝒈 𝒔𝒆𝒏𝒔𝒊𝒕𝒊𝒗𝒆 𝒅𝒂𝒕𝒂: Use it to protect user credentials (e.g., passwords, tokens), payment information, or other sensitive data. - 𝑷𝒓𝒐𝒕𝒆𝒄𝒕𝒊𝒏𝒈 𝒂𝒑𝒑 𝒔𝒆𝒕𝒕𝒊𝒏𝒈𝒔: Secure app settings that might affect user privacy or security. - 𝑪𝒐𝒎𝒑𝒍𝒊𝒂𝒏𝒄𝒆 𝒓𝒆𝒒𝒖𝒊𝒓𝒆𝒎𝒆𝒏𝒕𝒔: If your app needs to comply with data privacy regulations (e.g., GDPR, CCPA), EncryptedSharedPreferences can help you meet these standards. By leveraging 𝐄𝐧𝐜𝐫𝐲𝐩𝐭𝐞𝐝𝐒𝐡𝐚𝐫𝐞𝐝𝐏𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬, you can significantly improve your app's security and protect your users' privacy. #AndroidDevelopment #Security #Privacy #EncryptedSharedPreferences #AppSecurity For more posts like these, follow Shubham Singh

✨ Why I Decided to Change my Could Database to Firebase Firestore? ✨ 3 years ago, during my first steps into the #mobile development world, I faced one of the many challenges when it comes to choose #tech tools: ⚡️Which database should I use to store my #data #apps? By the time #firebase started to grew pretty famous among #mobileapps, and the reatilme database seemed to be the right choice at that time. Considering the following points: ✅It was a reliable #could storage, considering Google little after adpoted as the recommended choice for mobile #developers; ✅It has realtime sync between the app and the cloud storage; ✅Data Structure based on #json node trees, which gave me more flexibility to saving and organizing data compared to relational #databases like #mysql ans correlates; ✅It has a good storage free limit, which gave me enough time to test around and sees if it would worth to implement in my work #toolkit. However as the time passes, firebase team came up with a new child called #firestore. At first look, it seemed to offer basically the same benefits than realtime database. Until the day I decided to dig a little deeper on my research about the new tool. Then I discovered the following benefits that made me change my first choice of cloud database: ⚡️Better Data Structure ✅Firestore had a document-based data structure, which allows me to query data in a more intuitive way; ✅Complex relationships between data are easier to manage, leading to cleaner code and faster development. ⚡️Advanced Querying ✅Firestore’s rich querying features let me filter, sort, and paginate data directly on the server. This eliminates the need for complex client-side filtering and significantly improves app #performance. ⚡️Scalability ✅As my applications grew, I noticed Realtime Database struggled with performance when handling large datasets. Firestore, with its ability to scale automatically, handles large-scale apps effortlessly. For now #firestore it’s my first could database choice when it comes to app’s storage. Of course depending on the scenario and the needs of the project, it can change. Always keep in mind that the tools may help to to solve a #business problem. Depending on the scenario the toolkit to better solve these problemsmay change. Keep a open mind to test around to see what better fit for each occasion. ⚡️Everyday is a lesson. #ios #android #software #contentcreator #softwareengineer #androiddeveloper

With new mobile devices constantly entering the market, ensuring compatibility is more challenging than ever. Compatibility issues can lead to poor user experiences, frustrating users with crashes and functionality problems. Staying ahead with comprehensive testing across a wide range of devices is crucial for maintaining user satisfaction and app reliability. I would like to share the strategy that I have used for comparability testing of mobile applications. 1️⃣ Early Sprint Testing: Emulators During the early stages of development within a sprint, leverage emulators. They are cost-effective and allow for rapid testing, ensuring you catch critical bugs early. 2️⃣ Stabilization Phase: Physical Devices As your application begins to stabilize, transition to testing on physical devices. This shift helps identify real-world issues related to device-specific behaviors, network conditions, and more. 3️⃣ Hardening/Release Sprint: Cloud-Based Devices In the final stages, particularly during the hardening or release sprint, use cloud-based device farms. This approach ensures your app is tested across a wide array of devices and configurations, catching any last-minute issues that could impact user experience. Adopting this 3 tiered approach ensures a comprehensive testing coverage, leading to a more reliable and user-friendly application. What is the strategy that you are adopting for testing your mobile apps. Please share your views as comments. #MobileTesting #SoftwareTesting #QualityAssurance #Testmetry

🚀 From Frustration to Flow: Streamlining Android App Delivery 📱 As an Android developer, I used to spend a lot of time manually creating APKs and sending them to clients after every feature update. Each change meant: ✅ Build → 🔄 Rename → 📤 Upload → 📩 Share manually. And the cycle repeated... This was slowing down feedback loops and wasting valuable time I could spend actually building. 💡 Then I discovered Firebase App Distribution. Now, every time I finish a feature: The app build gets uploaded directly to Firebase The client receives a link via email They install it in seconds — no more APK juggling It’s faster, cleaner, and makes my process feel way more professional. 🔧 For devs still stuck in the manual APK loop — look into Firebase App Distribution. It’s a game changer. Let’s build smart, not slow. ⚡ #AndroidDev #Firebase #Productivity #MobileDevelopment #DevTips #AndroidStudio

🔐 Comprehensive Pentesting Tools for Cybersecurity Professionals As cybersecurity professionals, we rely heavily on various tools to perform security testing, assess vulnerabilities, and ensure systems are fortified against potential threats. Below is a well-organized toolkit to help you navigate different areas of pentesting. 🚀 🛠 1. Web Application Pentesting Web apps are frequent targets for attacks. These tools help identify vulnerabilities such as XSS, SQL injection, and more: 🔹 Burp Suite Pro 🔹 OWASP ZAP 🔹 Nikto 🔹 Acunetix 🔹 SQLMap 🔹 Amass 🔹 Fortify-WebInspect 📱 2. Mobile Application Pentesting As mobile apps grow in popularity, securing them becomes critical. These tools help assess both Android and iOS applications: Android: 🔹 MobSF, Frida, APKTool, JADX, Drozer, Magisk Root, APXK AndroidStudio/Genymotion, mitmproxy, Objection, adb iOS: 🔹 MobSF, Frida, Burp Suite Mobile Assistant, Needle 2, iMazing 🔐 3. API Pentesting APIs are essential for web and mobile applications but also present security risks. These tools help you ensure API security: 🔹 Postman, Insomnia ,Burp Suite Pro, OWASP Amass, 42Crunch API Security, Swagger Inspector, Kite Runner 🔍 4. Secure Code Review Code reviews are crucial for identifying vulnerabilities before deployment. These tools assist in static analysis: 🔹 SonarQube, Snyk, Semgrep ,Checkmarx, Veracode, FortifyWorkbenchAudit , CodeQL, Bandit, FindSecBugs 🖥 5. Thick Client Pentesting For applications with thick (desktop) clients, the following tools help analyze them for security flaws: 🔹 Fiddler, Burp Suite Pro dnSpy, IDA Pro, Ghidra ,Process Explorer, CFF Explorer 🌐 6. Network Pentesting Identifying vulnerabilities in network infrastructure is a key step in securing systems: 🔹 Nmap, Wireshark, Metasploit Framework ,Nessus, OpenVAS, Responder BloodHound, CrackMapExec, Netcat, Bettercap ☁️ 7. Cloud Security As cloud infrastructure becomes more widespread, securing it is a top priority: 🔹 Prowler, ScoutSuite, CloudSploit ,Pacu, Steampipe, CloudMapper 🐳 8. Container Security With the increasing adoption of containers, tools like the following help assess their security: 🔹 Trivy, Aqua Microscanner, Clair ,Anchore, Docker Bench, Kube-bench, Falco 🧷 Harun Seker, CISSP #Cybersecurity #PenetrationTesting #PentestingTools #NetworkSecurity #CloudSecurity #MobileSecurity #API #DevSecOps

🔥The QA Testing Strategy Hierarchy First rule of QA Club? Test smarter, not harder. Here’s the smart QA flow, and why the order matters: 1. ✅ New Features First “Why not test old stuff first?” Because new features are the most unpredictable and untested part of the system. They’re usually: -Freshly written code (more likely to be buggy), -Unverified by any real-world use or existing test suites, -Most likely to break everything else if they weren’t integrated properly. If you skip this step, you risk: -Regression results failing for mysterious reasons (you’ll waste time debugging broken old stuff when it’s the new code that poisoned it), -Devs telling you, “Oh yeah, that part isn’t finished yet” - after you already tested the wrong things. Testing new features first = isolating risk while it’s still manageable. 2. 🐞 Fixed Bugs Second “Why not just test all the bugs at the end?” Because bug fixes are surgical, and surgery has complications. You need to check: -The bug is actually resolved (not just duct-taped), -The fix didn’t introduce side effects in neighboring logic. Why here, after features and before regression? -You want to test bug fixes in the context of the latest stable features. -Fixes often touch sensitive, high-traffic areas of the codebase - high-priority to validate early. -Waiting until after regression risks masking failures with "noise" from other systems. -You don’t want to debug a failed regression test, only to find out it was caused by a half-baked bug fix. 3. 🔁 Regression Third “Why not just run regression first and cover everything?” Because regression assumes you already know the current version of the app is sane-ish. If the new feature is broken, or a bug fix is incomplete, your regression suite will go off like fireworks on the 4th of July. Benefits of doing regression after features & fixes: -You reduce “false negatives” in test reports (failures that aren't actually regressions), -Your test run will reflect the true state of the release - not a Frankenstein build, -Saves time on debugging why things are failing. Regression is confirmation, not discovery. Do your discovery first. 4. 📉 Log Untested Areas Last “Why not just test everything?” (laughs in reality) Because: -There’s never enough time, -Resources are finite, -Some areas are just out of scope (devices, browsers, edge flows, etc.) By saving this for last, you: -Know exactly what you missed, not just hypothetically, -Can contextualize it: “We skipped X because Y was broken / not delivered / out of scope”, This also helps you push back when someone says, “QA missed it.” You can respond, “No, QA logged it and you chose to accept the risk. Here’s the report.” 💅 🎯 Final Takeaway Testing is triage, not perfection. Test smart. Ship clean. Sleep occasionally. #QualityAssurance #QA #TestingStrategy   #BugHunting #RegressionTesting #AutomatedTesting #QATips   #TestPlan #AgileTesting #ShipWithConfidence

Today Glide becomes a whole new beast with the beta release of ⚡ Workflows–eerily powerful automations, perfectly integrated with Glide, continuing in our tradition of elegant tools with understated power. All of our customers pair Glide with a third-party automation tool like Zapier or Make, which are great for connecting your app to a wide array of existing services, but awkward for data-intensive automations that our customers want to achieve for a few reasons: 1. Shared data and compute: previously, customers implemented the same logic in Glide & the automation tool, drastically increasing maintenance cost. Glide Workflows have direct access to the same tables and computations as your apps, so your interfaces and automations remain in lockstep. 2. Zapier and Make are optimized for processing single events, connecting tool A to tool B. Glide Workflows are designed for operations on tables and batch data; for example, it's easy to loop over all Orders, then all Items per Order, and then finally complete a summary step. Looping is absent, primitive, or convoluted in these other tools. 3. No-code computations as steps. Glide Workflows has access to Glide's set of powerful computational primitives, making it simple to run AI, call APIs, manipulate numbers and text, without using any formulas or code. Chain these computations with actions to build simple but powerful workflows. 4. One subscription. Businesses want to consolidate their vendors. Agencies want simpler billing for clients. No-code solutions are often cobbled together with many tools, but we want building in Glide to be simpler than that. Business customers get access to scheduled triggers today, and webhook, email, and integration triggers are coming soon. Looking forward to your feedback!

🏠 Mastering Room Database in Android with Kotlin + Jetpack Compose Ever wondered how to store and retrieve data locally in Android apps without writing raw SQL? That’s where Room Database shines! Room is a Jetpack library that acts as a wrapper around SQLite, giving you a clean, Kotlin-friendly way to handle persistence. It lets you work with Kotlin classes, coroutines, and Flow instead of complex SQL syntax. 🧱 Why Choose Room? ✔️ Type-safe & compile-time checked queries ✔️ Built-in support for Coroutines, Flows, and LiveData ✔️ Smooth integration with Jetpack Compose & ViewModel ✔️ Automatic database migrations ✔️ Less boilerplate, more productivity 🔑 Room’s Building Blocks: 1️⃣ Entity → Your data table (just a Kotlin data class) 2️⃣ DAO → Interface to perform database operations 3️⃣ Database class → Main entry point with @Database annotation 4️⃣ TypeConverters → Helps handle complex types like List, Date, etc. 💡 Best part? Room plays nicely with Compose state and ViewModel, so your UI updates automatically when data changes — no manual refresh needed! Room is Kotlin-first, Compose-ready, and perfect for modern Android architecture. #androiddevelopment #jetpackcompose #roomdatabase #kotlin #coroutines #cleanarchitecture #mobiledevelopment

The 30-minute workflow optimization exercise that smart embedded developers do weekly: Containerize environments + streamline builds. They don't troubleshoot mismatched toolchains, waste time on manual setups, or rely on outdated workflows. They standardize environments, simplify collaboration, and integrate with CI/CD pipelines. My weekly (and sometimes daily) 30-minute routine: • Review container configurations • Test build reproducibility across platforms • Update CI/CD pipelines for consistency Simple. You'll build a development workflow that scales for years. And Remember: It's about reproducibility. Not just speed. How will you invest your next 30 minutes to improve your development workflow?