Sources

However, as applications grow in complexity, “**write once, run anywhere**” can quickly turn into “**write once, debug everywhere**” if not handled correctly. This blog explores the critical challenges of Flutter development in 2026 and the **best practices** to overcome them. ## Key Technical Challenges ### 1. State Explosion and Rebuild Overhead **Improper state handling can cause:** - Excessive widget rebuilds - Increased frame render time - UI jank (missed 16ms frame budget) **Best Practices:** - Separate UI state from business logic - Keep widgets immutable - Use granular state providers **Recommended Patterns:** - Riverpod with StateNotifier - Bloc with event-driven state transitions - MVVM with ChangeNotifier (small apps) ### 2. Memory Leaks and Lifecycle Issues **Memory issues commonly arise from:** - Unclosed streams - Long-lived controllers - Improper widget disposal **Best Practices:** - Dispose controllers in dispose() - Use autoDispose with Riverpod - Avoid global singletons unless necessary … ### 3. Binary Size and Tree Shaking Limitations **Flutter embeds**: - - Dart runtime - Skia rendering engine - Platform-specific bindings Even with tree shaking, debug and release binaries remain larger than native counterparts. **Mitigation Techniques:** - Use deferred/lazy loading for non-critical features - Avoid reflection-heavy libraries - Enable ProGuard/R8 for Android - Remove unused fonts and asset variants … ### 4. Platform Channels and Native Interop Flutter relies on **MethodChannel, EventChannel**, and **BasicMessageChannel** for native communication. **Common Pitfalls:** - Blocking the UI thread - Overusing platform channels - Poor error handling between layers **Best Practices:** - Offload heavy tasks to native background threads - Batch messages where possible - Create abstraction layers for native services … ### 5. Platform-Specific UI and Behavior Differences Flutter provides platform-agnostic widgets, but UX expectations differ between iOS and Android. **Solutions:** - Use Cupertino widgets selectively - Detect platform at runtime - Avoid forcing identical UI where native UX differs … ### 6. Dependency and Plugin Stability Flutter plugins often wrap native SDKs and may: - Lag behind OS updates - Break on major Flutter upgrades **Best Practices:** - Prefer first-party or community-verified plugins - Pin versions in pubspec.yaml - Audit plugin native code when possible ### 7. Asynchronous Programming and Isolate Misuse Flutter is single-threaded by default, and improper async handling can freeze UI. **Key Rules:** - Never run CPU-intensive tasks on the main isolate - Use compute() or custom isolates for heavy processing - Avoid deep async chains in UI widgets final result = await compute(parseLargeJson, data); … ### A. Optimize the Build Pipeline Understanding the Widget → Element → RenderObject lifecycle is no longer optional. - Use const Everywhere: It tells Flutter to cache the widget, preventing unnecessary rebuilds. - Break Down Large Widgets: Never put your entire UI in one massive build() method. Smaller widgets allow Flutter to rebuild only what is necessary. - SizedBox over Container: If you only need whitespace, SizedBox is lighter and faster than Container.

**Challenge:** In ** Flutter-based development**, it can be challenging to access platform-specific features (like cameras, GPS, or sensors) and provide a consistent user experience. **Solution:** For device-specific features, use the platform channels in the ** Flutter SDK** to easily interface with native code. Use Platform to implement conditional UI rendering.Platform or iOS.Android can customize experiences based on user needs. … **Challenge:** Although Flutter’s package ecosystem is expanding, it might not always provide specialized or sophisticated libraries needed for Flutter app development in advance. **Solution:** Examine all of the packages on pub.dev in detail. Create unique implementations for specific requirements or add new packages to fill in ecosystem gaps. **Challenge: **Different design expectations, such as iOS’s bounce versus Android’s glow effects, make it difficult to create a consistent Flutter user interface across iOS, Android, and the web. … **Challenge: **Testing Flutter apps is complex due to platform-specific bugs, UI inconsistencies, and device variations. Flutter’s hot reload, while useful, sometimes requires a full restart to reflect certain changes, complicating debugging. **Solution: **Utilize Flutter’s comprehensive testing framework, unit, widget, and integration tests. Combine real device and emulator testing to catch platform-specific issues. Leverage Flutter DevTools, Android Studio, and Xcode debugging tools for efficient bug identification and resolution.

#### The Overhead of Maintaining Flutter Mobile & Elixir Backend The developer wasn't just building an app; they were maintaining two distinct, complex ecosystems. The cognitive load of switching between Dart for the UI and Elixir for the server, along with managing infrastructure, quickly became unsustainable for one person. This became a common story of full-stack fatigue. … ### The Unmet Expectations of Flutter Web Flutter's ambition to be a true "UI toolkit for any screen" stumbled most significantly on the web. The initial promise of compiling the same mobile app for the browser ran into fundamental technical and philosophical hurdles. #### Performance and UI Discrepancies in Production In production, Flutter web apps were often plagued by large initial load times and a non-native feel. The canvas-based rendering approach, while powerful, struggled with SEO, text selection, and the accessibility features users expected from a standard web page. These weren't just minor bugs; they were core experience flaws. … ### The Debugging Nightmare: When Cross-Platform Hits Native Walls The most painful regrets often surfaced during debugging. The abstraction layer that made development feel fast initially became an opaque wall when things went wrong on a specific device or OS version. … #### The Struggle to Debug Beyond the Framework Abstraction Solving these issues required deep native knowledge of both iOS and Android. At that point, the primary benefit of using a cross-platform framework was lost. You had to become a native expert just to fix the problems your "simpler" stack created. … #### Flutter's "Purgatory" Status in the Ecosystem By 2026, Flutter occupied a strange middle ground. It wasn't the top choice for native performance, and it wasn't the top choice for web or PWAs. This "purgatory" status made it a master of none, reserved for specific use cases rather than being the default choice developers had hoped it would become.

The tension between maturation and disruption defined Flutter's 2025. The Impeller transition locked in. iOS lost its Skia opt-out entirely, and Android API 29+ gained Impeller as default, eliminating the notorious shader compilation jank that plagued complex animations for years on those platforms. Skia remains on the web; on Android, API 29+ retains a deprecated manual opt-out to Skia, while devices below API 29 still default to Skia. … They cited unsolved performance issues and high compile-time costs, concluding they were "simply too far from solving the problems in a reasonable timeframe." The Very Good Ventures team called it "the right decision", praising the transparency despite disappointment. The Dart engineers reassured developers that they remain interested in metaprogramming long-term, but macros will not ship in the foreseeable future. … ... The project's stated grievances carried into 2025: an estimated 50 team members serving 1,000,000+ developers (a 1:20,000 ratio), slow PR review times, desktop platforms remaining "mostly stagnant," and serious bugs left unfixed. The community response split sharply. Critics called it "a complete waste of time" while supporters validated frustrations, particularly developers with enterprise experience dealing with slow issue resolution. Google responded by noting developers have forked Flutter "thousands of times" as normal open source practice. In 2025, the fork served less as a competitor and more as a pressure valve. It highlighted areas where official triage was too slow, often prompting the upstream team to address long-standing issues.

This year, Flutter introduced several new widgets that streamline UI development. ... Another notable advancement is the improved integration of Dart 3.0, which offers features like sound null safety and better type inference. ... … On the flip side, some startups faced hurdles when integrating complex native components. This often required workarounds or custom plugins, which can slow down development timelines for a freelance flutter mobile app developer. Another notable example is BMW’s use of Flutter in their digital key application. They effectively streamlined features while ensuring seamless functionality on iOS and Android devices. However, adapting existing codebases posed significant challenges. … For freelance flutter mobile app developers, mastering widgets is essential. ... While Flutter has made significant strides, it’s not without its limitations. One of the most commonly cited issues is the size of applications. Flutter apps tend to be bulkier than their native counterparts, which can deter users with limited storage. Another challenge lies in platform-specific features. Some developers find it tricky to access certain native functionalities seamlessly. This can lead to slower development times as workarounds are sought. Performance inconsistencies on older devices also raise red flags for some freelance flutter mobile app developers. Although optimized for modern hardware, users on legacy systems may experience lag or crashes. … Some projects benefit from its rapid development capabilities and beautiful UI components. However, complex applications with intense computational tasks may still face challenges. The platform excels at delivering smooth animations and quick iterations, making it ideal for startups and MVPs. Yet, when dealing with heavy backend processes or intricate integrations, developers might feel constrained. Community feedback highlights that while Flutter shines in many areas, certain niches like gaming or extensive AR functionalities might require alternative frameworks to meet high performance demands.

**Pain points with Prisma**: - The `prisma generate` step adds friction during development. In my experience, the most common support question from MakerKit customers is "why are my types wrong?" - almost always because they edited the schema and forgot to regenerate. Your IDE shows errors until you remember to run the command. - Binary targets for different platforms can cause deployment issues (less so with v7) - Large schemas can slow down type checking (improved in v7) **Pain points with Drizzle**: ... … 1. **Using `db push` in production** — Both ORMs have push commands for rapid prototyping. These skip migration files and can cause data loss. Always use `migrate` commands in production. 2. **Missing indexes on foreign keys** — Neither Prisma nor Drizzle auto-create indexes on foreign keys. Add them explicitly for any column used in JOINs or WHERE clauses, or queries will slow down as data grows. … 5. **Forgetting `prisma generate` after schema changes** — The most common Prisma support issue. Your IDE shows type errors until you regenerate. Consider adding it to your git hooks. 6. **Mixing Prisma `$transaction` with raw SQL** — Transaction boundaries behave unexpectedly when combining Prisma client calls with `$queryRaw`. Stick to one approach per transaction. … Drizzle has significantly smaller bundle size, which means faster serverless cold starts. ... What are the disadvantages of Prisma? Prisma's main drawbacks include: the required 'prisma generate' step after schema changes, less SQL control for complex queries, and historically tricky edge runtime support (improved in v7).

## The problem: Working with databases is difficult The existing landscape of database access libraries ranges from sending raw SQL strings to higher-level abstractions like SQL query builders and ORMs. Each of these approaches come with their own problems and pitfalls. Overall, there's a lack of best practices for application developers who work with databases in Node.js and TypeScript. The jungle of existing tools and lack of best practices have two main consequences: - Developers aren't *productive* because the existing tools don't fit their needs - Developers aren't *confident* that they're doing the "right thing"

There’s no way to sugarcoat it: **databases are hard**. The traditional workflow for SQL databases in particular is quite complicated: define a schema, create tables, add fields, link tables together with foreign keys, apply your changes to your DB… Good luck if you need to change a field’s datatype, cause trying to apply your migrations without breaking everything is a headache. When it comes to querying data, you’ll need to write raw SQL which can get pretty ugly, especially with `JOIN` queries. This was the workflow I used for building Tank Battle, back in October 2021. And it sucked. It’s all very intimidating for beginners who just want to dip their toes in some backend programming. And it’s a slow process too — I’ve always had a hard time trying to get in the flow state whenever I’m doing SQL development.

Prisma is a pretty popular (1.5 million weekly downloads!) ORM for the Node ecosystem. I’ve used it at work in various small projects due to its purported popularity. After having had it in our ecosystem for over around months, I have some thoughts: 1. It uses a proprietary schema file format The `prisma/schema.prisma` format on its own is *fine*. … However, it is not easily open to extension or analysis by other ecosystem tooling that would be brought by JSON, YAML or TOML. Despite that, this blog knows how syntax highlight these code blocks, so I suppose that’s good enough. Either way, it irks me that it’s not in a generic format or in an actual programming language format (JS / TS). 2. Primsa requires a particular environment variable for database connections … However, this configuration isn’t in *your app code*. That means you can’t compose your credential string using what’s available in your app’s purview. In our cases, we’re using docker deploying to a kubernetes cluster that automatically injects various `DATABASE_` environment variables. Our setup doesn’t precompose `DATABASE_URL` with username and password inlined, so instead we need to use a custom `entrypoint.sh` that concatenates all these variables together so its suited for Prisma. 3. Thousands of issues … Having not kept any records from my previous encounters researching odd bugs and looking for generally useful features, I can’t say how many issues are noise or how many are pleas for features stuck in limbo. We all know what you say about open source though, of course, “PRs welcome.” Still, it’s never a good sign when your database connector, effectively the most foundational component of your application (after all, if you could not fetch or save data, would you even have an application?) is has so many issues tied to it. As an amusing example Ever use AsyncLocalStorage? Well, with Prisma that kind of just… breaks? There’s an alleged workaround but it could end up causing a memory leak. Surely, all of that is superfluous but it’s someone’s plan that’s just been ruined, superfluous or not. 4. Bonus! Bundling Prisma with a Next app in Standalone Mode (output settings) is tricky … Now, the actual query experience? It’s fine. For me the first 80% of an ORM is to handle simple `SELECT` `INSERT` `UPDATE` `DELETE` queries. Then everything else is probably object relational mapping. You can read all about the Object-relational impedance mismatch. There’s always going to be a weird situation where you need to write your own raw SQL (with a prepared statement, hopefully). I think it’s *good* to expose the object mapping utilities back to the user so they can rebuild the interface themselves, but most ORMs do not go out of their way for that.

Prisma makes it dangerously easy to write inefficient database queries. Because the abstraction layer is so smooth, developers often forget that a single line of JavaScript can trigger massive, resource-intensive SQL operations. I have seen production codebases where fetching a blog post title inadvertently loaded the entire database table into memory. This is highly inefficient. As developers, we need to think about the **resource cost** of our code. Bad performance doesn't just frustrate users, it inflates cloud bills and wastes infrastructure. This article breaks down the three most common Prisma performance mistakes I have encountered, and exactly how to fix them. ## Understanding the Cost ... Consider the seemingly harmless snippet: TypeScript ``` 1await db.user.findMany({ 2 include: { posts: true } 3}) ``` This snippet fetches **every user** and **every post** associated with them. That seems manageable if you have 10 users. But what if you have 100,000 users? And each has 10 posts? You are asking your database to return over a million rows of data. … ## Mistake 1: The "Select All" Trap (Over-fetching) The ``` include ``` keyword is one of the most commonly abused features in Prisma. By default, it acts like a ``` SELECT * ``` , fetching every column from the joined table. If you only need to display the titles of a user's posts, why fetch the … What exactly is happening here? First, we fetch all users (1 query). Then, the ``` for ``` loop runs. If there are 1,000 users, the code inside the loop runs 1,000 times. This results in **1,001 total requests** to your database. This will bring even a powerful server to a crawl. **The Solution:** Let Prisma handle the relation.

# Challenges Immediately after switching to Prisma, I realized my server was taking too long to respond. A single login request, which often took 700ms to complete, took over 10s. This delay is significant and could affect user performance. Requests made with Prisma were ten times slower than normal! I looked around to try and understand why this was happening or some errors that I could be making. Prisma documentation suggests indexing frequently queried columns such as username and email by adding @@index([username, email]). However, this does not solve the issue. Prisma is too slow, especially in queries that involve selecting data from more than one table. The database also has a cold start, which means that after the Prisma client disconnects, new requests will take time. PRISMA is also not designed to run on the edge, where vercel hosts their serveless functions. This implies that the servers are not up and running all the time in a serverless environment, thus the cold starts before Vercel spins the function and awakens the database. ## Here is what I have realized so far: - Prisma is not suited to run on the edge and thus the database sleeps when the Prisma client disconnects. Prisma takes time to connect again. - Every new insert via Prisma opened a database-level transaction (?). An extremely weird design choice by Prisma. This makes you exhaust your connection pool very fast. … - For every action (Create, Read, Update, and Delete) prisma returns the object by default even if you do not want it. Even for delete! - Prisma supports JSONB datatypes in Postgresql and MySQL. However, there is no way to update such data type. The existing way is to fetch the whole object, spread it, and then add or delete data, then post the same object again. This is utterly ridiculous.

This quarter is one of the most significant in recent Prisma history — we’re preparing for **Prisma 7**, a major release that modernizes the ORM’s foundations and paves the way for the next generation of features. Alongside this, we’re expanding database capabilities with **PostgreSQL extensions**, shipping long-awaited polish by graduating preview features, and addressing one of the most common pain points for the community: **unstable generator APIs**. Our top five goals: ... Community-built generators have become a cornerstone of the Prisma ecosystem — but until now, they’ve relied on **internal, unstable APIs**, making them prone to breaking when Prisma versions change. This quarter, we’re introducing a **stable, versioned API for generators**. ... - prisma generate --sql does not read env vars in AWS #25512 - Root `.env` variables aren't available to prisma in monorepo #12535 - Switch `.env` file based on `NODE_ENV` #3865 - importing prisma client pollutes `process.env` without using dotenv #19519 - Possibly reading `.env` file and schema twice #19117 ... - `@prisma/client` magically loading `.env` file (and mutating `process.env` in the process) #15620 - Change the default filename for loading environment variables to `.env.local` #15681 - prisma-client: package developers cannot import runtime objects #27707 - [6.7.0] Get a list of model fields without `Prisma.dmmf` #27028 - Cannot bundle new prisma-client with esbuild in cjs #28229 - Prisma ESM import breaks with import-in-the-middle (ERR_INVALID_RETURN_PROPERTY_VALUE) #28198 - mjs imports fail when using engineType = "client" #28130 - Getting Dynamic require of "node:path" is not supported for esbuild + Prisma 6.16.2 + prisma-client generator + engineType = "client" #28126 - Make `prisma-client` compatible with JavaScript without tsc #28116 - Possible WASM loading incompatibility with Vite #28105 - Generated prisma code after compiling with tsc gives errors #28104 - ./node_modules/@prisma/adapter-pg/dist/index.mjs [Client Component Browser] on the prisma without rust engine #28096 - The basic installation from the documentation (for Nuxt) does not run -- @prisma/client is **never** correctly loaded #26991 - PrismaClient is using index-browser.js during Node tests with Vitest + SWC + custom output directory #27627 - [prisma-client generator]: Split types and ModelName into their own files to support client/browser code #27341 … ## Activity wmaddenpinned this issue on Oct 11, 2025