Pains

Rails callbacks (particularly after_save and after_commit) are prone to creating hard-to-diagnose bugs in large applications, especially those with technical debt. Developers must actively avoid these patterns or extract business logic into pure Ruby classes.

Debugging in PHP is significantly slower than other languages because PHP is interpreted rather than compiled, requiring re-interpretation of code with each change. This ranks as the 2nd biggest challenge (30%) for teams.

When Row-Level Security is enabled in production, query execution plans degrade dramatically. Fast SELECT queries become slow with unexpected multi-table joins, and indexes become ineffective, turning a simple database operation into a performance nightmare.

Svelte's reactive blocks have a limitation where they only run once per tick. If a dependency changes after a block has already run in that tick, the block won't run again, which breaks expected behavior and creates unintuitive side effects for use cases like transitions.

When service contracts change, teams face impossible choices: breaking existing clients or maintaining multiple service versions indefinitely. Organizations often support 3-4 versions simultaneously, dramatically increasing operational complexity and maintenance burden.

In corporate production environments, database requests traverse multiple network hops through firewalls and antivirus software, causing severe latency issues. Developers lack control over database configuration and cannot install extensions like PGVector, PG Cron, or PG Crypto, and often don't know which region their database is deployed in.

Teams implement service meshes, custom CNI plugins, or multi-cluster communication before mastering Kubernetes' native networking primitives (Pod-to-Pod communication, ClusterIP Services, DNS, ingress). This introduces additional abstractions and failure points making troubleshooting extremely difficult.

Electron updates frequently, introducing breaking changes that disrupt existing functionality. Many apps bundle multiple Electron versions or fall behind on updates, forcing developers to juggle compatibility issues and regularly refactor code to maintain stability.

Asynchronous code in JavaScript can execute in unpredictable orders, leading to race conditions where multiple concurrent tasks compete for shared resources, making it difficult to identify and fix timing-dependent bugs.

Traditional HTTP caching mechanisms struggle with GraphQL because each unique query variation is treated as a distinct request. Parameterized queries (e.g., different $userId values) create cache misses. Additionally, query permutations can be exploited to spam server memory with cache entries.

Implementing schema federation or stitching across multiple services is complex, slow, and difficult to secure. Federation introduces fragility and inter-domain dependencies that are hard to manage and debug at scale.

Building Electron apps for true cross-platform support means accepting compromises on native look-and-feel for all platforms. Native development requires 3x the effort (separate UI development for macOS, Windows, Linux), making Electron the only pragmatic choice for solo developers or small teams despite its limitations.

45% of developers have been negatively impacted by a colleague's force push, which rewrites history and causes work to be lost or conflicts to become nearly impossible to resolve. This reflects inadequate team coordination and access controls.

Electron apps don't integrate well with operating systems because they're essentially web browsers displaying local content. When Electron doesn't support specific OS features, apps using it also won't—for example, Discord lacks screen sharing on Wayland and doesn't support file portals on Flatpak.

Electron apps bundle most of Chromium's codebase, making even basic Hello World applications ~100MB and real-world apps like Discord over 700MB. This excessive resource usage creates performance problems on systems with limited RAM.

Node modules loaded at startup remain in memory and cannot be easily unloaded, causing cumulative memory bloat. Libraries loaded once are permanently resident, forcing developers to implement complex hacks to remove them from memory.

Outdated packages and CVEs in Docker images are not automatically detected. Requires manual scanning and image updates, with no built-in vulnerability management.

Development teams face tightened budgets and blanket hiring freezes while being tasked with maintaining increasingly complex applications. Java hiring plans dropped from 60% in 2024 to 51% in 2025, and tool budgets fell from 42% to 34%.

Create React App presents a false choice: either stick 100% with the preset or completely eject and lose all updates. It lacks support for server-side rendering and static site generation, creating significant limitations for production applications. The eject mechanism is inflexible and unforgiving.

Hot module replacement response times degrade significantly as applications grow larger, with even hot updates taking several seconds and disrupting the development flow. This occurs despite Vite's design to maintain near-instant response regardless of app size.

PostgreSQL query execution plans can become unstable, causing previously performing queries to suddenly degrade. Developers must use advanced tools like Query Plan Management (QPM) and pg_hint_plan to ensure consistent query performance.

Every request in AI-backed web applications incurs significant cloud infrastructure costs. Malicious bots can rapidly escalate bills by making numerous requests, and the per-request pricing model makes it difficult to predict and control costs.

Applications without proper error management in API integration face a 40% higher chance of crashing. Comprehensive error handling with do-catch statements and logging mechanisms are required but often overlooked.

Large transformer models like GPT-4 require significant computational resources and memory, presenting a limiting factor for smaller organizations and developers without access to high-performance hardware.