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Today, I’ll be covering the most common usability issues that arise when developers start working with a new API. ... Customer-facing APIs are products. And just like any product, if we don’t do good discovery, we’ll have gaps in our offering. In this article, we’ll look at the following gaps that tend to arise with API products: - Inaccurate, incomplete, or insufficient documentation - Insufficient endpoint coverage or confusing endpoint design - Limited access to resources - Confusing error codes - Inadequate or confusing authentication options - Sloppy implementation of REST principles Before we dive into the details for each of these, I want to remind you why this matters. ... By far the most common challenge engineers face when working with a new API is inaccurate, incomplete, or insufficient documentation. Remember, an API defines a pre-defined language for how code can interact with another service. If that language is not well documented, then engineers won’t know how to construct requests or interpret responses. … Sadly, the former is far more common. Even when developers set out to define clear error codes, the curse of knowledge often comes into play. ... Before you can use an API, you have to figure out how to get credentials to access the API. This can often be one of the trickiest steps when getting started with a new API. We learned last week that there are predominantly two different conceptual models when authenticating with an API. ... OAuth is often used to access data on behalf of an end-user, but there are multiple versions of OAuth, there are inconsistencies in how it is implemented, and getting the user interface right for the end-user can be tricky. Oftentimes the confusion that arises with authentication comes from a gap between how the API team thinks about the use cases for the API and how the customer thinks about the use cases for the API. When there’s a mismatch, the needed authentication mechanism might not be available. … ## Sloppy Implementations of REST Principles Finally, developers can struggle to adopt a new API because the API doesn’t act according to their expectations. As we saw last week, REST is a standard that sits on top of HTTP. That means there are expected norms that should be followed when you create a REST API. These norms apply to how we define our endpoints. An endpoint should grant access to a resource. They apply when we define our methods. A PUT should replace a resource. A PATCH should partially update a resource. There are norms for how requests and responses should be structured. But many APIs do a sloppy job of following these norms. Endpoints map to actions instead of resources. PUTs act like PATCHes. Responses have incorrect status codes or status descriptors, are missing necessary headers, or include empty bodies when it’s more appropriate to return a resource.

Encrypt sensitive data, both in transit and at rest. Use HTTPS for all web traffic. Encrypt passwords, credit card numbers, and anything else that could cause harm if it fell into the wrong hands. ... Don't try to invent your own encryption algorithm. You will fail.

2xx is all about success 3xx is all about redirection 4xx is all about client errors 5xx is all about service errors 200 - Generic everything is OK 201 - Created something OK 202 - Accepted but is being processed async 400 - Bad Request (Validation?) 401 - Unauthorized 403 - Current user is forbidden 404 - That URL is not a valid route 405 - Method Not Allowed 410 - Data has been deleted, deactivated, suspended, etc 500 - Something unexpected happened and it is the APIs fault 503 - API is not here right now, please try again later … S U P P L E M E N T H T T P C O D E S W H A T H A P P E N E D { "error": { "message": "(#210) Subject must be a page.", "type": "OAuthException", "code": 210, "url": “http://developers.facebook.com/errors#210“ } }

- **Avoid ** **`@import`** ** in CSS:** The `@import` rule in CSS creates additional HTTP requests and is render-blocking. Each imported file is fetched sequentially, which delays the overall CSS parsing. Instead of `@import`, use `<link rel="stylesheet">` tags in HTML (which can load in parallel) or better yet, combine CSS files at build time when possible., … - **Use HTTPS (TLS):** This is non-negotiable today. Apart from security, modern HTTPS is faster than HTTP in many cases. Every modern browser also **flags non-HTTPS sites as insecure** and may even limit their features. Moreover, Google uses HTTPS as a **ranking signal** for SEO. So, enable HTTPS and HTTP/2+ (most hosting platforms have this by default now). - **Minimize total HTTP requests:** In the past, combining files to reduce requests was crucial due to HTTP/1.x limitations. With HTTP/2+ this is less of an issue, since multiple files can load in parallel over one connection. However, each script or resource still has overhead, and numerous requests can add up on high-latency connections. Audit the number of resources your pages load. Remove any that aren’t necessary (fonts, icons, analytics, etc., that aren’t providing value). - **Use HTTP/2 or HTTP/3:** If your hosting still uses HTTP/1.1, it’s time to upgrade. HTTP/2 brought significant performance improvements, like multiplexing (many resources over one connection) and header compression, which reduce latency. Going a step further, HTTP/3 (QUIC) is now emerging as the next standard – it runs over UDP with encryption and offers even faster connection setup and better resilience to network issues. HTTP/3 can improve page load times, especially on mobile or poor networks, thanks to zero round-trip handshakes and eliminating head-of-line blocking. … - **Maintain a single protocol (no mixed content):** Ensure that all resources are requested via the same protocol as your page (which should be HTTPS). Mixing HTTPS and HTTP can lead to blocking of content or at best a performance hit (and security risk).

Technical pain points are the specific frustrations, obstacles, and challenges that users face when trying to accomplish technical tasks. These could range from integration headaches and API limitations to performance bottlenecks and documentation gaps. The key is finding pain points that are frequent, intense, and widespread enough to build a viable business around. ... **Frequency:**The problem occurs regularly, not just as a one-time occurrence **Intensity:**When it happens, it significantly impacts workflow or productivity **Economic impact:**The problem costs time, money, or opportunity **Lack of good solutions:**Existing workarounds are cumbersome or incomplete **Clear audience:**You can identify who experiences this problem For example, API rate limiting might seem like a technical nuisance, but for developers building integrations at scale, it’s a major blocker that can delay launches and require expensive architectural changes. That’s a pain point with real economic impact. ... … ## Common Categories of Technical Pain Points While every domain has unique challenges, technical pain points typically fall into these categories: ### Integration and Compatibility Issues Making different systems work together remains one of the most persistent technical challenges. API versioning problems, authentication complexities, data format mismatches, and webhook reliability issues plague developers constantly. These pain points are particularly valuable because they sit at the intersection of multiple systems, making them hard for any single vendor to solve comprehensively. ### Developer Experience and Tooling Gaps Poor documentation, unintuitive APIs, lack of testing frameworks, and inadequate debugging tools slow down development teams. These pain points might seem minor individually, but their cumulative impact on productivity is enormous. Tools that save developers time on repetitive tasks or make complex operations simpler can command premium pricing. ### Performance and Scalability Bottlenecks As applications grow, performance problems emerge. Database query optimization, caching strategies, load balancing, and resource management become critical. Pain points in this category are especially valuable because they intensify as companies scale—the bigger the customer, the more painful the problem becomes. ### Security and Compliance Challenges Implementing proper authentication, managing secrets, ensuring data privacy, and meeting compliance requirements (GDPR, SOC 2, HIPAA) are complex and high-stakes. Mistakes can be catastrophic, making these pain points both intense and urgent. Solutions in this space often have strong word-of-mouth growth because nobody wants to build security infrastructure from scratch. ## Prioritizing Which Pain Points to Address First Once you’ve identified multiple technical pain points, you need a framework for choosing which to tackle first. Consider these factors: ### Market Size and Accessibility How many people experience this pain point? Can you reach them through clear channels? A problem affecting thousands of enterprise DevOps teams might be more valuable than one affecting millions of hobbyist developers, depending on willingness to pay and sales complexity. ... Start with the minimum viable solution—what’s the smallest thing you could build that genuinely eliminates the pain? For example, if developers struggle with API authentication across multiple services, your MVP might focus on just the three most popular services with the simplest auth flow. Don’t try to support every authentication method on day one. Solve the core problem completely for a specific use case, then expand.

## Pain Point #1: Deployment Bottlenecks ### The Problem How long does it take your team to get code from commit to production? For most teams, it's days or weeks. Elite teams deploy in under a day. The bottleneck isn't usually the code—it's the deployment process itself. When deployments require specialized knowledge or manual steps, everything slows down. If the one person who knows how to deploy is on vacation, you're stuck. … ### Getting Started You don't need a huge budget to implement this. ... - Docker (used by 59% of professional developers) for consistent environments - Standardized deployment scripts checked into your repo Set up templates for your most common deployment types and build from there. … ## Pain Point #3: Environment Inconsistency ### The Problem "It works on my machine" might be the most frustrating phrase in software development. Environment inconsistencies waste countless hours on debugging issues that only appear in specific environments. When dev, test, and production environments don't match, you're essentially testing different systems. Problems appear out of nowhere during deployment, and fixing them becomes a painful guessing game. … ### Getting Started Start by: - Auditing your current toolchain to identify redundancies - Creating consistent interfaces for your most-used tools - Building wrapper scripts that standardize common commands - Setting up a simple internal portal or wiki that provides single-point access ## Pain Point #5: Security & Compliance Overhead ### The Problem Security is crucial but often becomes a productivity killer. Manual security reviews, compliance checks, and remediations consume valuable development time and delay deployments. When security is bolted on at the end rather than built in from the start, it creates friction and frustration. ### The Solution Platform engineering embraces "self-service with guardrails." ... Even small teams can implement: - Pre-commit hooks for basic security checks - Automated vulnerability scanning in CI pipelines - Compliance-as-code using tools like OPA - Security templates for new projects

#### 5. Scope Creep: The Silent Assassin It starts innocently enough. A small feature request here, a minor tweak there. But before you know it, the project scope has ballooned out of control, deadlines are looming, and developers are left feeling like they’re drowning in a sea of ever-changing requirements. **The Impact:** Scope creep leads to missed deadlines, compromised quality, and burnt-out developers. Clear communication, well-defined requirements, and a robust change management process are essential for keeping projects on track.

## 1. Unclear Requirements and Scope Creep **Problem:** Your developers start building what they think you want, only to discover halfway through that stakeholders had something completely different in mind. Requirements change mid-sprint, new “must-have” features appear out of nowhere, and what started as a simple user login becomes a full identity management system with OAuth API, two-factor authentication, and enterprise SSO. And as this Reddit user puts it, scope creep usually hits junior developers the hardest: (Source) **Early warning signs:** - Vague project descriptions like “make it intuitive for end-users” or “add some reporting features” without specific acceptance criteria - Requirements documents that are three months old, but the project started last week - Developers ask the same questions multiple times because nobody can give definitive answers - Mid-sprint meetings where someone casually mentions, “oh, and it also needs to integrate with our legacy system.” … - Force stakeholders to write user stories with clear acceptance criteria before your team writes any code - When stakeholders want to change something mid-sprint, make them put it in writing and acknowledge that it will push the timeline back - Give your developers a safe space to ask, “wait, what exactly are we building? without feeling embarrassed … ## 2. Legacy Code and Technical Debt **Problem:** Developers spend hours figuring out how old code works instead of building new features. A simple javascript bug fix becomes a week-long project because the original code has no comments, no tests, and connects to five other systems in ways nobody remembers. Some surveys show that teams waste 23% to 42% of their development time just dealing with technical debt. That’s almost half your engineering budget going to fix old problems. And when developers finally make changes, something completely unrelated breaks in production due to compatibility issues. **Early warning signs:** - Developers saying, “I’m afraid to touch that file,” or “nobody knows how that module works anymore.” - Simple feature requests get estimated as week-long projects because of all the legacy workarounds - Your team spends more time in debugging sessions than in planning sessions - New hires look terrified when they see the codebase and keep asking, “why is this so complicated?” - Your best developers volunteer for completely different projects just to avoid dealing with time-consuming legacy features … ## 7. Slow Code Review Process **Problem:** Code sits in review limbo for days or weeks while developers wait for feedback, and it creates major bottlenecks across your entire development process. When reviews finally happen, they’re either rushed rubber stamps that miss important issues or overly nitpicky discussions that drag on forever. Meanwhile, your team loses context on their own code and has to re-learn what they built by the time someone finally approves it. Meta researchers found that the longer a team’s slowest reviews take, the less satisfied developers are with their entire development process. **Early warning signs:** - Pull requests sit open for more than 2-3 days without any feedback or comments - Developers create huge PRs with hundreds of lines changed because they’re trying to avoid multiple review cycles - Your team mentions “waiting for review” as a blocker in every standup meeting - Reviewers leave nitpicky comments about formatting, but miss actual logic problems - Team velocity drops because finished features can’t be deployed due to review backlogs

|Challenge|Q1 2021|Q2 2021|Q3 2021|Q4 2021| |--|--|--|--|--| |Keeping up with changes to the web platform or web standards.|27%|26%|27%|22%| |Keeping up with a large number of new and existing tools or frameworks.|26%|26%|25%|21%| |Making a design or experience work the same across browsers.|26%|28%|24%|21%| |Testing across browsers.|23%|24%|20%|20%| |Understanding and implementing security measures.|23%|25%|20%|19%| … Another area of ambiguity is the definition of web standards. When asked about examples around keeping up with standards, many developers pointed out difficulties with keeping up with best practices instead. This is another area we need to clarify on the survey. Developers look for best practices when implementing specific use-cases and patterns. Blog posts and StackOverflow are mentioned as sources for best practices, but developers often wonder if the information they are reading is indeed the best practice and if it is up to date with the latest features and APIs. They would like a more official source to read those. Keeping up with features and APIs that enable new use-cases is a smaller problem. Developers struggle more with features, APIs, and changes to the platform that result in a change in best practices. Most developers agree that compatibility is one of the biggest challenges. Things are improving via efforts like Compat 2021 and Interop 2022, but it's clear that developers don't see it as a solved problem yet. Most developers use polyfills in one way or another. In many cases, however, usage is transparent to developers, since the polyfill can be automatically added by a tool like Babel or a framework. For those who are managing their polyfills themselves, figuring out if a polyfill is "good" can be a problem. Developers mentioned using the number of installs on NPM and the creator of the polyfill as signals. A couple of developers mentioned doing work to remove polyfills that became unnecessary due to dropping support for IE 11. Frameworks introduce fragmentation issues. We heard reports where developers were "stuck" into an older version of a framework, and limited on the features they could use because of that, but that migrating to a newer version of the same framework could be costly and hard to justify.

This is not necessarily an easy task, and many enterprises end up creating problems for internal developers and outsiders who hope to leverage these services. ... A good starting point for determining how many problems the enterprise’s API is creating is to Google your company name with “API sucks,” said John Musser, CEO of API Science, an API analysis service provider. The results can characterize the magnitude and the specific nature of challenges developers are running into. Another warning sign is when a developer asks for a copy of your data, rather than using the API to access it. Poor developer communication equals poor APIs Poor communications skills create another pain point for making the API useful to developers, said Musser. This is primarily caused by not keeping developers informed or via infrequent communications. Developers will get annoyed when their application stops working for no apparent reason if the API is forked or changed without proper notification. … Documentation makes APIs developer friendly Another problem that Musser frequently encounters is that enterprises fail to make it easy for developers to use the API. They may fail to include a getting started guide, SDKs, code samples or tutorials. In other cases, it may be difficult to find a key for getting started. Sometimes an elaborate process is required to get the first project off the ground. … One of the key challenges that turned up at API World lies in poorly documented APIs. As API Science’s Musser pointed out, poor documentation can hinder adoption of an API by developers in creating new value with the API. But poor documentation can also cost an organization in lost developer productivity when the API will only be used internally, said Yves Vandewoude, co-founder and documentation evangelist at Qmino, a software development agency in Brussels.This is not always an easy problem to solve. Developers want to write code not documentation, said Vandewoude. At the same time, developers can get out of touch with their own API, and outside developers often need to look at the source code to understand the API. The original developer has the least to gain and the most to lose by spending a lot of time writing documentation. … Also these teams only tend to write documentation for the final product, which is not always useful during development.Another approach is to simply ignore documentation, and pray that developers will figure out how to use the API. Vandewoude said this approach tends to be more expensive in the long run in terms of lost developer productivity.A third approach lies in automatically generating documentation using a tool like Qmino’s MireDot application or the RAML API specification language. This documentation might not be as good as professional written documentation and may lack in-depth tutorials or samples. But it is always current. … Although JSON has a number of benefits, it also created challenges in many of the OneNote API use cases for saving Web pages. Jones said it is important to start from the perspective of how developers were likely to use the API and build around that. In the case of the OneNote API, the number one scenario was for sending a page of content into OneNote. So the team decided to leverage HTML as a front door for the API. ... While this approach worked well for experienced developers who made extensive use of libraries, other developers kept running into problems with the custom code written to process MIME messages. ... A good strategy lies in looking how developers are using the API, and then figuring out how to accommodate them. It can be challenging to experiment with different API implementation approaches. APIs are more difficult to test than Web applications in that it is not possible to do A/B testing on different API design approaches. “You cannot send out five samples of an API and expect people to program against all of them,” said Jones. “We were lucky to have internal customers. It might have been harder to tease good feedback from external developers.”

Here is what 7 thought leaders have to say. - Optimise for Speed and Security - Enhance Performance and Consistency - Utilise Testing and Debugging Tools - Leverage Data and Cutting-Edge Tech - Ensure Responsive Design and Accessibility - Address Authentication and Data Privacy - Automate Testing for Compatibility and Performance ### Optimise for Speed and Security Some of the most common web-development issues include slow page-load times, compatibility problems across different devices and browsers, and security vulnerabilities. Slow page-load times can frustrate users and harm your search engine rankings. Developers can troubleshoot this by optimising images, using efficient coding practices, and implementing lazy-loading, where images and videos load only when needed. Compatibility issues arise when a website doesn’t function properly across various devices or browsers. To address this, developers should test their site on multiple platforms during development to catch and fix any problems early. Security vulnerabilities are also a big concern, especially with the rise in cyberattacks. Regular security audits and keeping all software up to date are crucial for preventing breaches. Developers can effectively troubleshoot these issues by staying proactive and thorough in testing and ensuring a smooth user experience. ... In 2025, common web development issues include performance bottlenecks and compatibility problems across devices. To troubleshoot effectively, I focus on optimising code and leveraging tools like performance analyzers and cross-browser testing platforms. ... Developers in 2025 often grapple with challenges such as performance optimisation, ensuring websites load quickly and efficiently. Cross-browser compatibility remains an issue, requiring meticulous testing across different platforms. Strong precautions must be taken to protect user data because security flaws are a persistent concern. While responsive design is necessary to adjust to different screen sizes, its successful implementation can be challenging. Developers use security scanners, browser compatibility testing suites, and debugging tools to find performance bottlenecks and troubleshoot these problems. A deep understanding of web standards and best practices is crucial. ... Security and privacy are also big concerns. We encrypt all data and regularly audit our systems and software for vulnerabilities. Just last month, we caught an intrusion attempt and patched the issue within hours. A major challenge is keeping up with new technologies like VR and AR. We test new tech extensively to ensure a good user experience before integrating it into clients’ websites. ... Performance Optimisation: User Experience and SEO remain important factors that depend on the speed of your website. Improve performance by compressing assets, caching them, and using CDNs (Content Delivery Networks), as well as lazy-loading media. Security Concerns: HTTPS, secure authentication methods, and security audits should be included to safeguard against cyber threats. … ### Address Authentication and Data Privacy I’ve seen many web development issues over the years. In 2025, authentication and data privacy continue to challenge developers. - Scalability and uptime are major concerns as more companies move authentication to the cloud. If an authentication service goes down, your whole application is down. - Developers struggle to keep up with new regulations like GDPR and CCPA. - Augmented reality, virtual reality, and voice assistants introduce new authentication methods beyond passwords. ... Common web development issues in 2025 include cross-browser compatibility challenges, complex state management, and performance bottlenecks. To effectively troubleshoot these issues, developers should use automated testing frameworks like Cypress or Selenium to identify compatibility issues early. Managing complex state can be simplified by leveraging state management libraries like Redux or Zustand, which make debugging and state tracking more straightforward.

The onslaught of emerging and evolving technologies in 2025 has created a convergence of challenges software developers face that require new approaches to established leadership norms. ... But how do software developers themselves feel about these changes? In a recent industry study, developers named **security (51%)**, the **reliability of AI-generated code (45%)**, and **data privacy (41%)** as the biggest challenges they expect to face in the year ahead. The hurdles are not just technical; the rapid adoption of new technologies is fueling a crisis of complexity. We’re seeing a convergence of massive AI integration, evolving security threats, and a sheer explosion in system complexity. Organizations poised to overcome these challenges will pull ahead of the competition, while those that can’t will struggle with technical debt, vulnerabilities, and high developer turnover. … ... Yet, nearly half of them, **45%, are struggling with the reliability of that same AI-generated code**. ... Security threats are no longer just about perimeter defense; **93% of security leaders expect to face daily AI-driven attacks this year**. Meanwhile, the study also points to a critical disconnect between executives and developers. While leadership focuses on delivery speed, developers are **losing 23% of their time to technical debt** and another significant portion to fragmented information, forcing them to hunt for documentation instead of writing code. … ### Challenges Software Developers Face #1: How Can I Manage The Exponential Growth in Software Complexity? Modern software systems have reached a complexity threshold that traditional methods can’t seem to easily handle. The shift to microservices has introduced new layers of complexity around service discovery and distributed communication. Technical debt accumulates like interest, making every future change more expensive and risky. Container orchestration and serverless functions add hundreds of configuration parameters, where a single misstep can cause a cascade of failures. … ### Challenges Software Developers Face #2: How Do I Use AI Without Eroding AI Code Reliability and Trust? The inherent complexity of AI models poses a serious challenge to traditional testing. While AI coding assistants boost productivity, the code they produce can introduce subtle bugs that may not appear until weeks or months later in production. This AI-generated code often lacks the crucial context and domain knowledge needed to handle edge cases or scale effectively. **What To Do About It** - **Apply AI Code Quality Protocols:** Establish comprehensive testing and code review processes specifically designed to vet AI-generated code. Senior developers must verify that this code adheres to your architectural and security standards. - **Make AI-Human Collaboration The Norm:** Train your developers to use AI tools effectively, teaching them how to craft precise prompts and identify when generated code needs modification. Set clear boundaries for AI usage, especially for critical functions like security or payment processing. … #### Note: Learn more on the AI-powered features in RAD Studio’s latest release here. ... ### Challenges Software Developers Face #4: How Can I Prevent Organizational Inefficiencies From Undermining Developer Productivity? Development leaders understand technical debt isn’t the only productivity killer. Developers also lose time to information fragmentation and constant context switching. Using multiple, disparate tools creates overhead that compounds over the workday, while inter-team friction creates bottlenecks that slow down feature delivery. **What To Do About It** - **Optimize Information Architecture:** Create centralized documentation and API discovery platforms to establish a single source of truth. Implement knowledge management systems that capture architectural decisions and troubleshooting guides. - **Consolidate Tools:** Plan for integrated development environments that reduce the need for developers to switch between different tools. Automate workflows to connect tools and minimize manual handoffs. … ### Challenges Software Developers Face #7: How Do I Keep Edge Computing Complexity Under Control in a Cloud-Native Environment? The move to cloud-native architectures like microservices and Kubernetes introduces operational complexity that clashes with traditional development approaches. Edge computing adds new difficulties around data synchronization and performance optimization across diverse hardware environments. **What To Do About It** - **Build a Modernization Roadmap:** Create a phased migration strategy to move systems to cloud-native architectures without disrupting business operations. Develop training programs for your teams on cloud-native technologies. - **Optimize and Track Costs:** Prevent cloud costs from getting out of control while you focus on performance. Build monitoring and observability systems specifically designed for distributed, cloud-native applications.