Documentation

REST vs GraphQL: Choosing an API Style Choosing an API style shapes how developers work with data. REST and GraphQL are the two most common patterns today. Both can power many apps, but they suit different needs. Think about data shape, client variety, and how you want to handle changes over time. REST uses resources and standard HTTP verbs. Endpoints map to things like /users or /posts, and caching often works well with HTTP headers. Its simplicity helps teams move fast and keeps interoperability high. The downside is overfetching, or extra requests when data is spread across multiple resources. ...

AI Assistants in Software Development: Boosting Productivity AI assistants are changing how developers work. They handle repetitive chores, suggest safer coding patterns, and help teams learn faster. When used well, these tools speed up your workflow without sacrificing quality. They act as capable partners, offering ideas and checks, but they still rely on human judgment and thorough review. Inside daily tasks, AI can write small functions, generate tests, and turn plain language ideas into code. For example, you can say, “Create a function that parses a CSV and returns a list of records,” and the assistant provides a draft you can refine. It can also add docstrings and comments that explain what the code does. ...

API Design Best Practices: Reliability and Usability A well designed API helps developers build features quickly and reliably. Reliability means the service behaves predictably, with stable contracts and strong error handling. Usability means clear guidance, intuitive endpoints, and examples that work in real projects. Together they reduce surprises for teams and improve long-term maintenance. Make contracts stable and explicit Use versioned endpoints or a clear version header to signal changes. Document deprecation policies and provide long enough notice. Keep response shapes stable; introduce new fields as optional to avoid breaking clients. Handle errors consistently ...

NLP in Healthcare: Opportunities and Risks NLP tools are increasingly used in healthcare to turn large text into useful information. They can read clinical notes, discharge summaries, and research papers, then extract key facts like diagnoses, medications, and allergies. This can save time and support better care. But tools vary in quality, and mistakes can harm patients. To use NLP safely, teams need clear goals, good data, and ongoing oversight. ...

Lightweight APIs: REST, GraphQL, and Beyond APIs let apps talk to each other. When a design stays lightweight, teams move faster and users feel the difference in performance. This post compares REST, GraphQL, and a few practical alternatives, with tips to choose what fits your project. REST remains the everyday choice. It works with resources, HTTP verbs, and standard status codes. It plays well with caching, simple tooling, and clear documentation. A typical REST call looks like GET /users/42, returning JSON like { “id”: 42, “name”: “Alex” }. For writes you use POST, PUT, PATCH, or DELETE, guided by resource paths. REST shines when the API is stable, the data shape is predictable, and clients are varied. ...

API-first design and developer experience API-first design puts the contract at the center. Teams define resources, endpoints, and data formats before building apps that use them. This approach helps both internal teams and external partners move faster, because everyone starts from a shared, stable surface. A good developer experience means clear docs, friendly error messages, and predictable behavior. Design principles matter. When contracts are clear, code follows patterns, and tests reflect real use, developers can onboard quickly and stay productive. A consistent surface reduces surprises. Naming, request shapes, and error formats should feel familiar across the API family. ...

API Design for Developers and Partners A well designed API acts as a clear contract between your team, developers, and partner companies. It reduces friction, speeds integrations, and helps your platform scale. In practice, this means clear resource naming, stable behavior, predictable versioning, and good documentation that answers both “how to start” and “what to expect.” Think in terms of resources rather than actions. Use stable, versioned paths and consistent responses. Provide precise error messages and helpful example payloads. For partners, design authentication and access with clear scopes, test data, and a simple onboarding flow. The goal is to empower external teams to build quickly without guessing your internal rules. ...

Core Practices in Software Development Great software rests on repeatable practices. Core practices help teams deliver value while staying maintainable. They work best when adopted as guiding principles, not rigid rules. By focusing on goals, quality, and teamwork, developers ship better software more predictably. Planning and Requirements Clear planning reduces rework. Start from user goals, write short stories, and set acceptance criteria that are easy to test. Regular backlog grooming keeps teams aligned and avoids surprises. Small bets that can be validated quickly help the project stay on track. ...

Collaboration Culture in Remote Teams Collaboration in remote teams relies on a shared culture more than fancy tools. When teammates work across time zones and busy schedules, clear expectations and mutual respect become the glue. A strong collaboration culture helps people feel connected, stay aligned on goals, and move work forward without constant meetings. It grows from daily actions: how quickly you reply, how you phrase feedback, and how you recognize each other’s contributions. ...

Software Development Practices That Stand the Test of Time Software development evolves quickly, but some practices stay useful for years. They help teams stay focused, reduce bugs, and keep code understandable for new members. By keeping these habits simple and consistent, projects can grow without piling up technical debt. These practices form a solid foundation that works across languages, teams, and project sizes. They also help new members join faster and keep momentum during busy sprints. ...