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APIs are supposed to simplify things. But most of the ones we see in the wild do the opposite.
At TLVTech, we’ve worked on backend systems across dozens of startups—from quick MVPs to enterprise-scale platforms. And if there’s one thing we consistently fix, it’s overcomplicated, unclear, or inconsistent API design.
A good API doesn’t just “work.” It’s obvious. It’s boring. It’s predictable.
Here’s what a clean API looks like—and why so many teams get it wrong.
You don’t need to read a spec to understand what POST /users/123/reset-password does. But POST /core/actions/trigger? That’s a guessing game.
Good APIs:
/users, /projects, /sessions)/users/123/reset-password)If you need a wiki to explain your endpoints, your naming is broken.
Too many teams try to outsmart HTTP. Don’t.
Use the standard verbs:
GET to fetchPOST to createPUT or PATCH to updateDELETE to removeNo need for POST /getData or GET /createThing. HTTP already gives you semantics—use them.
GET /users/123/projects/456/comments/789/tasks
This kind of nesting looks structured—but quickly becomes unreadable, hard to test, and painful to maintain.
Unless the hierarchy truly matters, flatten it:
A common mistake: designing APIs like direct database wrappers.
Yes, the data model matters—but the API should reflect how the frontend or client uses the data.
Example:
Instead of forcing 3 requests to get user info, preferences, and subscriptions—offer a GET /users/123/dashboard endpoint that returns everything the UI needs in one go.
Backend is for composition. API is for usability.
Don't break clients with unannounced changes.
/v1/users)If your API changes weekly, no one will trust it long-term.
The best APIs feel invisible. They just make sense. No surprise responses, no guessing game with endpoints, no need to dig through docs just to get started.
At TLVTech, we treat APIs like products—because every time someone calls your API, it is part of the product.
If you're building something and want your backend to scale without chaos, let’s talk.
Learn how to build production-ready AI infrastructure in 2025–2026 with modern AI architecture principles for scalability, observability, security, cost efficiency, and compliance.
- Microservices in Java break an application into independent parts; each microservice has its own purpose and function. - They improve operational efficiency and scalability in the Java environment and allow changes to one service without affecting the others. - A Java microservice is a standalone application, communicating via a well-defined API and performing a distinct function. - Implementing microservices in Java involves design, coding, database setup, and testing phases. Best practices include building for failure, automating setups, maintaining service independence and continuous monitoring. - Java microservices have pros such as scalability, resilience, support for multi-language and database while challenges include managing independent components, risk of ending in a tangled service web without careful design. - Java microservices are recommended for complex projects and cross-platform due to its open-source nature compared to C# microservices. AWS enhances Java's capacity to create complex applications while Node.js is preferred for services handling many requests. - Mastery of Java microservices presents career opportunities in various sectors. Emphasizing Java-based microservice experience and versing in tools like Spring Boot is crucial for job seekers. - Java provides a platform-agnostic structure favoured in microservice architecture and implements components such as Service Discovery and Service Registry in distributed systems. - Optimization of Java microservice involves refining code, system design and creating efficient databases to enhance performance. - Balanced load, diligent optimization, and vigilant performance monitoring achieve top-notch Java microservices. - Key tools for Java microservices development are Spring Cloud, Maven or Gradle. Best practices for development revolve around designing for failure, data isolation, and creating stateless services.
TLVTech celebrates April Fools’ Day with a playful take on AI innovation, unveiling the “world’s first Quantum GPT” and a bold vision for the future of technology.
