API Development
Time is one of the most valuable resources for software development, yet it is often lost in repetitive setup tasks. Every developer feels the excitement of a new project—an idea full of potential, ready to be built. But before diving into meaningful code, developers are caught in a cycle of repetitive tasks: creating directories, installing dependencies, configuring environments, and rewriting familiar boilerplate. Instead of fueling innovation, these tedious steps slow developers down, making development feel more like a chore than a creative process.
But what if you could cut these tasks in half? That's where AI-powered automation tools and AI code generator code come in. They revolutionize how developers write code by eliminating repetitive manual work, reducing human error, and freeing up time for more strategic tasks. Tools like Blackbird, CodePilot, and other AI-driven solutions help developers shift their focus from tedious configurations to creative problem-solving and innovation.
In this article, we’ll explore how these tools work, why they’re game-changers, and how you can integrate them into your workflow to boost productivity and efficiency.
March 14, 2025 | 15 min read
API Development
Chaos testing is an experimental approach rooted in chaos engineering. It involves deliberately introducing failures such as shutting down servers, introducing latency or corrupting data in a controlled environment. The goal is to observe how systems respond to unexpected disruptions and to identify any weaknesses that could lead to system failures or unplanned downtime.
Originating from experiments conducted by pioneers like Netflix, who famously created Chaos Monkey as part of the Simian Army, chaos testing has been widely adopted by teams leveraging cloud providers like Amazon Web Services. This practice ensures that critical APIs remain robust even when external dependencies fail. Through chaos testing experiments, engineers can simulate real-world scenarios that might otherwise go untested until a critical incident occurs.
By integrating chaos testing into your software development lifecycle, you not only strengthen incident response but also ensure your systems can respond gracefully to adverse conditions. Let’s detail five practical ways to leverage chaos testing for robust API development.
March 11, 2025 | 12 min read
API Development
Who didn’t love a good sandbox as a kid? Well, us developers do too. Developers are using them to play it safe, testing APIs without breaking anything valuable or spending a fortune on mistakes.
Many businesses provide external APIs (plus the associated documentation) that include best practices for API consumers to test the integrations being built with those APIs before they are launched into production. In layman’s terms, this is the “API sandbox.”
We believe it is a best practice for businesses offering an API to enable API consumers, internal developers, partners, and especially the wider developer community, to test them out in an isolated environment. This allows those API consumers to vet APIs more effectively and eventually develop integrations more efficiently.
March 10, 2025 | 14 min read
API Development
Manually building APIs without OpenAPI specs is a tedious process. You're writing every endpoint, request, and response from scratch. Keeping track of changes across teams is another challenge. As if that's not enough, when your API evolves, updating documentation and integration code becomes a time-consuming, error-prone task.
OpenAPI simplifies this. It turns your API into a structured, machine-readable format, making it easier to generate documentation, client SDKs, and server stubs automatically. Instead of manually maintaining API contracts, you have a single source of truth that keeps everything in sync.
But creating OpenAPI specs isn't always straightforward. Defining every endpoint, schema, and response manually can be just as overwhelming as managing an API without a spec.
March 6, 2025 | 17 min read
API Development
Many companies use Kubernetes to run their containerized applications because it works great on a large scale. But as businesses add more services and update them often, it becomes harder to keep costs low while making sure systems stay stable. That’s why smooth development and release cycles are so important. When updates are carefully planned and rolled out, systems keep running without interruption, reducing downtime. In turn, this careful planning helps cut wasted resources, lower mistakes, and ultimately save money.
In this article, you’ll explore key strategies for Kubernetes cost optimization, including factors affecting costs, best practices, the impact of frequent updates, and the role of API development.
What is Kubernetes Cost Optimization
March 3, 2025 | 20 min read
API Development
If you’re building APIs today, you know it’s not just about writing code but creating seamless communication between services across computation nodes. Unlike monolithic applications, API development in distributed environments demands scalability, fault tolerance, and efficient service discovery. Let’s walk through a step-by-step guide for strong distributed systems.
First things first, we need to define clear API contracts, choose the right architecture, plan for API versioning, and model your data effectively. These steps are important for creating scalable and maintainable APIs.
1. Define Your API Contracts
February 27, 2025 | 11 min read
