Managing Git via the command line is powerful, but let’s admit it—sometimes it feels overwhelming. That’s where LazyGit comes in! It’s a fast, lightweight, and interactive terminal UI for Git, helping you manage repositories without memorizing complex commands. What is LazyGit? LazyGit is a simple terminal-based UI for Git commands. Instead of typing multiple Git commands, you get a visual interface inside your terminal to handle: Staging files Committing changes Managing branches Viewing logs and diffs Handling stashes It’s perfect for developers who love terminal productivity but want to avoid command fatigue. ...

Once upon a time, there was a baker who baked the perfect giant cake. It was huge, heavy, and costly to make. People loved it, but soon everyone started asking for different flavors: “Can I get chocolate?” 🍫 “How about strawberry?” 🍓 “What if you add coffee and almonds?” ☕🌰 The baker sighed. “I can’t bake a new giant cake every time… it’s too expensive!” That’s when the idea struck: 👉 Don’t bake a new cake. Just add a topping. ...

In this brief tutorial, we’ll use FastMCP to transform an existing TODO application (which exposes an OpenAPI spec) into a MCP server and link it to CoPilot for organic task interactions. Step 1: The TODO App Your TODO app should already be running at: http://localhost:8000 And exposing its OpenAPI spec at: http://localhost:8000/openapi.json Step 2: Create the MCP Server Create a file todo_mcp_server.py: import httpx from fastmcp import FastMCP client = httpx.AsyncClient(base_url="http://localhost:8000") spec = httpx.get("http://localhost:8000/openapi.json").json() mcp = FastMCP.from_openapi(openapi_spec=spec, client=client) if __name__ == "__main__": mcp.run( transport="http", host="localhost", port=4200, path="/todo-mcp/http", log_level="debug", ) Run it: ...

We will cover everything you need to know about heap fragmentation, including why it happens, its impact, how to control it, and how different JVM versions handle it, along with JVM options to manage fragmentation. What is Heap Fragmentation? Heap fragmentation occurs when the free memory in the heap is split into small, scattered blocks. This fragmentation makes it difficult for a program to allocate large chunks of memory, even if the total free memory is adequate. ...

When working with Java, two commonly used data structures are HashMap and HashSet. These collections are highly efficient, but their efficiency relies on how they handle internal operations, especially when it comes to collisions. This blog will explain the internal workings of HashMap and HashSet in simple terms and provide examples to help you understand how they manage collisions. What is a HashMap? A HashMap is a data structure that stores key-value pairs. It allows you to store data in a way that lets you quickly retrieve the value associated with a specific key. The keys in a HashMap must be unique. ...

The Singleton Design Pattern ensures that a class has only one instance and provides a global point of access to it. To achieve thread safety, reflection safety, and serialization safety, you need to handle specific concerns. Let’s explore how to implement a Singleton pattern that addresses these concerns. Key Concepts: Thread Safety: Ensures that the Singleton instance is created in a thread-safe manner, so multiple threads do not create multiple instances. Reflection Safety: Ensures that the Singleton instance cannot be created using reflection, which can bypass the singleton restriction. Serialization Safety: Ensures that the Singleton instance remains a single instance even after deserialization. Implementation Here’s a Singleton implementation that addresses these concerns: ...

OAuth 2.0 is a widely used authorization framework that allows applications to access resources on behalf of a user without exposing their credentials. The diagram you provided visually represents the four primary OAuth 2.0 authorization flows: Authorization Code Flow, Implicit Flow, Resource Owner Password Credentials Flow, and Client Credentials Flow. Let’s explore each flow in detail to understand how they work and their respective use cases. 1. Authorization Code Flow Use Case: This flow is ideal for web and mobile applications where the client can securely store a client secret. ...

The Observer Pattern is a behavioral design pattern used to define a one-to-many dependency between objects. When one object (the subject) changes its state, all dependent objects (observers) are notified and updated automatically. This pattern is commonly used in scenarios where changes in one part of an application need to be reflected in other parts without tightly coupling the components. Components of the Observer Pattern: Subject: The object that maintains a list of observers and notifies them of any changes. Observer: The interface or abstract class that defines the update method, which is called when the subject’s state changes. ConcreteSubject: A class that implements the Subject interface and maintains the state of interest. ConcreteObserver: A class that implements the Observer interface and updates itself based on the subject’s state. Simple Example in Java: Let’s create a weather monitoring system where a WeatherStation (subject) notifies multiple display devices (observers) of changes in weather conditions. ...

Importing a CA Certificate in RHEL/CentOS Copy the Certificate: sudo cp your-ca-certificate.crt /etc/pki/ca-trust/source/anchors/ Update the CA Trust: sudo update-ca-trust extract Importing a CA Certificate in Ubuntu/Debian Copy the Certificate: sudo cp your-ca-certificate.crt /usr/local/share/ca-certificates/ Update the CA Trust: sudo update-ca-certificates Importing a CA Certificate in Fedora Copy the Certificate: sudo cp your-ca-certificate.crt /etc/pki/ca-trust/source/anchors/ Update the CA Trust: sudo update-ca-trust Importing a CA Certificate in SUSE/OpenSUSE Copy the Certificate: ...

1. Introduction to Stack in Java Definition: A stack is a linear data structure that follows the Last In First Out (LIFO) principle. Operations: Push: Adds an element to the top of the stack. Pop: Removes and returns the top element of the stack. Peek: Returns the top element without removing it. isEmpty: Checks if the stack is empty. size: Returns the number of elements in the stack. 2. Implementing a Stack in Java Using java.util.Stack: ...