Learn how to convert strings into time values in Golang using the time.Parse() function. This guide covers common formatting pitfalls and provides practical examples for seamless date-time conversions.

Prompt engineering is a hybrid skill combining natural language clarity, technical insight into LLM behavior, and iterative testing. Learning prompt engineering takes 2–8 weeks, depending on your goals and background. This blog breaks down each stage, from understanding LLMs to integrating prompts into real apps, while sharing tools, time estimates, and tips to accelerate your journey. Structured practice leads to mastery.

Prompt engineering is essential for maximizing large language model (LLM) performance. This blog covers eight core techniques: zero-shot prompting for basic tasks, few-shot prompting for more nuanced outputs, chain-of-thought prompting for stepwise reasoning, instruction tuning for specificity, role prompting to control tone and expertise, output formatting for structured responses, prompt chaining to break complex workflows into stages, and prompt testing to refine results.

Selecting the right architectural pattern is crucial for building robust and scalable systems in today's fast-paced software environment. Service-Oriented Architecture (SOA) and Microservices are two prominent approaches, each with unique advantages. SOA emphasizes centralized governance, reusability, and interoperability, making it suitable for large enterprises. In contrast, Microservices adopt a decentralized model, allowing independent services to communicate via lightweight protocols, promoting agility and rapid deployment. Understanding the distinctions between these architectures is essential for aligning system design with business goals. This blog will compare SOA and Microservices, exploring their key features, development practices, and ideal applications to guide software development decisions.

Learn C++ from scratch with this beginner-friendly tutorial. Understand basic syntax, variables, data types, control flow, functions, loops, arrays, pointers and object-oriented concepts—all explained in simple language with practical examples.

Compared to traditional programming, where code compiles into deterministic logic, prompt engineering is a form of controlled ambiguity. It’s an interface where human language meets machine probability. So, how does prompt engineering differ from traditional programming? The differences are technical, behavioral, and philosophical. In this blog, we’ll break them down and also cover the tools, skills, and more.

Prompt engineering has quickly become one of the most sought-after skills in AI-driven development. And with that emergence comes a wave of curiosity about compensation: What is the prompt engineer salary really? In this blog, we’ll explore everything you need to know about prompt engineer salary today, including how it's shaped, where it’s growing fastest, and how to position yourself to earn more as this high-impact field continues to evolve.

Prompt engineering has quickly evolved from an experimental curiosity into a core skill driving some of today’s most powerful AI systems. In this blog, we’ll walk through a structured, practical path to entering the prompt engineering space.

Prompt engineering is no longer a side skill but a core part of how modern developers build applications using large language models (LLMs). While the mechanics of writing a prompt seem simple, real-world usage quickly reveals recurring pain points that affect accuracy, reliability, scalability, and user experience.