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What is Chain of Thought Prompting?

2025-08-31T16:52:13+00:00

A prompting technique in Large Language Models (LLMs) where the model is guided to show intermediate reasoning steps before arriving at the final answer. Inspired by how humans solve problems step by step. Helps LLMs handle complex reasoning tasks such as math, logic, and multi-step decision-making. Key Concepts Step-by-Step Reasoning: Instead of jumping to an answer, the model explains its thought process. Intermediate Steps: Similar to “showing work” in math problems. Better Accuracy: Effective in arithmetic, logical reasoning, and multi-hop questions. Prompt Example: “Let’s think step by step.” Benefits Improves reasoning accuracy. Makes the model’s output more interpretable. Reduces errors [...]

What is Chain of Thought Prompting?2025-08-31T16:52:13+00:00

No Comment: How Technical Documentation Helps your Team

2025-08-31T10:06:08+00:00

It’s easy to get lost specially, in a big project. However, believe it or not, even in small projects or personal passion projects, it’s still easy to get lost because of your own wrongdoing, not documenting properly. As a beginner, or even “experienced,” it’s a hassle having to put comments and document every changes you made to your code, because we always think that our memory will suffice, which is not always the case. If we’re working with a team, many changes are all happening at once, which will make it hard for you to catch up and keep track [...]

No Comment: How Technical Documentation Helps your Team2025-08-31T10:06:08+00:00

Getting Started with n8n + A Quick Workflow Example

2025-09-01T10:15:27+00:00

In a world full of repetitive tasks, automation is not a new thing. For years, humanity designed machines and systems to take over the monotonous or large-scale work from humans. We've come a long way from industrial automation, it now uses the algorithms to create system that can automatically check, send, or even sort your emails and documents, manage your store's inventory, and even drive (would I still need a license in this case?). With all the power automation gave us, we still crave more. We thought 'what if automation could learn, adapt, and create?' a thought that is coming into reality [...]

Getting Started with n8n + A Quick Workflow Example2025-09-01T10:15:27+00:00

Automated Web Testing at Scale: Playwright Meets AWS

2025-09-02T06:56:48+00:00

Picture the time you'll save from your web applications' repetitive and inconsistent manual testing. No more opening the app, logging in, clicking through the same steps, and checking if everything still works. What's worse, manual testing is prone to mistakes. One person could miss a step, another might test on a different browser, and suddenly, the results don't match, and the bugs start eating your application down. The lack of consistency creates uncertainty.  But what if the tests could run independently, in the same way, every single time, giving you more control over the testing process? The answer: Automation. Instead [...]

Automated Web Testing at Scale: Playwright Meets AWS2025-09-02T06:56:48+00:00

Agentic AI in Applications: Turning Ideas into Autonomous Workflows

2025-08-29T13:53:44+00:00

AI Agents in Applications: Turning Ideas into Autonomous Workflows Artificial Intelligence has quickly advanced from basic chatbots to sophisticated generative models. But in 2025, a new era is unfolding: AI agents, also known as Agentic AI, that don’t just generate responses but act as autonomous digital teammates—capable of planning, executing, and completing tasks end-to-end. For students, developers, and IT professionals, understanding how Agentic AI works, and where it’s being applied, is key to preparing for the future of technology. What are AI Agents (Agentic AI)? Through its advanced design, Agentic AI is able to: Plan workflows independently. Seamlessly connect with [...]

Agentic AI in Applications: Turning Ideas into Autonomous Workflows2025-08-29T13:53:44+00:00

What is Model Context Protocol (MCP)?

2025-08-28T09:19:36+00:00

An open, model‑agnostic protocol introduced by Anthropic in November 2024, designed to standardize how AI systems (huge language models, LLMs) connect with external data sources and tools via a JSON‑RPC interface. Often likened to a “USB‑C port for AI,” offering a universal interface rather than bespoke integrations per system. Key Benefits of MCP Provides a standardized interface so LLMs can easily connect to multiple tools and data sources without custom adapters. Solves the “N×M” problem, removing the need to build a unique connector for every AI–tool combination. Ensures structured and validated exchanges, supporting better debugging, version control, and reliability in [...]

What is Model Context Protocol (MCP)?2025-08-28T09:19:36+00:00

AI and Students: Shortcut to Laziness or Pathway to Career Success?

2025-08-29T02:35:07+00:00

Over the past few years, I’ve personally experienced the rapid rise of artificial intelligence. As a student, I’ve used AI tools to help me with research, brainstorming, and even understanding complex topics. Sometimes, it made my work faster and more efficient, yet other times, I caught myself questioning whether I was relying on it too much. This naturally raises an important question: is AI really helping students prepare for their future careers, or is it making us lazier and less critical in our thinking? Across classrooms and universities, this debate continues to grow louder. On one side, AI can personalize [...]

AI and Students: Shortcut to Laziness or Pathway to Career Success?2025-08-29T02:35:07+00:00

Turning AI Prompts into Real-World Results

2025-08-29T10:51:27+00:00

It all starts with a simple AI prompt. When you have an idea that you want to explore further, one of the easiest ways to keep the ball rolling is to turn that idea into a prompt for an AI tool. This helps clarify your vision, spark new directions, and provide a starting point you can build from. AI doesn’t magically finish your work for you, but it can set you up with a solid foundation that saves time and keeps your momentum going. As an active volunteer in the Philippines’ tech community, I’ve been to numerous events and noticed [...]

Turning AI Prompts into Real-World Results2025-08-29T10:51:27+00:00

From Concept to Code: Build Your First MCP Server

2025-08-27T16:27:09+00:00

For a long time now, LLMs or large language models have been going around the tech industry with its massive knowledge on languages. They can comprehend and even generate human language with bull's-eye fluency. Nevertheless, despite their strengths, powerful as they are, these intelligent models act in isolation. They have no hands to implement and interact with the world; they lack the ability to connect to databases, fetch data, or even trigger an action in a completely different application. Consequently, this lack of ability incapacitates the LLM's high potential when communicating with machines. This is why the introduction of the [...]

From Concept to Code: Build Your First MCP Server2025-08-27T16:27:09+00:00

Hosting Static Websites for Free with GitHub Pages: A Step-by-Step Guide

2025-08-26T09:03:10+00:00

  Hosting Static Websites for Free with GitHub Pages: A Step-by-Step Guide GitHub Pages is, in fact, one of the most accessible and cost-effective ways to host static websites. This tutorial provides a detailed, step-by-step guide on how to host a static website using GitHub Pages, from repository setup to deployment, including custom domain configuration.   What are GitHub Pages? GitHub Pages are  static site hosting services offered by GitHub. It allows users to publish web content directly from a repository: Personal portfolios Project showcases Landing pages Technical documentation Key Features Free of charge with unlimited public repositories Direct integration [...]

Hosting Static Websites for Free with GitHub Pages: A Step-by-Step Guide2025-08-26T09:03:10+00:00

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