Tech Blogs - Tutorials Dojo

Everything You Need to Know About Harness Engineering
AI agents can now write code, browse the web, and run for hours without a human watching. Ask one to build a feature, and it might open ten files, call five tools, and make a hundred small decisions before it ever shows you a result. That's a different animal [...]
Should Philippines Make Its Own Local Large Language Model?
As countries all around the world are beginning to seriously invest in their own models, there is a growing debate on whether the country should create its own local large language model. If we do, would it be cost-effective? And if it is, would it be beneficial? As [...]
How to Balance Business Goals with User Needs in UI/UX: A Data-Driven Approach
The Tug-of-War Balancing business goals with user needs in UI/UX is a challenge every designer eventually runs into. Users want fast, free, and beautiful experiences with no friction anywhere. The business, meanwhile, wants high conversion rates, low hosting costs, and a fast time-to-market. These two wish lists are not always [...]
UI/UX Design: Speeding Up the Creative Process with AI
The Builder's Mindset If you have ever stared at a blank Figma canvas with a deadline looming — a thesis defense, a hackathon demo, or just a personal app idea you finally want to ship — you already know that speed matters as much as polish. A traditional UI/UX [...]
Agentjacking: How Fake Sentry Errors Hijack AI Coding Agents
AI coding agents like Claude Code, Cursor, and Codex now do far more than autocomplete. They read source code, query observability platforms, open pull requests, and run terminal commands on developer machines. That expanded access is useful, but it also creates a problem most security teams have not accounted [...]
Build AI Apps Faster with Google AI Studio and Gemini
Artificial intelligence has become an essential part of modern software development. It helps developers build applications that understand natural language, generate content, analyze documents, write code, and automate complex tasks. While large language models (LLMs) make these features easier to use, integrating them into real applications still takes time. [...]
OpenRouter Explained: Access Multiple AI Models Through One API
The rapid advancement of generative AI has given developers access to an ever-growing collection of large language models from providers such as OpenAI, Anthropic, Google, Meta, Mistral AI, and xAI. Each model offers different strengths, whether in reasoning, code generation, content creation, multilingual support, or cost efficiency. While having [...]
Build Your Own JARVIS AI Chatbot Interface using Vercel
Have you ever watched Tony Stark boot up his suits and wished you had your very own J.A.R.V.I.S. to help you code, research, or just manage your day? If you are just starting out with web development, you have probably noticed that most AI chatbot tutorials look exactly the [...]
Can’t Use the Terminal, Can’t Defend the Network: The Importance of Cybersecurity Degrees in the Philippines
Can't Use the Terminal, Can't Defend the Network: The Importance of Cybersecurity Degrees in the Philippines Open a job posting for a Security Operations Center (SOC) analyst, a penetration tester, or a systems administrator anywhere in the world, and one requirement shows up again and again: comfort with the [...]
PromptWars hackathon: students built AI apps
On June 20, 2026, thirty junior and senior high school students spent a day at Programmable Makati building working AI applications. The event was PromptWars: AI-Powered, Student-Built, a hackathon run by DEVCON Kids Philippines and Tutorials Dojo. This event demonstrated how beginners can build with high impact solutions [...]

GitHub Models

GitHub Models Cheat Sheet GitHub Models is a comprehensive suite of developer tools designed to lower the barrier to enterprise-grade AI adoption. It embeds AI development directly into familiar GitHub workflows, helping developers move beyond isolated experimentation. The platform provides tools to test large language models (LLMs), refine prompts, evaluate outputs, and make data-driven decisions using structured metrics—all without requiring separate API keys or complex authentication. Current Status: GitHub Models for organizations and repositories [...]

Agent Skills: On-the-fly capabilities for your AI Agents

Agent Skills are the new boom. If you’ve been following the agentic AI space since late 2025, you’ve likely noticed a shift. Previously, we spent most of 2024 and 2025 obsessing over tools—giving LLMs calculators, database access, and API keys. But giving a new employee a laptop and a login doesn’t make them productive. You still have to train them. For example, you have to show them how your organization works. That is exactly [...]

Amazon Bedrock’s LLM-as-a-Judge: Automate AI Evaluation with Nova Lite + Claude

Evaluating your LLM’s quality should not cost you too much money or even weeks of your time. You’re probably stuck in a limbo of choosing between two options that have their own drawbacks: Automated metrics like BLEU, ROUGE and accuracy scores? Sure, they are quite fast and cheap, but they ultimately fall short in judging real conversations. Since they simply match word patterns, they're not a good fit for open ended responses simply because [...]

A Beginner’s Guide to the Machine Learning Pipeline on GCP

When people hear the term "machine learning," they often imagine complex math, advanced algorithms, or mysterious "AI magic" happening behind the scenes. In reality, machine learning on the cloud is far more practical and structured than it may sound. At its core, an ML pipeline is a series of steps that transform raw data into useful predictions. Think of it like a typical software workflow: You prepare your code You build the application You [...]

Building a Cost-Aware RAG Application with Amazon Bedrock

What if your Client can have a Chatbot that throws a highly accurate responses based on your documents? Without having a guilt of the monthly expenses. Without even subscribing to any costly, AI-support subscriptions. Only pay per inquiry requests to your model provider, and of course only costs you cents, and it lessens when your client is already satisfied with the answer, as it returns a fully verified response based from the documents you [...]

Zero-Sweat: A Comprehensive Guide to IAM Policy Autopilot

Picture this: your application works perfectly on your local machine. You deploy it to AWS, then immediately hit an “Access Denied” error. If you’ve worked with AWS for any length of time, you’ve experienced this. What follows is usually a frustrating dive into IAM documentation, trial-and-error permission updates, and lost development momentum. AWS Labs created IAM Policy Autopilot to solve exactly this problem. IAM Policy Autopilot analyzes your application code and generates AWS IAM [...]

The Year of the Agent: Anthropic’s Claude AI Models and Agents

Looking back on the past year of 2025 coding with the help of artificial intelligence, we can safely say that it was the year of agents, especially pioneered by Anthropic with Claude Code. AI products have matured to offer highly reliable agents that can understand, navigate, and work seamlessly on large codebases. It is the end of the old ways: of manually copying and pasting code into web AI applications. Agents are now [...]

AI-Driven Cloud Security at AWS re:Invent 2025

Cloud computing continues to accelerate at a pace that traditional security models were never designed to support. Development teams now provision infrastructure in minutes, deploy services continuously, and scale applications automatically. However, security processes often lag behind this speed. In many organizations, security still enters the workflow after key architectural decisions are already finalized. As a result, teams spend more time fixing problems than preventing them. Although many organizations attempt to shift security earlier [...]

Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and Developers

Amazon Q is often introduced as AWS's generative AI assistant, but that description doesn't really explain why it exists or how it behaves once you start using it. If you treat Amazon Q like a general chatbot, it can feel restrictive or underwhelming. If you treat it as an AWS-native system designed around identity, permissions, and retrieval, it becomes much easier to understand. And much more useful. I've spent a lot of time working [...]

AWS Security Agent: Context-Aware Application Security

The Problem: Security Can't Keep Up In the current engineering landscape of our industry, modern software teams are supposed to be built to be able to move fast. Continuous integration, automated deployments, and agile workflows have seen the rise of weekly and even daily releases to be the norm. With rising business and customer demands in the time of rapid advancements in technology, new features, fixes, and changes are constantly pushed to production. However, [...]