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Everything You Need to Know About Harness Engineering

2026-07-06T11:40:27+00:00

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 from a chatbot answering a single question — and it breaks the old playbook for controlling AI behavior. For a while, "prompt engineering" was the go-to answer. Write a clearer instruction, add a few examples, and the model behaves. That still works for single-turn tasks. But once an agent is operating [...]

Everything You Need to Know About Harness Engineering2026-07-06T11:40:27+00:00

Should Philippines Make Its Own Local Large Language Model?

2026-07-01T06:19:01+00:00

  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 an early-career professional, I have heard these questions before, whether we are talking about sovereignty, independence, or simply having something to be proud of. Some people in our industry keep asking that question, and more often than not, in that same instance, the reality of creating one always surfaces. First, it [...]

Should Philippines Make Its Own Local Large Language Model?2026-07-01T06:19:01+00:00

How to Balance Business Goals with User Needs in UI/UX: A Data-Driven Approach

2026-07-01T06:08:16+00:00

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 opposites, but they often pull in different directions, so "just build what users want" is rarely enough advice on its own. Bridging that gap is not purely a design skill or a business skill — it lies at the intersection of both. A developer who understands generative AI's business value, or [...]

How to Balance Business Goals with User Needs in UI/UX: A Data-Driven Approach2026-07-01T06:08:16+00:00

UI/UX Design: Speeding Up the Creative Process with AI

2026-06-29T10:54:56+00:00

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 workflow — research, wireframe, high-fidelity mockup, developer handoff — can take weeks in a normal product cycle. Most of us simply do not have weeks to spare. Students finishing a thesis MVP, hackathon participants racing the clock, and hobbyists building for fun on a weekend all want to see something real [...]

UI/UX Design: Speeding Up the Creative Process with AI2026-06-29T10:54:56+00:00

Agentjacking: How Fake Sentry Errors Hijack AI Coding Agents

2026-06-28T15:46:35+00:00

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 for: when an agent reads data from an external tool, it often treats that data as trustworthy. A new attack class called agentjacking takes advantage of exactly this assumption. Researchers at Tenet Security documented the technique in June 2026. It tricks AI coding agents into executing attacker-controlled code by hiding instructions [...]

Agentjacking: How Fake Sentry Errors Hijack AI Coding Agents2026-06-28T15:46:35+00:00

Amazon Quick & Agentic AI: Understanding the Tools Behind Your AI-Powered Workflow

2026-06-28T11:18:25+00:00

AI is no longer just a tool that answers questions. It is becoming something that takes action, runs workflows, and works alongside teams the way a capable colleague would. Amazon Quick is AWS's take on what that looks like in practice, and this article breaks down what it is, how it works, and why the infrastructure behind it matters. What is Amazon Quick? Imagine asking one platform to pull your sales data, automate a workflow, build you a web app, and research your competitors. That's Amazon Quick. It's AWS's agentic AI platform, and it does a lot. Six things, specifically: [...]

Amazon Quick & Agentic AI: Understanding the Tools Behind Your AI-Powered Workflow2026-06-28T11:18:25+00:00

Build AI Apps Faster with Google AI Studio and Gemini

2026-06-26T16:11:01+00:00

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. Developers must configure API authentication, choose the right model, design prompts, and set up supporting infrastructure before they can start building. Google AI Studio simplifies this process. It provides a browser-based environment where developers can test Gemini models without writing integration code first. They can prototype prompts, compare responses, generate API [...]

Build AI Apps Faster with Google AI Studio and Gemini2026-06-26T16:11:01+00:00

OpenRouter Explained: Access Multiple AI Models Through One API

2026-06-26T15:29:28+00:00

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 multiple options is beneficial, integrating several AI providers into a single application often introduces additional complexity. Developers must manage different API endpoints, authentication methods, SDKs, pricing models, and rate limits, making it difficult to build flexible AI-powered applications. To address this challenge, platforms such as OpenRouter provide a unified API that [...]

OpenRouter Explained: Access Multiple AI Models Through One API2026-06-26T15:29:28+00:00

Build Your Own JARVIS AI Chatbot Interface using Vercel

2026-06-26T03:04:05+00:00

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 same. They feature soft, rounded gray-and-white chat bubbles that look exactly like those in a smartphone's default texting app. They work perfectly fine, but they are a bit... boring. We are going to fix that. In this guide, I will show you how to take a standard, generic chatbot template and [...]

Build Your Own JARVIS AI Chatbot Interface using Vercel2026-06-26T03:04:05+00:00

Can’t Use the Terminal, Can’t Defend the Network: The Importance of Cybersecurity Degrees in the Philippines

2026-06-25T12:20:37+00:00

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 Linux command line. Most of the servers, cloud instances, and network appliances that cybersecurity professionals are hired to defend run on Linux, not Windows. Yet for a long time, formal cybersecurity education in the Philippines has lagged behind this reality, treating security as a side topic bolted onto general IT or [...]

Can’t Use the Terminal, Can’t Defend the Network: The Importance of Cybersecurity Degrees in the Philippines2026-06-25T12:20:37+00:00

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Upskill and earn over $150,000 per year with an AWS, Azure, or GCP certification!

Follow us on LinkedIn, Facebook, or join our Slack study group. More importantly, answer as many practice exams as you can to help increase your chances of passing your certification exams on your first try!