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Marketing your App After Launch: What to Do Next

2026-08-13T00:49:27+00:00

App marketing begins once your product is live and people can try it. This guide is for solo developers, startup teams, and career-changers who have launched an app but need a practical way to find the right users, measure what they do, and turn feedback into steady growth.   Treat launch as the start of distribution Shipping proves that your release is available in production. But it does not prove that people know about it, understand its value, or trust it enough to use your new creation. Those are distribution problems, and they require the same deliberate work as product [...]

Marketing your App After Launch: What to Do Next2026-08-13T00:49:27+00:00

Building the Next Chapter of Microsoft Student Community in the Philippines

2026-08-11T15:59:55+00:00

"We empower the world. Microsoft’s mission is to empower every person and every organization on the planet to achieve more." The Hello, World! Your First Steps into AI and Microsoft meetup marked the beginning of a new chapter for the Microsoft Student Community Philippines (MSC PH)—a nationwide initiative dedicated to connecting student technology communities, developing future Microsoft leaders, and expanding access to cloud, artificial intelligence (AI), cybersecurity, and automation education across the Philippines. For the first time since the Microsoft Student Partners (MSP) program was introduced in the Philippines in 2007, Microsoft student organizations from different universities are coming together [...]

Building the Next Chapter of Microsoft Student Community in the Philippines2026-08-11T15:59:55+00:00

What’s New with the AWS Certified Machine Learning Engineer – Associate (MLA-C02) in 2026?

2026-08-12T17:33:29+00:00

Imagine you’ve been preparing for the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam for weeks. You’ve reviewed machine learning concepts, practiced with Amazon SageMaker, and worked through practice exams. Then you hear the news: AWS is updating the certification to MLA-C02. Now you might be wondering: Should I continue with MLA-C01, or should I wait for MLA-C02? Will my current preparation still be useful? If you’re in this situation, don’t worry; you still have time to decide which exam version works best for your certification journey. The AWS Certified Machine Learning Engineer – Associate validates your technical ability [...]

What’s New with the AWS Certified Machine Learning Engineer – Associate (MLA-C02) in 2026?2026-08-12T17:33:29+00:00

Building Production AI Agents on AWS: AgentCore Harness, Strands 1.0, and the Multi-Agent Architecture that Actually Ships

2026-08-06T16:10:24+00:00

Six months ago, "AI agents on AWS" meant duct-taping together Amazon Bedrock, a Lambda function to handle tool routing, DynamoDB for session state, CloudWatch for tracing, and a LangGraph loop you prayed would recover from a network hiccup mid-reasoning. Every team was reinventing the same infrastructure. Every demo worked; most productions did not. That changed on June 17, 2026, at AWS Summit New York, where Dr. Swami Sivasubramanian (VP of Agentic AI) announced what AWS is calling the agentic infrastructure layer: Amazon Bedrock AgentCore Harness reaching general availability, the Strands Agents 1.0 SDK going production-grade with native multi-agent primitives, and [...]

Building Production AI Agents on AWS: AgentCore Harness, Strands 1.0, and the Multi-Agent Architecture that Actually Ships2026-08-06T16:10:24+00:00

Build Your Own AI Emoji Generator using Next.js

2026-08-06T07:37:58+00:00

Have you ever wanted to build a completely custom AI Emoji Generator but got stuck trying to make a cloned template run on your local computer?  Downloading a production-ready starter repository is rarely a plug-and-play experience. You clone the code, run it, and immediately hit a wall of scary terminal errors from database version mismatches to API rate limit crashes. In this tutorial, we will walk through how to take a standard Next.js AI template, set it up locally step-by-step, and troubleshoot the most common invisible walls that trip up beginners. We will also cover how to customize your user [...]

Build Your Own AI Emoji Generator using Next.js2026-08-06T07:37:58+00:00

Claude Skills Unlocked: A Practical Guide to Anthropic Academy’s 21 Free Courses

2026-07-31T10:22:44+00:00

Anthropic Academy has grown into one of the more substantial free AI learning resources available today, with 21 self paced courses covering everything from everyday Claude usage to building agents with the Model Context Protocol. Every course is free, requires only an email sign up, and is built directly by the team behind Claude rather than a third party reinterpreting the documentation. The challenge most learners run into is not access, since the catalog is open to anyone, but direction, since 21 course titles do not automatically translate into a plan. This guide breaks the catalog into four practical tracks [...]

Claude Skills Unlocked: A Practical Guide to Anthropic Academy’s 21 Free Courses2026-07-31T10:22:44+00:00

Detect Report React Rethinking the Manual Incident Response Playbook

2026-07-31T06:24:19+00:00

In June 2026, nineteen Philippine government websites, including those of the Senate, the House of Representatives, and the National Bureau of Investigation, were defaced within a single week by a hacktivist group calling itself "Nullsec Philippines." By the time the Department of Information and Communications Technology (DICT) issued its statement, the damage was already done and the story was already spreading. This is the reality of modern cybersecurity: attackers move in minutes, but most organizations still respond in hours, or days. Manual incident response, a security analyst spotting an anomaly, escalating it through email or chat, waiting for approval, then [...]

Detect Report React Rethinking the Manual Incident Response Playbook2026-07-31T06:24:19+00:00

AI Ethics Explained: How to Use Artificial Intelligence Responsibly

2026-07-25T14:10:52+00:00

Have you ever used ChatGPT to help explain a difficult topic? Maybe you've asked Gemini to summarize a lengthy article, generate ideas for a school project, write an email, or even use Claude for brainstorming concepts. If you're a student, you've probably wondered: "Is it okay to use AI for assignments?" If you're a content creator, perhaps you've asked yourself at least once: "Who actually owns AI-generated content?" Or maybe you've come across AI-generated images and videos on social media posts and thought: "How can I tell if this is real or AI?" These questions have become increasingly common because [...]

AI Ethics Explained: How to Use Artificial Intelligence Responsibly2026-07-25T14:10:52+00:00

Fine-tuning an LLM for natural Tagalog speech

2026-07-16T10:40:33+00:00

If you're an ML engineer or a technical lead planning to pre-train a large language model (LLM) for Tagalog or Taglish, how do you start? In this article, we walk through the process of defining a target voice, building a data pipeline, running a QLoRA training experiment, and evaluating results with native speakers, so a team can test the idea with a small, well-scoped proof of concept before committing to a larger build.  Why natural Tagalog is harder than correct Tagalog for LLM A general-purpose LLM may produce Tagalog that is grammatically acceptable yet still sound overly formal, translated, or [...]

Fine-tuning an LLM for natural Tagalog speech2026-07-16T10:40:33+00:00

Building Diffender: A Serverless AI Security Reviewer for GitHub Pull Requests with Amazon Bedrock

2026-07-13T20:55:30+00:00

A pull request can pass its tests, satisfy its acceptance criteria, and still expose a production credential in one line of code. Diffender is an Amazon Bedrock pull request reviewer built to identify that kind of risk before the change reaches the main branch. However, human review remains essential, and its depth can vary with workload, time pressure, and security experience. Meanwhile, deterministic scanners provide valuable coverage, although their findings are not always presented in a form that developers can immediately understand and act on. Diffender adds another layer to that review process. It is a serverless GitHub bot that [...]

Building Diffender: A Serverless AI Security Reviewer for GitHub Pull Requests with Amazon Bedrock2026-07-13T20:55:30+00:00

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