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Artificial Intelligence

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AppBuildersPH 2026: Drawn to Victory

, 2026-11-03T15:03:11+00:00

Some drawings find their place on refrigerators. Others are tucked away in folders, kept as reminders of a childhood imagination that knows no bounds. But for one Filipino father, a child's drawing became something far greater, an inspiration behind a grand championship. Among 1,270 builders and 281 projects submitted to the first AppBuildersPH 2026 Hackathon, a creation inspired by a seven-year-old boy captured the top prize. Behind it was Arnel Forbes, a full-time software engineer, a father, and a first-time hackathon participant who competed entirely on his own. His creation, Guhit, transforms children's drawings into interactive characters capable of moving, [...]

AppBuildersPH 2026: Drawn to Victory, 2026-11-03T15:03:11+00:00

Build an 8-Bit AI Architecture Generator (Next.js & Groq)

2026-10-02T02:48:22+00:00

Have you ever wanted to build a completely custom AI Architecture Generator, but got stuck trying to force a language model to output perfectly valid diagram syntax? Downloading a standard flowchart library is rarely plug-and-play. You wire up the code, run it, and immediately hit walls, from struggling to prevent the AI from hallucinating Markdown wrappers to fighting stubborn canvas elements where text overlaps and ruins your sequence diagrams. In this beginner-friendly tutorial, we will walk through how to build "Capsule," a production-ready, gamified AI Architecture Generator. Users simply type a prompt, and the application streams back a fully rendered, [...]

Build an 8-Bit AI Architecture Generator (Next.js & Groq)2026-10-02T02:48:22+00:00

How to Build an AI-Powered Django Notes App for Free

2026-09-19T01:45:10+00:00

  Have you ever wanted to build a completely custom AI-powered note-taking app, but got stuck trying to make the backend talk to modern language models?   Downloading a starter Django repository is rarely plug-and-play. You clone the code, run it, and immediately hit walls, from struggling to securely load your API keys to fighting stubborn CSS themes that refuse to toggle correctly.   In this tutorial, we will walk through how to take a baseline Django note-taking architecture, run it locally step-by-step, and seamlessly integrate Groq’s specialized language models for instant AI summarization. We will also cover how to [...]

How to Build an AI-Powered Django Notes App for Free2026-09-19T01:45:10+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

Automating Publications with Claude, Canva, and n8n

2026-08-19T08:15:15+00:00

Every business that runs a social media page knows the same repetitive cycle. Pick a topic. Write a caption. Design a graphic. Post it on schedule. Repeat tomorrow. Multiply that by every campaign, every seasonal push, every recurring content series, and it becomes a real operational cost, not just a marketing task. That repetitive cycle is exactly what a project called Automating Publications was built to solve. It is a working, experimental content pipeline built with Claude, Canva, Slack, Google Drive, and n8n, and it is a useful reference for any business or enterprise team thinking about applying AI to [...]

Automating Publications with Claude, Canva, and n8n2026-08-19T08:15:15+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

Everything You Need to Know About Harness Engineering

2026-07-13T20:21:29+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 and call five tools. It can make a hundred small decisions before it ever shows you a result. That is a different animal from a chatbot answering one question. In my experience following this shift, it also 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 [...]

Everything You Need to Know About Harness Engineering2026-07-13T20:21:29+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

AWS Data and AI Journey: Building Agentic AI Systems

2026-05-25T16:14:40+00:00

Stage 5 of the AWS Data and AI Journey: Building Agentic AI Systems Building agentic AI systems is the next frontier for organizations that have already laid the groundwork with a modern data foundation, governed pipelines, and enterprise-wide generative AI. This is where agentic AI enters the picture. Generative AI systems can answer questions, summarize documents, and generate content. Agentic AI goes further by enabling systems to reason through tasks, interact with tools, make decisions, coordinate workflows, and complete multi-step objectives with limited human intervention. Instead of acting only as assistants, AI systems begin operating more like autonomous digital workers [...]

AWS Data and AI Journey: Building Agentic AI Systems2026-05-25T16:14:40+00:00

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