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About Cristieneil Ceballos

Cristieneil Ceballos, “Cris” for short, is a Computer Science student at the University of the Philippines Mindanao and an IT Intern at Tutorials Dojo. Passionate about continuous learning, she volunteers and engages with various tech communities—viewing each experience as both a chance to contribute and an opportunity to explore areas she’s interested in.

Amazon Quick Sight Sheet Tooltips: Enhancing Data Storytelling and Dashboard UX

2026-04-29T06:08:05+00:00

Modern organizations use data visualization tools for critical decisions. Dashboards simplify complex datasets, turning millions of rows of raw data into digestible formats. Still, users often view a dashboard and feel they aren't seeing the whole picture. Dashboards often lack immediate context, resulting in a frustrating user experience. Analysts must constantly switch between views, tabs, and reports just to understand the insights. To solve this, AWS introduced Sheet Tooltips in Amazon Quick Sight, a powerful feature that enables richer, more interactive data storytelling in a single dashboard view. The Problem with Traditional Dashboards While business intelligence (BI) has evolved significantly, [...]

Amazon Quick Sight Sheet Tooltips: Enhancing Data Storytelling and Dashboard UX2026-04-29T06:08:05+00:00

Tech Debt in the AI Era

2026-04-02T17:30:43+00:00

Every software team knows the feeling. You ship fast to hit a deadline, planning to clean it up late, but "later" never comes. Soon, quick fixes pile up, and instead of saving time, you’re spending more than you planned. That’s technical debt in a nutshell — and it’s not going away anytime soon. What is changing is how we manage and deal with it. Modern systems are more distributed, interconnected, and increasingly powered by AI. In this environment, periodic clean-ups, manual code reviews, and occasional rewrites aren’t enough. Costs compound faster, dependencies deepen, and risks become harder to trace. So [...]

Tech Debt in the AI Era2026-04-02T17:30:43+00:00

Are AI Engineers the New Full-Stack Developers?

2026-03-03T17:56:14+00:00

Something has been quietly shifting in the tech industry. Job titles that used to sit in completely separate corners of a hiring platform are starting to blur together, and engineers on both sides are feeling it. The full-stack developer who's suddenly expected to integrate LLMs. The AI engineer who's now responsible for the frontend, too. But this shift didn’t happen overnight. Compare job postings from three years ago to today, and the difference is hard to ignore. Responsibilities are expanding. Skill expectations are overlapping. And a question that used to sound hypothetical is now very much worth taking seriously: Are [...]

Are AI Engineers the New Full-Stack Developers?2026-03-03T17:56:14+00:00

Amp Up Your Game with AWS Amplify: Deploy and Authenticate Your First App

2026-02-01T11:54:43+00:00

As an active student volunteer in various organizations, specifically as a Logistics Member, I know firsthand how overwhelming the work can get. When tasks come pouring in, booking venues, buying supplies, and tracking receipts, it is easy to lose track of the details. To solve this, I decided to build a solution. That's how Fin-N-Log (short for Finance and Logistics) was born—a personal dashboard to track logistics expenses and to-do lists. My goal was simple: reduce stress and eliminate manual checking for student volunteers like me. In this guide, I'll show you exactly how I built and deployed this tracker [...]

Amp Up Your Game with AWS Amplify: Deploy and Authenticate Your First App2026-02-01T11:54:43+00:00

Amazon Bedrock Runtime

2026-01-07T13:42:57+00:00

Bookmarks Amazon Bedrock Runtime Actions Key Data Types Inference Concepts Security Pricing Amazon Bedrock Runtime Cheat Sheet Amazon Bedrock Runtime is a high-performance, serverless API that enables developers to make inference requests to Foundation Models (FMs) available in Amazon Bedrock. It serves as the primary runtime interface for building generative AI applications, supporting use cases including text generation, multi-turn conversations, real-time streaming, image generation, embeddings, and more. The API is optimized for low latency and high throughput and provides unified access across multiple model providers.   Amazon Bedrock [...]

Amazon Bedrock Runtime2026-01-07T13:42:57+00:00

Amazon Bedrock API Reference

2026-01-07T13:33:19+00:00

Bookmarks Amazon Bedrock API Reference Common Parameters Amazon Bedrock API Reference Common Errors API Endpoint Structure Best Practices Amazon Bedrock API Reference Sheet Amazon Bedrock API Reference is the master specification for the Amazon Bedrock service. It encompasses protocols, authentication methods, endpoints, common parameters, and error-handling standards used across the entire Bedrock ecosystem (both the Control Plane and the Data Plane).   Amazon Bedrock API Reference Common Parameters Action: (String) Specifies the particular API action to be performed. Version: (String) Indicates the API version used for the request, formatted as [...]

Amazon Bedrock API Reference2026-01-07T13:33:19+00:00

Amazon Bedrock Prompt Management

2025-12-30T14:14:17+00:00

Bookmarks Core Concepts Supported Regions and Models Prerequisites Creating a Prompt Viewing Prompt Information Modifying a Prompt Testing a Prompt Optimizing a Prompt Deployment using Versions Deleting a Prompt Security Best Practices Pricing Amazon Bedrock Prompt Management Cheat Sheet Amazon Bedrock Prompt Management is a centralized prompt management system for generative AI, enabling easy creation, testing, versioning, and deployment of structured prompts while separating prompt engineering from application code. It offers key [...]

Amazon Bedrock Prompt Management2025-12-30T14:14:17+00:00

Amazon Titan

2025-12-30T14:40:34+00:00

Bookmarks Features Use Cases Amazon Titan Text Models Amazon Titan Text Embeddings Models Amazon Titan Multimodal Embeddings G1 Model Amazon Titan Image Generator G1 Models Pricing Amazon Titan Cheat Sheet Amazon Titan models are a family of powerful, general-purpose models pre-trained by AWS on massive datasets. They are designed to be used out of the box or fine-tuned with your own data, allowing you to adapt them for specific tasks without the need to annotate large volumes of training data. The Titan family consists [...]

Amazon Titan2025-12-30T14:40:34+00:00

AWS Strands Agents

2025-12-30T14:06:23+00:00

Bookmarks Key Features Use Cases Implementation Approach for Strands Agents Real World Examples of Strands Agents Agents Tools Model Providers Streaming Multi-Agent Safety and Security Observability and evaluation Strands Agents vs. Strands Agents SOPs Pricing AWS Strands Agents Cheat Sheet AWS Strands Agents is an open-source SDK that enables developers to build, test, and deploy AI agents by simply defining a prompt and a list of tools in code. True to its [...]

AWS Strands Agents2025-12-30T14:06:23+00:00

AWS Agent Squad

2025-12-30T14:03:07+00:00

Bookmarks Key Features Use Cases How AWS Squad Agents Work Agents Supported (Built-in Agents) Core Concepts Pricing AWS Agent Squad Cheat Sheet An open-source framework for orchestrating and routing user queries across multiple specialized AI agents. It uses LLM-based intent classification to dynamically assign tasks to the best-suited agent, such as Amazon Bedrock models, Lex bots, or Lambda functions, while maintaining unified conversation context for seamless interactions.   Key Features Intelligent Intent Classification: Dynamically routes queries to the most suitable agent by analyzing context and content. [...]

AWS Agent Squad2025-12-30T14:03:07+00:00

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