Building a VPC structure from scratch.

Best AWS consulting companies trusted by global enterprises for cloud migration, DevOps, security, and cost optimization.

Serverless is good, serverless is cool, serverless is innovative. But how far can we push with its uses? Let's navigate some ups and downs around serverless technology.

AWS Savings Plans vs Reserved Instances explained in simple terms. Compare costs, flexibility, and use cases to choose the best AWS pricing model.

Spec-driven review of AWS Kiro IDE using Claude Sonnet 4.5 to build features within Next.js.

Building Production-Ready AI Agents with AWS Strands: A Practical Guide

Retro Revival is a multi-game retro hub inspired by classic titles like Snake, Tetris, and Minesweeper, built with a Windows-95 style UI and enhanced with modern AI assistants. The project blends nostalgic gameplay with intelligent hints, explainable AI, and robust state management to demonstrate complex logic, determinism, and transparency in interactive systems.

Organização de AWS recursos

How to build an AI API with streaming in less than 50 lines of code. Using streaming in API Gateway and LangChain's .stream() method.

CORE DUMP is a retro CRT-style crash diagnostic console where players analyze CPU registers, memory dumps, and stack traces while an adaptive AI actively sabotages their debugging instincts. Built entirely client-side, it revives 1980s system diagnostics with modern explainable AI and complex game logic.

Build Intelligent AI Agents with Amazon Bedrock & Strands agent framework

A deep dive into building a feature-rich Tetris game with advanced animations, physics, and game logic using Kiro.

Over the past weeks, I completed a comprehensive AI Agent Mastery workshop, progressing from first principles to multi-agent architectures and production deployment on AWS. This journey covered 13 hands-on tutorials, multiple agent patterns, real-world use cases, and an end-to-end deployment using AWS services—while also exploring cost-efficient local model alternatives.

The Secret AI Crew Behind MerryMingle

his project transforms the classic Snake game with Open source AI-driven intelligence, heuristic automation, and interactive gameplay, showcasing a seamless blend of real-time machine learning and traditional game mechanics.

Reviewing, evaluating, and proposing a solution to the WAP data quality pattern in its two-phase version—the classic model—to apply it in a data pipeline work in streaming way.

Reviving a Classic Game with Modern AI Logic

Revisando, evaluando y proponiendo una solución al patrón de calidad de datos WAP en las version de 2 fases, que es el modelo clasico, para aplicarlo en un data streaming pipeline.

This article summarizes my hands-on experience building intelligent AI agents using Amazon Bedrock and Strands Agents as part of AI for Bharat Workshop 4, covering agent orchestration, tool usage, and streaming responses.

Veja uma análise detalhada do caso real onde um pull request de 13.000 linhas gerado por IA foi rejeitado no projeto OCaml, revelando os desafios críticos do desenvolvimento assistido por inteligência artificial. O artigo explora como "código que funciona" não é suficiente em projetos colaborativos e apresenta o Renaissance Developer Framework apresentando pelo Dr. Werner Vogels como uma alternativa para navegação responsável na era da IA.

My 2-year journey, real benefits, 2026 application tips, real experiences, and how this program can accelerate your cloud career

Describes how to adapt the AgentEvolver self-evolving agent system to work with Amazon Bedrock.

This article explains how I recreated the classic Snake game with a modern AI twist using Kiro, showcasing adaptive difficulty, intelligent player assistance, and complex game logic.

Learn how Kiro implements spec-driven development to transform AI coding from vibe coding to structured workflows. Erik Hanchett and Nikhil Swaminathan demonstrate how to build production-ready applications with clear documentation, property-based testing, and audit trails.

A step-by-step engineering journey into building an AI-powered Minesweeper that explains its reasoning using constraint satisfaction, probability modeling, and property-based testing.