Part 1 of the series: the motion foundation everything else grows from - a Strands Agent given motion tools that wrap the Reachy Mini Python SDK, deciding how to move the physical robot in response to a plain-English instruction, run under a hard model-call budget and always left in a safe neutral pose.

Why can the same AI give very different answers? It often comes down to how we ask. In Day 2 of my 7-day Amazon Bedrock learning series, I'm trying five simple prompt techniques using the Playground and Python, with examples you can test yourself. No advanced experience needed.

Explore how AWS cloud services and generative AI can transform academic data into personalized learning insights. This concept demonstrates how Amazon Bedrock, AWS Lambda, Amazon S3, and Amazon QuickSight can support intelligent skill analysis, learning recommendations, and data-driven academic planning.

How I built an incident investigation agent that connects logs, deployment events, and health signals to help developers investigate possible causes without blindly trusting an AI-generated diagnosis.

Explore how Amazon Web Services (AWS) simplifies machine learning through cloud-based tools and services. Learn about Amazon SageMaker, data storage, model training, deployment, and real-world applications of AI and machine learning.

An AWS serverless agent for understanding codebases conversationally. Index any GitHub repo, ask natural questions about architecture and patterns. Built with Lambda, FAISS, and Claude. Emphasizes transparent reasoning over speed.

Discover how Amazon SQS, AWS Lambda, and Amazon SNS help cloud applications manage sudden bursts of work without making every task happen immediately. 🚀 Follow our college examination portal as we explore message queues, asynchronous processing, retries, dead-letter queues, and reliable background tasks!

A debugging companion that uses only Socratic questions-never gives answers first-with a reveal button after 5 questions.

I routed 216 graded requests across Amazon Nova and Claude models with Strands Decider, five LLM classifiers, Bedrock Intelligent Prompt Routing and Bedrock Advanced Prompt Optimization. The decider judged request difficulty perfectly (ROC AUC 1.00 against 0.88 for Claude Sonnet 4.6) but cost about 0.0012 USD and 11 to 13 s per decision on a CPU microVM. Here are the numbers and the rules I now follow for when a decision model should judge and when a small LLM should route.

A calm, conversational agent that answers the one question every AWS beginner is afraid to ask out loud — "will this cost me money?" — in plain English, powered by a single Lambda and Amazon Bedrock.

Gentle home exercise ideas for stroke and mobility recovery-with safety warnings at every step.

As a computer science student, I'm exploring AWS cloud computing, learning core AWS services, and building practical skills for cloud-based projects. Here's my learning plan and why I'm starting with AWS fundamentals.

Discover how I built CloudPilot, an AWS-powered AI copilot that helps developers explore deployment options, understand estimated cloud costs, and review potential risks before making infrastructure decisions. Learn how Amazon Bedrock, AWS Lambda, API Gateway, and Amazon S3 work together to create a practical, safety-conscious cloud assistant.

Explore how AWS services can help a website handle sudden traffic spikes, using a college placement-results announcement as a real-world example.

Explore Amazon S3, its storage features, buckets, and practical uses for storing files and backups in the cloud.

Understand Amazon EC2, its important features, and how virtual servers are used to run applications in the cloud.

Learn the basics of AWS cloud computing, its benefits, popular services, and real-world applications for beginners.

Giving an AI agent access to your AWS account feels like a shortcut until its permissions get out of hand. This article covers five IAM mistakes that turn a helpful assistant into a security risk, and how to fix each one. You will learn to build least-privilege action groups, scope each role to a single job, and use short-lived credentials. You will also see what happens when a poisoned input tricks an over-permissioned agent into acting for an attacker. Copy-ready policy examples are included for each fix.

Learn how to build and deploy a Streamlit chatbot using Amazon Bedrock and Claude 3 Haiku on AWS EC2. This hands-on guide covers environment setup, IAM permissions, Python dependencies, deployment steps, troubleshooting, and making your AI chatbot accessible through a web browser.

Application Using AWS Lambda

Discover how an Amazon Bedrock-powered agent turns terrifying AWS bills into café treats and replaces cloud anxiety with guilt-free, 1-click safe remediation recipes. Learn why empathetic design and plain-English error translations make cloud hygiene something developers actually look forward to.

Most frontend portfolios show what a developer built—but not how they think, test, or ship it. What if your portfolio worked like a tiny production product: responsive, accessible, fast, and deployed on AWS? Here’s a practical blueprint for turning a pretty portfolio into credible proof of frontend and cloud skills.

Reflecting on the successful completion of our second AWS Student Builder Group event at SEUSL, celebrating teamwork, student engagement, and our continued journey to build a stronger technology community. Excited for what’s coming next! ☁️🚀

Are you also afraid to launch an EC2 instance because of unexpected AWS bills? 😰 Not anymore! ☁️ AWS is introducing project-level spend limits to help students and new developers experiment with greater confidence. Read the blog and start your cloud journey without the same fear of surprise bills!

Exam domain covered today: Domain 3, Cloud Technology and Services (34%), with security links to Domain 2.

Descubre cómo superar las búsquedas estáticas con sistemas de IA capaces de razonar, coordinar herramientas y evaluar resultados dinámicamente. Explora patrones, frameworks y un caso práctico serverless paso a paso

Learn what Amazon EC2 is, why it is one of the most important AWS services, and how it works in real life, using a festival-sale online shop example with load balancing and auto scaling, plus how to launch your first instance.

New AI models are changing agentic AI on AWS. Learn why model routing, task complexity, latency, and evaluation matter when building production AI agents.

From Unstructured Text to Reliable AI: Building a Structured Extraction Pipeline with Amazon Bedrock

Learn how AWS Auto Scaling adjusts your EC2 capacity as demand changes—and why it's useful for building flexible cloud applications.

Entenda na prática como funciona o tool use: um agente em Python, sem frameworks, que decide sozinho quando chamar ferramentas externas para responder ao usuário.

As a developer, getting an application to work locally feels like a big achievement. But moving it to the cloud brings a different set of challenges. Here are some things I am learning about deployment, debugging, and thinking beyond the code.

What happens when a data pipeline fails after writing data but before reporting success? In this article, I explore idempotency in data engineering, covering duplicate records, safe retries, incremental loads, and practical strategies for building more reliable data pipelines with SQL and AWS services. Because production-ready pipelines must be designed not only for successful execution, but also for predictable recovery.

When learning AWS, we often start with EC2, but not every website needs a virtual machine.

StudyPilot AI is a friendly AI study coach that creates personalized study plans, explains difficult concepts in simple language, and helps students get unstuck with hints, examples, and exam-focused guidance.

Lambda MicroVMs start fast because they resume from a snapshot, but anything created at build time is shared. Learn what belongs before the freeze, what belongs after the thaw, and the patterns that keep tenants apart.

Our voice agents answer real customer calls, and the worst part of the experience was silence while the agent thought. Here is how we pre-generated filler audio, stored it in Amazon S3, and made the agent answer instantly with a voice that matches the rest of the call.

aws bedrock the basic need for every team to use ai models without deploying or training

Explore how cloud computing and generative AI can work together to build scalable, intelligent applications.

Build an agent, write about, first 100 get $100 in AWS credits. Plus, 10 random entries will get an AWS builder backpack

For a one-day JAWS-UG Kyoto workshop, I set up Rocket.Chat on a t8i.medium EC2 instance behind Amazon CloudFront. I planned to keep the instance stopped until the event, but I still wanted visitors to see a friendly page instead of waiting for an origin timeout. This post explains how a Bash script switches CloudFront between the application and a static maintenance page hosted in Amazon S3, using a CloudFront Function to rewrite request paths.

Discover how AWS AI services help developers build intelligent applications, automate workflows, analyze data, and create generative AI solutions using Amazon Bedrock, Amazon SageMaker AI, and AWS Lambda.

StepUp was created to transform a simple daily walk into a shared experience. Through step tracking and leaderboards, the application encourages users to support and motivate one another while working toward healthier lifestyles.

Implementing HTTP response streaming behind API Gateway without writing a custom JVM runtime or adding Lambda layers.

رحلتي في تطوير نظام كاشير سعودي وإطلاق بطاقتي التقنية مع أمازون. | My journey in software development, creating a ZATCA-compliant Saudi POS system, and launching my AWS ID.

SentriPrint is our student-built IoT attendance system for the AWS Student Builders Group, replacing paper sign-ins and queues with fingerprint check-in. It uses an AS608 sensor, an ESP32, and a FastAPI backend on AWS EC2. We learned that "using AWS" isn't enough: networking, file permissions, and Nigeria's 2023 Data Protection Act matter. After fixing 403/500 errors and read-only SQLite, we'd harden it with RDS, ALB, HTTPS, IAM roles, and containers.

Small teams that run API tests daily now pay per seat for Postman. This guide covers the 2026 plans, which runs count against your monitoring limits, typical costs for a five to eight person team, and how to keep the bill predictable.

A lightweight, open-source desktop interface designed to run and orchestrate local AI coding agents with zero telemetry, git checkpoints, MCP support, and parallel multi-agent workflows.

A follow-up to "Meet Deliberation": what changed between v3.5.2 and v3.28.0, and why the numbers only started changing my config once I could see each run.

Modern AWS applications rarely fail because a single service stops working. They fail when assumptions about timing, duplicate events, ordering, and state quietly break. This article explores how to make those hidden contracts explicit when designing event-driven systems on AWS.