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AWS Developers

@awsdevelopers

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🚀 We’re here to connect developers with AWS experts, share dev-focused content & resources, and celebrate the #AWSCommunity.

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Trust issues with AI code? We get it. 😅

That's why we built AI Functions, the first experiment from Strands Labs, our new GitHub org for agentic AI.

How it works:
- Describe your function in natural language
- Set your validation rules
- AI writes, tests, retries until it passes

So if you need to transform data from multiple vendors with inconsistent formats... AI Functions will handle format detection, write the logic, and give you back validated results.

This is how we move toward deploying with confidence🤝

Try it today with the link in bio 🔗

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5 months ago

⏰ This is your last chance to submit your AI idea for the AWS 10,000 AIdeas Competition

🚨 Submissions close January 21 - that's just 6 days away

Here's what you need to know:

🏆 $250K prize pool waiting for the right ideas
💡 No coding required yet - just bring your concept and vision
☁️ Build using AWS Free Tier and Kiro
📅 Registration deadline: January 21, 2026

Don't overthink it. Don't wait. Your idea deserves more. This competition is your chance to turn that spark into something real.

Submit now before it's too late.

Link in bio 🔗

Save + share with a friend who should participate 😏

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6 months ago

🚨 The AWS Community Builders application is officially open!

This program is your gateway to transforming your cloud career, even if you're still learning.

What makes AWS Community Builders special:
🎯 You don't need to be an expert to apply
💰 $500 AWS credits for personal projects
🎫 Discounted AWS re:Invent tickets
📜 A free AWS certification voucher
⚡ Learn about new services and features
🎒 Exclusive training, events, and premium swag

But here's what Community Builders say matters most: the people 🌐 🤝

You'll connect with builders at every experience level, some learning alongside you, others ready to help and guide your growth. These relationships grow over time, opening doors and creating opportunities you never expected.

The program accepts a limited number of members each year, and applications happen just once annually. Don't miss your chance!

🔗 Check out the application via the link in bio

Follow @awsdevelopers for more cloud content

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🏷 #AWSCommunity #CloudComputing #AWSCertified

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7 months ago

🚨 90% of AI agents never make it to production. Here's how to be in the 10% in 2026.

We've created a FREE 4-course learning path that takes you from building your first agent to deploying production-ready agent systems.

What you'll learn:
✅ Course 1: Getting Started with Strands Agents: Build Your First AI Agent
✅ Course 2: Advanced Strands Agents with MCP
✅ Course 3: Building Multi Agent Systems with Strands Agents
✅ Course 4: Deploying Strands Agents with Amazon Bedrock AgentCore

These courses cover the practical foundation for building agents that actually work in production.

🔗 Hands-on with Strands Agents and Amazon Bedrock AgentCore
📦 Complete GitHub repos ready to run
🎯 From fundamentals to enterprise deployment

Ready to join the 10% this new year? Check out the link in bio to get started 🔗

#AIAgents #AgenticAI #AI #MachineLearning

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7 months ago

Build Multi-Modal AI Agents in Minutes ⏰

Struggling with complex AI agent setup? The Strands Agents SDK open-source framework makes production-ready AI development simple and accessible.

Strands Agents SDK provides:
🔄 Agentic Reasoning Loop – The model reasons, selects tools, executes them, and iterates until task completion—enabling multi-step problem solving with accumulated context
📸 Multi-Modal Built-in – Process images and documents out of the box
🔧 Provider Agnostic – Amazon Bedrock, OpenAI, Anthropic, and more, or local models
⚡ Production-Ready – Deploy to AgentCore, Lambda, EKS, EC2, Fargate or your own infra.
🔒 Enterprise Security – Seamless integration with guardrails and observability

In just a few minutes, watch how Elizabeth creates an agent that can:
✓ Analyze architecture diagrams automatically
✓ Process and summarize technical documentation
✓ Extract structured JSON from unstructured content

🔗 Full tutorial, code samples, and ready-to-run notebooks available via link in bio

#AmazonBedrock #generativeAI #MultiModalAI #OpenSource #AIAgents

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7 months ago

AWS announced P6e-GB200 UltraServers powered by NVIDIA's Grace Blackwell GPUs - these are massive servers designed for training trillion-parameter AI models

The interesting part? They're only available in the Dallas Texas Local Zone

What's a Local Zone? AWS Local Zones extend AWS services to more locations, bringing compute power closer to users for latency-sensitive applications like LLM inferencing

🔧 Why this matters for AI development:
• Reduced latency for real-time AI applications
• Massive computational power for training large models
• Geographic proximity to your users and data

🎯 Perfect for developers working on:
• Large language model training
• AI inference applications
• Latency-critical AI workloads

🔗 Learn more about Local Zones via link in bio

Follow @awsdevelopers for more cloud content
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🏷 #generativeAI #ArtificialIntelligence #MachineLearning #CloudComputing #Tech

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7 months ago

Can these Developer Advocates build a complete game from scratch in 60 minutes? 👀 🎮

Using only AI for assistance, watch Erik and Du'An tackle this challenge! 💻

The prompt? Create a full-stack Pictionary-style app with:

- Vue.js/Next.js frontend
- Python Flask backend
- Amazon Nova for AI image generation
- Amazon Bedrock for intelligent responses

🔗 Watch the full challenge via link in bio

Follow @awsdevelopers for more cloud content

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🏷️ #Kiro #AmazonBedrock #AmazonNova #Python #vuejs #generativeAI #AICoding

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7 months ago

🚀 Deploy large #AI models on AWS with a single command.

Meet Easy Model Deployer (EMD) — an open-source tool that turns complex GPU setup, containers, networking, and infrastructure provisioning into a simple one-step workflow.
With EMD, you can:
• Deploy 90+ open-source models (LLMs, VLMs, embeddings, speech, video)
• Choose inference engines like vLLM, TGI, Ollama, and LMDeploy
• Run on #SageMaker, ECS, or EC2
• Get an OpenAI-compatible API out of the box
• Go from model selection to a production-ready endpoint in minutes

🎥 Watch the video to see how it works — and deploy your first model today.

Try EMD with the link in bio 🔗

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7 months ago

Power your workloads with new 8th generation EC2 instances with custom Intel Xeon 6 processors, exclusively on AWS. From C8i to R8i, you can reign over your resources with flex variants that adapt to your command.

Visit link in bio to learn more 🔗

Follow @awsdevelopers for more cloud content

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#AWS #CloudComputing

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8 months ago

Looking to level up your #cloud journey? ☁️

Here are 3 ways to find your people in the #AWSCommunity:

- AWS User Groups – your local cloud squad
- AWS Community Builders – mentorship, learning & that iconic jacket
- AWS Cloud Clubs – where students build, code & grow together

Because learning is better when you do it together. 🤝

Visit link in bio to find your community 🔗

Follow @awsdevelopers for more cloud content

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🏷#AWS #BuildOnAWS #CloudLearning #Developers #TechCommunity

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8 months ago

Wanna learn more about abundant wet socks (AWS)? Check out my bio @awsdevelopers @amazonwebservices #awsdevelopers #ad

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8 months ago

AWS re:Invent Day 3: AWS just solved real agentic AI pain points—memory, security, and evaluation. No more blank-slate agents. Episodic Memory means they learn from experience (e.g., family trips = arrive 2+ hours early).
Policy controls? Now you can enforce guardrails.
Evals? Test agents across thousands of scenarios before going live.

Also dropped:
🔁 RFT in Bedrock (66% accuracy gains, no PhD needed)
🛠️ Serverless model customization in SageMaker
🧩 TypeScript support for Strands SDK
The tooling is finally here to build agents that are smart, safe, and production-ready.

Which capability removes your biggest roadblock? 👇

Link in bio for more 🔗

#AWSreInvent #AgentCore #generativeAI #AWS #AIAgents

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8 months ago