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Danilo Poccia

Chief Evangelist (EMEA) @AWSCloud. Serverless, IoT, AI/ML. Few pics, some music. My opinions. Complexity is a science. http://pronoun.is/he

Location London, UK Joined Joined on  Personal website https://danilop.net github website twitter website

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Chief Evangelist (EMEA) at AWS

Python
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From prompt engineering to agent experience

From prompt engineering to agent experience

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5 min read

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How I Used Kiro to Optimize Its Own MCP Configuration

How I Used Kiro to Optimize Its Own MCP Configuration

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5 min read
Exploring the OpenAI-Compatible APIs in Amazon Bedrock: A CLI Journey Through Project Mantle

Exploring the OpenAI-Compatible APIs in Amazon Bedrock: A CLI Journey Through Project Mantle

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8 min read
Building a Semantic Storage for Humans and AI Agents

Building a Semantic Storage for Humans and AI Agents

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10 min read
Strands Agents now speaks TypeScript: A side-by-side guide

Strands Agents now speaks TypeScript: A side-by-side guide

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7 min read
Modernizing Python Projects: Converting requirements.txt to uv in One Command

Modernizing Python Projects: Converting requirements.txt to uv in One Command

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7 min read
Never Forget a Thing: Building AI Agents with Hybrid Memory Using Strands Agents

Never Forget a Thing: Building AI Agents with Hybrid Memory Using Strands Agents

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10 min read
Visualizing AI Agent Memory: Building a Web Browser for Amazon Bedrock AgentCore Memory

Visualizing AI Agent Memory: Building a Web Browser for Amazon Bedrock AgentCore Memory

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5 min read
Token Counting Meets Amazon Bedrock

Token Counting Meets Amazon Bedrock

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4 min read
Building Production-Ready AI Agents with LangGraph and Amazon Bedrock AgentCore

Building Production-Ready AI Agents with LangGraph and Amazon Bedrock AgentCore

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9 min read
Building Production-Ready AI Agents with LlamaIndex and Amazon Bedrock AgentCore

Building Production-Ready AI Agents with LlamaIndex and Amazon Bedrock AgentCore

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9 min read
Building Production-Ready AI Agents with Pydantic AI and Amazon Bedrock AgentCore

Building Production-Ready AI Agents with Pydantic AI and Amazon Bedrock AgentCore

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10 min read
Building Production-Ready AI Agents with CrewAI and Amazon Bedrock AgentCore

Building Production-Ready AI Agents with CrewAI and Amazon Bedrock AgentCore

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11 min read
Building Production-Ready AI Agents with Strands Agents and Amazon Bedrock AgentCore

Building Production-Ready AI Agents with Strands Agents and Amazon Bedrock AgentCore

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11 min read
Building Production-Ready AI Agents: A Multi-Framework Journey with Amazon Bedrock AgentCore

Building Production-Ready AI Agents: A Multi-Framework Journey with Amazon Bedrock AgentCore

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6 min read
Amazon AGI announces research preview of Amazon Nova Act: Build agents that take action in web browsers 00:52

Amazon AGI announces research preview of Amazon Nova Act: Build agents that take action in web browsers

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7 min read
Automated reasoning and generative AI: Harness creativity with formal verifications

Automated reasoning and generative AI: Harness creativity with formal verifications

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12 min read
Takeaways from the DeepSeek-R1 model

Takeaways from the DeepSeek-R1 model

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3 min read
Testing AI-Powered Apps: Introducing LLM Test Mate

Testing AI-Powered Apps: Introducing LLM Test Mate

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5 min read
Beyond Traditional Testing: Addressing the Challenges of Non-Deterministic Software

Beyond Traditional Testing: Addressing the Challenges of Non-Deterministic Software

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15 min read
Open Source Frameworks for Building Generative AI Applications

Open Source Frameworks for Building Generative AI Applications

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3 min read
AI-assisted software development lifecycle

AI-assisted software development lifecycle

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6 min read
KNN Search Algorithm Comparison: Optimizing Vector Databases for LLMs and RAG

KNN Search Algorithm Comparison: Optimizing Vector Databases for LLMs and RAG

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11 min read
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