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Danilo Poccia profile picture

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

Work

Chief Evangelist (EMEA) at AWS

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

23
Comments 5
5 min read

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Token Counting Meets Amazon Bedrock
Cover image for Token Counting Meets Amazon Bedrock

Token Counting Meets Amazon Bedrock

4
Comments
4 min read
Building Production-Ready AI Agents with LangGraph and Amazon Bedrock AgentCore
Cover image for Building Production-Ready AI Agents with LangGraph and Amazon Bedrock AgentCore

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

8
Comments
9 min read
Building Production-Ready AI Agents with LlamaIndex and Amazon Bedrock AgentCore
Cover image for Building Production-Ready AI Agents with LlamaIndex and Amazon Bedrock AgentCore

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

7
Comments 1
9 min read
Building Production-Ready AI Agents with Pydantic AI and Amazon Bedrock AgentCore
Cover image for Building Production-Ready AI Agents with Pydantic AI and Amazon Bedrock AgentCore

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

3
Comments
10 min read
Building Production-Ready AI Agents with CrewAI and Amazon Bedrock AgentCore
Cover image for Building Production-Ready AI Agents with CrewAI and Amazon Bedrock AgentCore

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

3
Comments
11 min read
Building Production-Ready AI Agents with Strands Agents and Amazon Bedrock AgentCore
Cover image for Building Production-Ready AI Agents with Strands Agents and Amazon Bedrock AgentCore

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

3
Comments
11 min read
Building Production-Ready AI Agents: A Multi-Framework Journey with Amazon Bedrock AgentCore
Cover image for 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

16
Comments
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

14
Comments 8
7 min read
Automated reasoning and generative AI: Harness creativity with formal verifications
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Automated reasoning and generative AI: Harness creativity with formal verifications

8
Comments 2
12 min read
Takeaways from the DeepSeek-R1 model
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Takeaways from the DeepSeek-R1 model

39
Comments 1
3 min read
Testing AI-Powered Apps: Introducing LLM Test Mate
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Testing AI-Powered Apps: Introducing LLM Test Mate

9
Comments 1
5 min read
Beyond Traditional Testing: Addressing the Challenges of Non-Deterministic Software
Cover image for Beyond Traditional Testing: Addressing the Challenges of Non-Deterministic Software

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

24
Comments 2
15 min read
Open Source Frameworks for Building Generative AI Applications
Cover image for Open Source Frameworks for Building Generative AI Applications

Open Source Frameworks for Building Generative AI Applications

7
Comments 2
3 min read
AI-assisted software development lifecycle
Cover image for AI-assisted software development lifecycle

AI-assisted software development lifecycle

100
Comments 6
6 min read
KNN Search Algorithm Comparison: Optimizing Vector Databases for LLMs and RAG
Cover image for KNN Search Algorithm Comparison: Optimizing Vector Databases for LLMs and RAG

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

10
Comments
11 min read
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