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Tutorials, how-tos and deep dives on AI, .NET, C#, cloud and developer tools, written by the community.
Learn how CrewAI leverages the BedrockInvokeAgentTool and AWS protocols to call Bedrock models and agents seamlessly—keeping data in your VPC, enforcing IAM policies, and blending CrewAI logic with Bedrock compute.
CrewAI is fully model-agnostic, enabling you to plug in any foundation model—whether hosted in Amazon Bedrock or elsewhere—using standard protocols.
Discover the 8 types of teams and professionals who benefit most from CrewAI’s multi-agent orchestration—AI engineers, dev teams, DevOps, RPA practitioners, startups, data-driven enterprises, product innovators, and consultancies.
Explore eight benefits of CrewAI for multi-agent applications, including orchestration, AWS Bedrock integration, security, scalability, model flexibility, and built-in tools.
Explore the key differences between Generative AI, AI Agents, and Agentic AI, and understand how each transforms content creation, task automation, and strategic decision-making for modern businesses.
A hands-on review of GitHub Copilot Agent in a real-world ASP.NET 8 project with 123k+ SLOC. Covers AI code reviews, method generation, tool limitations, and major improvements over past versions.
Learn how AI agents use memory, tools, and planning to retain context, take actions, break down tasks, and improve responses.
Learn to build an Amazon Bedrock Agent for library management using knowledge bases, Amazon S3, OpenSearch, AWS Lambda action groups, and foundation models.
Explore Devin AI, Cognition's autonomous software engineering agent, its development capabilities, potential impact on developers, and key ethical and workforce concerns.
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