Building Local and Serverless LLM Agents: airhacks.live
Details
Join Adam Bien (linkedin.com/in/adam-bien) for a hands-on workshop for a hands-on workshop on turning ideas into production-ready Java code with LLMs and agents. Learn how to go from ideas to structured specs, and specs to deployable, consistently structured Java code grounded in best practices. Accelerated and incrementally refined at every step by LLMs and agents.
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Learn how to (checkout full agenda: *https://airhacks.live*):
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Building zero-dependency business agents with zsmith
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Single-file agent scripts with no build step
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The agentic loop explained from the source
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Composing tools, profiles, and custom schemas
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Tool permissions and safe execution control
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Skills as portable prompt snippets
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Episodic memory persisted across runs
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Subagents and parallel delegation
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Serving local agents over HTTP
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Local on-device inference
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Provider swapping without code changes
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Built-in agent observability
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Building agents with MicroProfile (Quarkus)
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The tool-calling loop hidden by AI Services
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Composing tools as annotated CDI beans
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Persistent chat memory across sessions
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Streaming responses to the client
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Structured outputs mapped to records
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Guardrails for input and output
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Local inference with Ollama
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Model provider swapping via configuration
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Observability with OpenTelemetry and Micrometer
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Exposing agents over the Agent2Agent (A2A) protocol
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Testing LangChain4j agents
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Serverless agents on AWS Bedrock AgentCore Runtime
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The agent loop run by AgentCore Runtime
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Exposing Lambda tools via AgentCore Gateway
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Short-term and long-term AgentCore Memory
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Tool access secured with Cognito and JWT
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MCP-based tool access over the gateway
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Managed cloud inference with Bedrock models
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Foundation model swapping via configuration
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Containerizing zsmith or Quarkus agents with CDK
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Cloud observability with CloudWatch tracing
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From local script to serverless deployment
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(TBD)
Full agenda: https://workshops.adam-bien.com/building-local-and-serverless-llm-agents.htm
