Guía de sección

Hands-On Labs

Lee estos chapters en orden para conectar conceptos, patterns, labs y criterios de producción.

Orden de lectura

18 chapters
  1. 01
    Lab Guide Lab · Hands-on 45-90 min lab Builder · Student

    The lab guide explains how to use runnable examples to connect patterns to code, tests, traces, and production gaps.
  2. 02
    Framework and Language Matrix Lab · Hands-on 45-90 min lab Builder · Student

    The framework and language matrix maps each lab to its language, framework style, runtime concern, and expected evidence.
  3. 03
    Lab Production Readiness Checklist Lab · Hands-on 45-90 min lab Builder · Student

    The lab checklist helps turn working demos into production candidates by naming the missing controls, evals, traces, and runbooks.
  4. 04
    01 - Tool-Using Agent Lab · Hands-on 45-90 min lab Builder · Student

    Lab 01 builds the smallest useful tool boundary: validate a proposed call, execute through code, label trust, and return structured results.
  5. 05
    02 - Agent Loop and Planning Lab · Hands-on 45-90 min lab Builder · Student

    Lab 02 separates planning from execution so the planner proposes steps while bounded code runs operations and records results.
  6. 06
    03 - Agentic RAG Lab · Hands-on 45-90 min lab Builder · Student

    Lab 03 builds an Agentic RAG boundary with scoped retrieval, grounded answers, and refusal or escalation when evidence is weak.
  7. 07
    04 - A2A Communication Lab · Hands-on 45-90 min lab Builder · Student

    Lab 04 builds typed agent-to-agent messages with correlation IDs, acceptance, refusal, errors, and cancellation states.
  8. 08
    05 - Multi-Agent Supervisor Lab · Hands-on 45-90 min lab Builder · Student

    Lab 05 builds a supervisor shape where one coordinator owns the goal, delegates bounded work, merges outputs, and produces the final answer.
  9. 09
    06 - Observability and Evals Lab · Hands-on 45-90 min lab Builder · Student

    Lab 06 adds trace data, regression tasks, expected outcomes, and trajectory checks to evaluate behavior beyond final answers.
  10. 10
    07 - Mastra Runtime Packaging Lab · Hands-on 45-90 min lab Builder · Student · Operator

    Lab 07 packages agents, tools, workflows, memory, trace events, and evals in a Mastra-style TypeScript runtime shape.
  11. 11
    08 - CrewAI Flows and Crews Lab · Hands-on 45-90 min lab Builder · Student

    Lab 08 uses a CrewAI-style Python shape to separate flow ownership from specialist crew collaboration.
  12. 12
    From-Scratch Mini-Framework Track Lab · Hands-on 45-90 min lab Builder · Student

    The from-scratch track builds a minimal agent runtime so engineers can see the framework ideas without framework magic.
  13. 13
    09 - Minimal Agent Loop Lab · Hands-on 45-90 min lab Builder · Student

    Lab 09 builds a minimal loop that receives a goal, asks for a typed decision, updates state, and stops for an explicit reason.
  14. 14
    10 - Tool Registry and Policy Gate Lab · Hands-on 45-90 min lab Builder · Student · Security

    Lab 10 extends the mini-runtime with a tool registry and policy gate so software decides whether a proposed tool call may run.
  15. 15
    11 - Context, Memory, Trace, and Evals Lab · Hands-on 45-90 min lab Builder · Student

    Lab 11 makes the mini-runtime inspectable with context packets, scoped memory reads, trace events, and trajectory evals.
  16. 16
    12 - LangGraph State Graph Lab · Hands-on 45-90 min lab Builder · Student

    Lab 12 models LangGraph-style state graphs with explicit state, nodes, edges, checkpoints, interrupts, and resume behavior.
  17. 17
    13 - AutoGen Transcript Evals Lab · Hands-on 45-90 min lab Builder · Student

    Lab 13 evaluates AutoGen-style team transcripts so multi-agent collaboration has reviewable messages, turn order, and stop reasons.
  18. 18
    Vertical Slice Examples Lab · Hands-on 45-90 min lab Builder · Student

    Vertical Slice Examples show how to combine patterns into small product workflows with clear runtime and evidence boundaries.