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Cursos/DeepSeek Harness (DSH)/DeepSeek Harness · Phase 7
Revisión pendiente desde 21 ago 20262 fuentes primarias

Subagents, skills and orchestration

Split work by evidence and boundaries. A subagent does not replace judgement: it needs a small mission, a concrete output and a verification method.

Qué vas a conseguir ahora

Una decisión o prueba aplicada a «Subagents, skills and orchestration».

  1. 1Entiende el criterio
  2. 2Haz una práctica pequeña
  3. 3Guarda una evidencia
Evidencia

Una nota breve con qué hiciste, qué salió bien, qué falló y qué revisarías después.

Objetivos de aprendizaje
  • Delegate exploration without losing control.
  • Write a reusable skill.
  • Consolidate conflicting findings.

Split by questions

A good division separates research, implementation and verification. Do not send several agents to edit the same files: it creates conflicts and makes changes hard to attribute.

  • Agent A: repository map, read-only.
  • Agent B: tests and risks, read-only.
  • Agent C: minimal patch proposal, no writing.
  • Human owner: decide, apply and validate.

A useful skill

A skill is a working recipe with an objective, boundaries, steps and evidence. Start with one repeated task before generalizing.

Terminal
Goal: review changes before merge.
Input: diff and requirements.
Limits: do not modify files; do not invent tests.
Output: prioritized findings with evidence and missing tests.
Comprueba que funciona. Run two read-only tasks in parallel and compare their references before making a decision.
Guardar y reabrir el proyecto.
More agents do not create more truth; without clear missions they create more coordination work.

Si has guardado la evidencia de esta lección, continúa con «Local DeepSeek models and quantization». Si no, repite la comprobación antes de avanzar.

Complete Aulafy mapSee how this lesson fits without leaving your path.

Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

You do not need every course: choose the component your system needs and return as it grows.

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