---
title: "Overview"
---

**Session goals:**

- Address questions from the self-study period.
- Learn to plan and execute complex, multi-step tasks with an AI agent.
- Context engineering and optimization with Copilot: `#tools`, `skills`,
  `/prompts`, `/agents`, `MCP` connectors, and other relevant features.
- Get hands-on with these concepts through exercises and demos.
- Positron's cutting-edge features and best practices for AI-assisted coding.

By the end of this session you should be able to delegate a complex analytical
task to an AI agent, supervise its execution, and course-correct when it goes
off track using appropriate tools and prompting techniques.


## Agenda

### Part 1 — Review, Practice, and Concepts (80 min)

| Time   | Topic |
|--------|-------|
| 20 min | Q&A from self-study: summary of questions from chat, open discussion of challenges and discoveries |
| 30 min | Exercise: planning and executing complex tasks with parallel agentic workflows |
| 30 min | Context engineering: `#tools`, `skills`, `MCP`, and other relevant features |

### ☕ Break (10 min)

### Part 2 — Skills in Action (90 min)

| Time   | Topic |
|--------|-------|
| 45 min | Exercise: using the right `#tools`, integrating AI `skills`, developing `/prompts` and `/agents` |
| 30 min | Q&A and discussion |
| 5 min  | Feedback survey |
| 10 min | Closing remarks and next steps and additional learning materials |

## Before You Arrive

Post your questions, challenges, and discoveries from the self-study exercises
in the Teams chat a day before the session to help guide the discussion and
practice exercises.
