This course focuses on the shift from Instructional Programming (telling a computer how to do something) to Agentic Orchestration (telling an agent what the outcome should be). Participants will move beyond simple code generation into managing a digital workforce. The course covers the deployment of autonomous agents through the Codex Desktop App, utilizing GPT-5.3-Codex-Spark for sub-second iterations, and mastering Native Context Compaction to maintain architectural integrity in large-scale repositories. By the end of the course, attendees will be capable of directing swarms of agents to refactor, test, and deploy complex software features with minimal manual typing.
Prequisites:
In order to succeed in this course, you will need:
- Experience in full-stack or systems development
- Comfort with CLI-based development and advanced Git workflows
- A basic understanding of LLM context windows and tokenization
NOTE: Pluralsight requires each participant to have access to the Generative AI tool(s) used in this course. Where Customer does not provide that access, Pluralsight will provide it and AI lab fees will apply.
Purpose
| Move from instructional programming to agentic orchestration with OpenAI Codex |
Audience
| Senior level engineers and programmers transitioning to agentic development |
Role
| Senior Software Engineers & Architects | Engineering Managers | DevOps & Platform Engineers | AI Engineers |
Skill level
| Intermediate |
Style
| Lecture | Hands-on Activities | Labs |
Duration
| 2 days |
Related technologies
| OpenAI | Gen AI | Git |
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Learning Objectives
- Orchestrate Multi-Agent Swarms
- Optimize Latency with Spark
- Manage Large-Scale Context
- Implement Agentic Workflows
- Audit AI-Generated Systems
