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
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
