AI curriculum
Course outline for Codex and OpenAI Coding Agents
Delegating a coding task requires more than an instruction. Structure Codex-style workflows around repository context, bounded tools, and evidence-based review.
About Codex and OpenAI Coding Agents
Delegating a coding task requires more than an instruction. Structure Codex-style workflows around repository context, bounded tools, and evidence-based review.
Codex and OpenAI Coding Agents Course Objectives
- Define a scoped coding-agent task.
- Inspect tool actions and generated changes.
- Verify a change with tests and a review checklist.
Pre-requisites
- Programming and Git experience.
- Ability to run and interpret repository tests.
Lab Setup
- Computer with Git, a programming runtime, and a sample repository.
- Optional Codex access through an approved nonproduction account; use supplied execution traces and patches when service access is unavailable.
Detailed Course Outline
Proposed modulesModule 1: Delegating repository work
- Codex workflows
- Repository interaction
- Tool use
- Agent execution
Practical outcome: Specify an agent task with access and execution boundaries.
Module 2: Verifying changes
- Context management
- Testing
- Code review
- Automation
Practical outcome: Assemble test and review evidence for a generated diff.
Practical exercise
- Review a coding-agent change and design a repeatable verification workflow.
How we train
Contact us for full course details, including duration, delivery options and lab requirements.
Ask about exercises, instructor feedback and the prior knowledge you need. Tool-specific courses marked provisional may become modules in a broader course.
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