AI Coding Agents in Practice: Codex vs Claude Code vs Copilot
Compare OpenAI Codex, Claude Code, GitHub Copilot and more, then build live: ship one small feature with an agent, with human review at each gate.
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- Bring your own work — code, campaign, report or plan
- Mentor matched to this topic
- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1The real problem: agents write lots of code nobody reviews
- 2The tool landscape: OpenAI Codex, Claude Code, GitHub Copilot, Cursor, Windsurf, Gemini CLI, Cline, Aider — what each is for and where they overlap
- 3How to choose: team size, integrations, where your data lives, and today's pricing and availability (checked live, not from memory)
- 4Live practical task: Ship one small feature with an agent, with human review at each gate
- 5Build the reusable output together: Agent task brief + review checklist
- 6When you don't need a new tool at all, then live Q&A on your own setup
Who it's for
- • Students and developers who want hands-on practice with real tools
You'd leave with
- Agent task brief + review checklist
- A shortlist of 2–3 options from OpenAI Codex, Claude Code, GitHub Copilot, Cursor and others, with the criteria to pick one
- Hands-on practice: ship one small feature with an agent, with human review at each gate
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