Most engineering teams did not roll out AI coding agents through a plan — individual developers just started using tools like Claude Code and Codex, and adoption spread from there. That usually means every developer has worked out their own habits for what to trust, what to review, and how to prompt — with no shared standard across the team for how AI-assisted code gets written, reviewed, and shipped.
This workshop is built to close that gap: a hands-on engagement that takes a team already using AI coding agents and gives them a shared, governed practice for doing it well.
A short scoping conversation on how your team is currently using AI coding agents, where adoption is strong, and where it is inconsistent. No separate diagnostic product to buy — this happens as part of getting started.
A focused, hands-on workshop (typically 1–2 days) built on our free AI-Assisted Software Engineering course, covering agentic coding workflows, code review practices for AI-generated code, and MCP-enabled agent patterns — applied directly to your team's own codebase and workflow.
For teams that want to go further, an ongoing advisory path as governed AI-native practices extend from the initial team to the wider engineering organization.
This is a hands-on engagement, not a licensed product or a certification program — it is delivered directly, team by team, grounded in the same technical material covered in our free AI-Assisted Software Engineering course.
This workshop is built on the same technical foundation as our free, publicly available AI-Assisted Software Engineering course — which covers Claude Code, Codex, agentic coding workflows, and MCP-enabled agents in real depth. If you want to see the level of technical detail before talking to us, that course is the best way to do it.
Tell us a bit about your goals and we'll get back to you with a tailored plan and pricing for AI-Native Engineering Enablement.
Talk to Us About AI-Native Engineering Enablement