Agentic coding workshops for engineering teams
Most teams adopt AI coding tools individually and never build a shared way of working, so output stays inconsistent. This agentic coding workshop trains engineers as a team on real repositories, not demos. You leave with a tested AI coding workflow, clear rules for using coding agents, and a team adoption plan that survives past the first week.
What the workshop is for
The workshop gives teams a practical operating model for using AI coding tools together. It is built for real engineering work, not passive demos or generic prompt tips.
What teams practice
Participants plan tasks, delegate bounded work, review generated diffs, repair tests, encode team conventions, and decide where human judgment must stay in control.
What changes afterward
The expected outcome is a shared vocabulary, a repository-ready set of conventions, and a concrete list of workflows where the team can safely raise throughput.
Official references
Current product documentation we use when shaping this training topic.
Selected research
Representative field notes connected to this topic.
The AI code review workflow that survives green CI
An AI code review workflow for agentic teams: connector ownership, scoped fixes, decision stubs, and replay evidence that hold up when CI is green.
Codex workspace agents need repo rules
Codex workspace agents and Cursor cloud agents need repo rules: scoped boundary files, connector cards, and replay receipts reviewers can check.
Agentic coding governance for engineering teams
Agentic coding governance for engineering teams: the written contracts, decision stubs, scope ledgers, and replay receipts, that keep agent diffs explainable.
AI agent guardrails: why every harness needs them
Why agent harnesses need guardrails: AI agent guardrails that turn complete-sounding summaries into receipts reviewers can actually verify.
AI coding wrappers that hold up under review
A governance guide to AI coding wrappers: the repo contracts Cursor, Claude Code, and Codex need so agent work stays reviewable.
Subagent prompts: why every fork needs its own brief
Why subagent prompts need their own scope, paths, and verification: four named fixes that keep forked agent work explainable in review.
Related training topics
Bring this into your team
We tailor the training to your codebase, adoption stage, and review standards.
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