Claude Code best practices training for engineering teams
Most Claude Code adoption fails because best practices stay in private habits reviewers cannot see. Standardize team workflow by writing conventions into CLAUDE.md, skills, hooks, and review expectations, so every engineer follows the same standards documentation. This training shows teams how to turn AI coding practices into shared, inspectable rules instead of a growing prompt library.
Best practices belong in the repo
Claude Code works best when the team records conventions in CLAUDE.md, skills, hooks, and review expectations. The goal is not a bigger prompt library, but fewer private habits reviewers cannot inspect.
What the workshop installs
Participants define setup rules, planning habits, hook boundaries, MCP permissions, test expectations, and review evidence for the workflows the team actually delegates to Claude Code.
How adoption stays practical
The team keeps the standard short, updates it after real runs, and rejects patterns that produce large diffs, hidden assumptions, or approval habits nobody can explain later.
Official references
Current product documentation we use when shaping this training topic.
Selected research
Representative field notes connected to this topic.
Claude Code 2.1.139 team conventions
Claude Code 2.1.139 team conventions: a CLAUDE TOC, red-folder approvals, data-class tags on MCP connectors, and a weekly retro note.
Claude Code 2.1.141 team conventions
Claude Code 2.1.141 team conventions: a CLAUDE TOC, red-folder approvals, data-class tags on MCP connectors, and a weekly retro note.
Simon Willison on OpenAI’s Agentic Research Acceleration
Simon Willison’s note on OpenAI research acceleration shows why coding-agent spend is becoming a workflow signal.
User-Guide-Driven Development With Agents
A Hacker News workflow experiment uses user guides and mockups as the human-owned spec for coding agents.
Breaking Claude Code Opus 5 Auto Mode
Embrace The Red tested Claude Code Auto Mode and showed why approval boundaries matter when agents read untrusted context.
Z Brings Minimal Agentic Coding to Terminals
Z is a small open-source agentic harness with live tokens, model switching, and Claude Code-style hooks.
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Bring this into your team
We tailor the training to your codebase, adoption stage, and review standards.
Book a 15-minute sync