Claude Code Training for Development Teams

Your situation

Developers already try AI coding tools. The gap is usually method: when to let the agent act, how to review its changes and what must stay out of it. Typical requests:

• Seats bought, habits unchanged. A few developers use Claude Code heavily; most use it as autocomplete.
• Review load went up. AI-written diffs are larger, and reviewers are unsure what to check.
• Security wants rules. Which repositories, which permissions, what happens with secrets and client data.
• Legacy code. A large, older codebase where the team wants help with tests, documentation and refactoring.

What the program includes

Two-day workshop on your code. Day 1: setup, permissions, CLAUDE.md project instructions, planning and small changes with tests. Day 2: multi-file refactoring, debugging, working with git branches and pull requests, reviewing AI diffs.

Four weekly coaching sessions of 90 minutes. Developers bring current sprint tasks; we work through them together and adjust the team's instructions and conventions.

Team conventions. A shared CLAUDE.md, permission settings and a checklist for reviewing AI-generated changes.

Security rules. Excluded files and directories, secrets handling, what may be sent to the model under your data classification.

Before-and-after check. Two or three measures agreed up front, such as time on a task type or review turnaround.

Program at a glance

Security checklist we set up with your team

• Permissions. Which commands run without asking, which always need approval, and which are blocked.
• Excluded paths. Secrets, .env files, keys, client data exports and anything your classification keeps away from external services.
• Clean environments. Development credentials only; production access stays outside the agent's reach.
• Review like any pull request. AI-written changes go through the same review and CI checks as human ones, with a checklist for the typical mistakes.
• Shared conventions. Project rules live in CLAUDE.md in the repository, so every developer's session starts from the same instructions.

How long it takes

In our experience six to seven weeks from the first call to the final check. It depends on team calendars, security approval of the tool and access to a representative repository.

What it costs

The program is quoted after a 30-minute call, based on the number of developers, cohorts and format. Claude seats or API usage are paid directly to Anthropic. For non-developer staff, see Copilot and ChatGPT training for teams. Fixed-price packages are on the pricing page.

Why Remolda for Claude Code training

1. Your repositories. Exercises run on your code and stack.
2. Review discipline. A checklist for AI diffs that reviewers actually use.
3. Security set up with your team. Permissions and exclusions configured, documented and approved.
4. Coaching after the workshop. Four sessions on real sprint work.
5. Training and builds from one place. Remolda also builds AI agents and LLM integrations.

How the work runs

Training is the Empower step of the Remolda Cycle (Audit → Strategy → Implement → Empower → Evolve).

1. Call. Team size, stack, security constraints.
2. Preparation. Repository review, exercises from your backlog.
3. Workshop. Two days, hands-on.
4. Coaching. Four weekly sessions.
5. Check. Measures compared; conventions handed over.