Agentic Coding · Stuttgart

Agentic Coding training in Stuttgart

Use autonomous coding agents effectively: specs instead of prompts, task decomposition, test-driven loops, multi-agent setups and governance.

All 32 Agentic Coding courses are also available in Stuttgart – in a centrally located training room or at your premises on request.

Agentic coding means working with AI agents that carry out development tasks largely on their own: they read code, plan changes, run commands and tests, and correct themselves based on the results. Tools such as Claude Code, OpenAI Codex, the GitHub Copilot coding agent and Cursor’s agent mode have made this way of working practical for everyday use. This vendor-neutral course teaches the underlying methodology so that you achieve reliable results whatever the tool, and redefine the developer’s role within your engineering team.

Stuttgart is the heart of Germany’s automotive and supplier industry and home to many hidden champions. Our centrally located training room is ideal for engineering, embedded and IT teams as well as business units bringing AI into their processes.

Suggested dates – Stuttgart

All dates are suggestions – your preferred date is always possible.

  • Wed, 25 November 2026 – Thu, 26 November 2026 Stuttgart Request
  • Wed, 9 December 2026 – Thu, 10 December 2026 Stuttgart Request
  • Thu, 17 December 2026 – Fri, 18 December 2026 Stuttgart Request
  • Mon, 11 January 2027 – Tue, 12 January 2027 Stuttgart Request
  • Mon, 25 January 2027 – Tue, 26 January 2027 Stuttgart Request
  • Thu, 4 February 2027 – Fri, 5 February 2027 Stuttgart Request

Core content of every Agentic Coding course

Module 1 Foundations of agentic development
  • How coding agents work: tool calls, context windows and feedback loops
  • Comparing tools: terminal agents, IDE agents and cloud agents
  • Recognising suitable tasks and choosing levels of autonomy deliberately
  • The new role in the team: from implementation to steering and acceptance
Module 2 Specifications instead of prompts
  • Describing tasks with goal, context, constraints and acceptance criteria
  • Keeping project context in files such as CLAUDE.md, AGENTS.md or rules
  • Plan-first approach: let the agent draft a solution and review it before implementation
  • Versioning specifications and maintaining them as part of the repository
Module 3 Task decomposition and test-driven agent loops
  • Breaking large initiatives into independent, verifiable sub-tasks
  • Having tests written first and using them as an objective stopping criterion
  • Using linters, type checks and builds as automatic feedback
  • Recognising stuck loops and restarting with a new strategy
Module 4 Multi-agent setups and parallel work
  • Defining specialised subagents for research, implementation, testing and review
  • Organising parallel work with branches, worktrees and isolated environments
  • Orchestration: merging results and resolving conflicts
  • Sharing tools and data sources through MCP
Module 5 Review, security and team governance
  • Review strategies for large, agent-generated changes
  • Defining permissions, sandboxing and protection against prompt injection
  • Embedding agents in CI pipelines and pull request processes
  • Planning team guidelines, accountability, costs and a phased rollout

Agentic Coding courses in Stuttgart

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Request without obligation

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Total €949 plus VAT