Training course · Agentic Coding · Citizen Developers & Low-Code

Agentic Coding for Citizen Developers

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

Duration
2 days (14 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Agentic Coding for Citizen Developers” is designed for roles such as Business users with automation ideas in administration, sales, procurement or HR, Power users of Excel, Power Platform or similar low-code tools and Process owners and business analysts and shows step by step how to use Agentic Coding productively, safely and transparently in Citizen Developers & Low-Code – from the fundamentals to advanced workflows.

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.

The core shift is from ad hoc prompts to robust specifications. You will learn to decompose and describe tasks so that agents solve them reliably, to set up test-driven loops in which tests act as objective acceptance criteria, and to run several agents in parallel or with a division of labour. We also cover review strategies for agent-generated code and team governance: permissions, security boundaries, accountability, cost control and the gradual introduction of agentic workflows into your existing development processes.

Citizen developers are business users who build their own applications and automations without being professional software engineers. Until recently, low-code platforms quickly hit their limits whenever custom logic, integrations or data transformations were needed. AI coding tools push that boundary much further: a plain-language description becomes forms, workflows, scripts and small web apps, and AI explains error messages, formulas and expressions in understandable terms. Responsibility grows at the same time, because home-built solutions also process company data and need maintenance. In this course you learn to use vibe coding and AI agents to build useful solutions for your department, combine them sensibly with low-code platforms and stay within your IT governance rules.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Business users with automation ideas in administration, sales, procurement or HR
  • Power users of Excel, Power Platform or similar low-code tools
  • Process owners and business analysts
  • Members of digitalisation and innovation teams
  • IT leads setting up a citizen development programme

Typical challenges we address

  • Recurring manual tasks that IT has no capacity to automate
  • Low-code platforms hit limits with custom logic, integrations or data preparation
  • Little know-how on testing, documenting and running solutions safely
  • Risk of shadow IT without alignment with data protection and IT security

What you will be able to do

  • You understand how coding agents work and choose the right tool and level of autonomy.
  • You write specifications and project context that agents can work with reliably.
  • You break initiatives into verifiable sub-tasks and steer agents through test-driven loops.
  • You use multi-agent setups and parallel work in a controlled way.
  • Build your own automations, forms and small applications for your department with AI support.
  • Combine low-code platforms with generated code for logic, data preparation and integrations.
  • Document, test and run your solutions in line with your IT governance rules.

Course outline

Day 1

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

Day 2

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
Module 6 Practice lab: Citizen Developers & Low-Code
  • Automating workflows
  • Building forms and small apps
  • Explaining formulas and expressions
  • Cleaning and transforming data
  • Connecting to interfaces
  • Documenting and testing solutions
Module 7 Data protection, quality & transfer to daily work
  • Home-built solutions also process company and employee data: you learn to respect GDPR requirements, IT approval processes, secure handling of credentials and the licence terms of platforms and generated code, so that no shadow IT emerges.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Automating workflows

Describe approval processes, notifications and data transfers between email, spreadsheets, forms and business applications on low-code platforms, and have AI build the matching flows, expressions and conditions.

Building forms and small apps

Generate data entry forms, checklists or booking apps from a description, complete with validation, mandatory fields and simple data storage, and refine them step by step based on colleagues’ feedback.

Explaining formulas and expressions

Have complex Excel formulas, Power Fx or flow expressions explained in plain terms, track down errors and reliably write new calculations from a business description.

Cleaning and transforming data

Merge exports from different systems, remove duplicates, standardise formats and generate Python scripts or Power Query steps that make the preparation repeatable. Monthly preparation then takes minutes, not hours.

Connecting to interfaces

Use AI to understand how a REST interface works, configure connectors and set up simple API calls that bring data from business systems into your own solutions.

Documenting and testing solutions

Produce user guides, short technical documentation and test cases for home-built applications so colleagues and IT can understand, take over and keep running the solution.

Possible hands-on projects

Leave and cover planner

A small web app where team members enter absences, assign cover and give the team lead a monthly overview. Overlaps are flagged automatically.

Incoming invoice checker

A script that reads incoming PDF invoices, checks mandatory details and transfers the data into a structured spreadsheet for approval.

Request tracker

A simple ticketing tool for internal requests with a form, status history, assignments and automatic email notifications. Everyone keeps track of open and completed requests.

Prerequisites

You have several years of development experience, are confident with Git, testing and CI, and ideally have already used AI coding tools. You are confident with office applications and spreadsheets; no programming skills are required, though experience with a low-code platform helps.

Technical requirements

Your own laptop with Git, a terminal and your development environment, plus access to at least one coding agent such as Claude Code, Codex, Copilot or Cursor.

Data protection & compliance

Home-built solutions also process company and employee data: you learn to respect GDPR requirements, IT approval processes, secure handling of credentials and the licence terms of platforms and generated code, so that no shadow IT emerges.

Suggested dates

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

  • Wed, 25 November 2026 – Thu, 26 November 2026 Online Request
  • Wed, 9 December 2026 – Thu, 10 December 2026 Salzburg Request
  • Thu, 17 December 2026 – Fri, 18 December 2026 Online Request
  • Thu, 7 January 2027 – Fri, 8 January 2027 Online Request
  • Wed, 13 January 2027 – Thu, 14 January 2027 Bremen Request
  • Wed, 27 January 2027 – Thu, 28 January 2027 Online Request

Frequently asked questions

How does agentic coding differ from vibe coding?

Vibe coding relies on fast, intuitive iteration in natural language and is particularly suited to prototypes. Agentic coding is an engineering discipline for professional codebases: precise specifications, tests as acceptance criteria, clear permissions and structured reviews ensure that agents deliver reliable, maintainable results even in complex, long-lived projects.

Is the course tied to a specific tool?

No. The course teaches methods that work with Claude Code, OpenAI Codex, the GitHub Copilot coding agent, Cursor and comparable tools. The exercises highlight differences and common ground, for example in context files, permissions and subagents. You can work with whichever tool your organisation already uses or plans to adopt.

How do we stay in control of quality and security with autonomous agents?

Control comes from several layers: tightly scoped permissions and sandboxing, tests and static analysis as automatic checks, mandatory human review before merging, and clear team rules on accountability. During the course you develop a governance concept that fits your processes, security requirements and regulatory obligations.

Do I need programming skills to work with AI as a citizen developer?

No. You describe what your solution should do and the AI generates forms, flows, formulas or scripts. What matters is stating your requirements clearly and checking results systematically. In the course you learn the essential concepts such as data, logic, interfaces and testing so you can steer precisely and narrow down errors yourself.

How do we avoid shadow IT?

With clear rules rather than bans: approved platforms and tools, defined data classes, a simple register of home-built solutions and a route for handing over to IT once an application becomes business-critical. In the course you learn to apply such rules, and IT leads gain ideas for setting up a citizen development programme.

How much does “Agentic Coding for Citizen Developers” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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