KURSUS
Coding Agents and Context Engineering for Developers
Learn to use coding agents effectively in software development. Build structured context, establish stable workflows, and work on your own codebase so AI produces reliable, consistent and high‑quality output.
Kursusdetaljer
København
15. september 2026
Varighed: 2 dage
11.500,00 - 12.300,00 kr.
Priser er ekskl. moms
Engelsk
Work smarter with coding agents – and get consistent, reliable output
Coding agents in 2026 can do far more than autocomplete: they read full repositories, produce multi‑file implementations, and automate complex development tasks.
But their output quality depends heavily on the context they receive.
Without structured context, you risk hallucinations, inconsistent conventions, or code that looks right but isn’t.
This course teaches you to take control.
You will learn how to build structured, persistent context documents, enable agents to understand your project from the very first prompt. You will also use plan‑based workflows where the agent clarifies, plans, and only then begins coding.
The course is fully hands-on – you will work with your own codebase throughout.
- What you will learn about coding agents and context engineering How coding agents ork in practice – and their limitations
- Designing persistent context documents
- Socratic questioning and plan‑based workflows
- Ensuring architectural and stylistic consistency
- Setting up development environments: skills, MCP servers, rules, integrations
- Identifying failure modes and mitigating risks
- Hands-on exercises in your own codebase
Who should attend this coding agents course?
This course is for anyone working with software and wanting to use coding agents more effectively.
Typical participants:
- Software developers (primary audience)
- Tech leads and architects
- Other technical roles interacting with codebases
You should be comfortable using Git and the terminal. Prior experience with coding agents is helpful but not required.
Your benefits: using coding agents in real workflows
After the course, you will be able to:
- Build a persistent context setup that significantly improves AI output
- Apply plan‑based workflows that ensure understanding before implementation
- Evaluate when to trust AI‑generated code - and when to verify it
- Recognize and mitigate AI‑related risks in development
- Configure your development environment correctly: skills, MCP, rules, integrations
- Work faster, safer, and more confidently with coding agents in daily tasks
In practice: less debugging, fewer errors, and more predictable output.
Benefits for your organisation
Your organisation will gain a developer who can:
- Deliver more stable and consistent code using AI‑supported workflows
- Reduce errors, risks and technical debt linked to poor context
- Set up and standardise AI‑tools correctly within the organization
- Increase development efficiency without compromising code quality
- Contribute to a mature, professional use of coding agents in teams
In short: faster delivery with fewer errors and better consistency.
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Rikke Waldorff Jensen
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