Have AI agents implement tickets on their own

Development teams have AI agents implement entire tickets on their own

Needs setupAI Act: no extra obligationsAutomating processes with AI agentsDigital & tech

Fits: IT & software development

An agent takes clearly described tickets such as small bug fixes, tests or dependency updates all the way to a finished pull request. The team checks and decides instead of writing every little thing themselves.

Is this for you?

  • Your backlog has lots of small, well-defined tickets.
  • There are automated tests and a pipeline that checks every pull request.
  • Every change is already reviewed by a second person today.
First step today

Take a small, invented ticket with a short function and have the template below write the plan, change and tests. Run the tests yourself and check whether the agent openly states its assumptions.

How to go about it

  1. Define suitable tickets and the path to merge
  2. Clarify repository, pipeline and permissions
  3. Set up the agent with project rules
  4. Have a person check every pull request
  5. Gradually hand over more demanding tickets
  6. Analyse rejected pull requests and bugs

Templates to copy

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Plan the rollout
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Included in the training

The complete guide

  • 6 steps explaining exactly what to do
  • 3 proven templates to copy into your own AI
  • Safe use: data, checking, deciding, informing
  • Pitfalls, effort and how to recognise success

With the training you get all 430 guides for as long as your access runs.

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Same approach, other use cases

13 more use cases follow the pattern “Automating processes with AI agents”.

G-DT-03 · Legal status 08.10.2026