CA Agentur | Agentic Coding
Build with AI agents. Keep responsibility clear.
Agentic coding uses AI agents for clearly scoped development tasks. Clear requirements, reviewable code and a controlled transition to production are essential.
What agentic coding means.
In agentic coding, an AI agent supports several steps of software development: it can inspect existing code, propose changes, edit files and run appropriate checks. Its scope of action is limited by the tools, access rights and task it is given.
For businesses, this raises a practical question: Which parts of development can benefit from this support while maintaining quality and oversight? CA Agentur places its use within the goals of marketing, product and the organisation.
Suitable first tasks
- Develop a clearly scoped internal tool or prototype
- Provide technical support for recurring content and data workflows
- Extend existing features with clear acceptance criteria
- Reproduce an error and review a traceable proposed fix
A high degree of automation is not a success criterion in itself. The change must meet the business need, remain maintainable and work in its intended environment.
Areas of work
The right perspective for your project.
Brand, technology and delivery belong together.
From task to result.
Define the scope
Before work starts, the goal, affected files or systems, and explicitly permitted changes are defined. Existing user work is preserved. Production access and confidential data are not automatically part of an agent's working context.
Make changes traceable
Development proceeds in manageable steps. Differences from the starting point must remain reviewable. Tests address the behaviour the software needs to deliver, including relevant failure cases.
Keep responsibility clear
A successful check in a development environment does not amount to approval for production use. Technical project leadership connects business acceptance with integration, operations and a rollback plan.
AI Engineering is the broader area of work for integrating models, data sources and agents into business processes.
Understanding brand and product.
CA Agentur includes agentic coding within AI & Agentic Execution. Can Florian Ahegger connects the technical perspective with brand strategy and customer experience.
A useful starting point is a real, limited task from your business. It provides a basis for defining the scope, quality standard and next decision.
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What should your next project change?
Tell us about your goal, starting point and timeframe. Together, we will define a practical first step.