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Agentic programming is here – what happens next?
Read the summary (AI-generated, human-reviewed)
- AI has first entered developers’ work as a tool for writing code, speeding up routine tasks and problem‑solving.
- In the next phase, AI supports — and partly automates — different stages of development, such as code reviews and documentation. The expert’s role remains essential: humans evaluate, guide, and finalize the work produced by AI.
- In the future, a software developer’s core skills will rely even more on structuring problems, guiding AI, and continuous learning.
1. AI assisted code
For many software developers, AI-assisted code generation is already part of everyday work. AI speeds up writing source code, helps solve problems, and improves efficiency. This has been a natural and safe first step: the AI does what a human has done before – only faster.
At the same time, it is good to remember that writing actual program code has traditionally been only a small part of a developer’s work. Faster code production does not change everything yet, but it opens the door to the next steps.
2. AI as part of different phases of software development
3. Agentic programming fundamentally reshapes the logic
The third phase, agentic programming, takes the transformation to an entirely new level. We now have a tool that can produce such large entities at once that reviewing the output will take more time than creating it.
The first experiment quickly creates a wow effect — hundreds of lines of code appear in seconds. Soon after, uncertainty arises: how do we ensure quality, does the whole solution work, and do I even understand all the details anymore?
The answer is not to return to old ways, but to work with agents as collaborative partners. Planning and staging helps you keep control:
- Shared problem solving: The AI examines the codebase for you and suggests a plan, which is refined together into an actual implementation plan.
- Implementation and verification: When the plan is ready, the agent is asked to implement it at once or in parts, remembering quality assurance.
What's next?
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