In contrast to AI-assisted development, with vibe coding, you let AI take the lead to generate all the code for your application. Even in case of errors, the recommended approach is to let the tool analyze errors and provide the fix. If it fails to do so, that’s when human intervention may be required. Though still in the early stages, where it shows significant promise in building content-based sites, internal tools and small-scale apps, tangible gains are visible with as much as 30% of Microsoft code being written by AI, to use just one prominent example in well-known software.
Along with other AI promises, vibe coding centers the software development around human conversations on needs and intents for the application. This approach democratizes application development and aligns with the original promise of digital transformation: empowering people to focus on creativity and innovation rather than worrying about development and implementation.
Autonomous workflow: End-to-end business process execution
Agentic AI refers to the next step toward intelligent automation (IA), where AI functions as an autonomous agent (digital worker) capable of reasoning, adapting, learning and making decisions on complex tasks to execute end-to-end flow. Whereas in vibe-coding, AI can autonomously generate, enhance and bug-fix the code, with agentic AI, systems exhibit greater autonomy in orchestrating an end-to-end workflow. Based on the design patterns like reflection, tool use, planning and multi-agent collaboration to generate responses, agentic AI can continuously learn from feedback and self-improve over time.
