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Agentic System Design — 28/30 [Coding Agents]

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← Part 27 — Reasoning Engines | Part 29 — The Future of Agentic Software Developments ->

Software development is undergoing another major transformation.

For years, developers used AI primarily as a code-generation assistant. Today, that model is evolving toward something much more powerful: AI coding agents that operate as specialized members of a development team.

This Part explores that transition — from vibe coding to structured human–AI collaboration, where developers remain the architects and AI agents become force multipliers.

Vibe Coding: A Starting Point

Vibe coding has emerged as a powerful technique for rapid innovation and experimentation.

Instead of writing every line of code manually, developers can describe what they want in natural language and let an LLM generate an initial implementation.

For example:

Developer:
"Create a REST API for user authentication
using FastAPI and JWT."
            ↓          LLM            ↓Initial implementation

The generated code becomes a starting point that the developer can inspect, modify…

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Deepak Mishra
Deepak Mishra

Written by Deepak Mishra

Staff AI/ML & GenAI Architect | Designing Production-Grade LLM, RAG & Agentic AI Systems | LLM Architecture • Reasoning • Inference • Evaluation

GoPenAI
GoPenAI

Published in GoPenAI

Where the ChatGPT community comes together to share insights and stories.