Exploring Modern AI in Tamil

2026 Day 1 - Introduction to Agents & Vibe Coding | Google AI Agents Course


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2026 kaggle 5-Day AI Agents: Intensive Vibe Coding Course With Google Day 1: Introduction to Agents & Vibe Coding


This episode of Exploring Modern AI in Tamil podcast explains vibe coding and agentic engineering for software developers new to these concepts.

- Includes real world examples of coding agents in daily workflows.

- Contrasts the financial risks of vibe coding versus agentic engineering.

- Offers actionable steps for developers to start practicing context engineering.

- Adds a section on integrating agents into existing daily coding routines.

- Explains the factory model for building systems that create software.

- Outlines the phases of the new software development lifecycle.

- Discusses the new SDLC by comparing Traditional syntax-based methods and Intent-based AI agent systems.

- Explains the core components of the harness engineering framework.

- Lists daily habits for developers to master intent-based software creation.

- Contrasts operating costs versus capital expenses for these development models.

- Describes the shift from traditional developer roles to conductors and orchestrators.

- Compares the conductor and orchestrator roles in managing complex agent systems.

- Details how to build a robust harness for testing and quality assurance.

- Explains strategies for maintaining security while scaling automated coding workflows.

- Details how organizations can scale efficiency through intelligent model routing.

- Focuses on learning intent-based communication as a core career skill.

- Analyzes the trade offs between ad hoc prompting and structured agentic design.

- Identifies key technical skills needed for roles involving AI agent oversight.

- Highlights how leaders can justify agentic engineering investments to senior stakeholders.

- Defines how organizations can measure long term ROI from agentic engineering frameworks.

- Provides actionable steps for engineering leaders to transition their teams toward agentic engineering.

- Suggests ways for engineering managers to evaluate team productivity metrics.

- Outlines a phased plan for migrating legacy teams to agentic workflows.

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Exploring Modern AI in TamilBy Sivakumar Viyalan