Introduction

Agentic AI and Vibe Coding

The new paradigm in software development (2025-2026).

The Shift

Moving away from manual syntax writing to Agentic AI and Vibe Coding. The barrier to creating software has plummeted.

Group Discussion

How has your own interaction with technology and software creation changed since the introduction of advanced AI?

Definitions

Defining Agentic AI

Systems designed to act autonomously, pursue defined goals, and execute decisions with minimal human intervention.

From 2024 "AI Copilots" to 2026 "Autonomous Agents".
Agents now negotiate, research, and execute tasks outside the IDE.

Group Activity

Think of a complex, multi-step task in your daily job. How would an autonomous "agent" handle it differently than an assistant "copilot"?

Architecture

The Microservices Moment

Multi-agent orchestration over monolithic LLMs

Orchestrator Agent

Coordinates specialized sub-agents working in parallel (e.g., data analyst, coding agent, QA agent). This mirrors the shift from monolithic to microservices architecture.

Brainstorm

If you had to build a team of specialized AI agents for your current project, what specific roles and responsibilities would you assign to them?

Capabilities

Extended Autonomous Execution

Continuous Work

By 2026, agents can work continuously for days, navigating legacy codebases and building entire applications autonomously.

Humans now provide strategic oversight at key decision checkpoints rather than micro-managing the code.

Risk Analysis

What are the potential risks of giving AI continuous, autonomous execution capabilities without continuous human monitoring?

Security

Governance-First Design

Establishing boundaries and logs

Security and governance cannot be an afterthought.
Strict permission boundaries and decision logs are central.
Human-in-the-loop approval prevents rogue actions.

Process Design

In an automated software development lifecycle, where are the most critical points to place a mandatory "human-in-the-loop" checkpoint?

Culture

The Vibe Coding Phenomenon

Chatbot-Based Development

Users express intentions in high-level plain speech ("vibes"), while AI handles syntax and execution. Coined in Feb 2025 by Andrej Karpathy.

Debate

Do you feel that writing software based on "vibes" makes technology more accessible, or does it inherently reduce the quality of the final product?

Methodology

Code First, Refine Later

Prioritizing momentum over structural planning

Creators use natural language prompts in tools like Cursor, accepting code without reviewing internal logic.

Conversational Debugging

Bugs are fixed via follow-up prompts rather than traditional line-by-line debugging.

Business Scenarios

In what specific business scenarios is rapid, flawed prototyping more valuable than perfectly structured, maintainable code?

Impact

Democratization of Software

Non-technical workers (marketing, legal, sales) building functional digital products.
Amateurs spinning up MVPs over a weekend without knowing a programming language.
Shift of power from IT to the rest of the organization.

Organizational Change

If anyone in any department can create software, how does the role of the traditional enterprise IT department need to adapt?

Comparison

Vibes vs. Engineering

A strict line emerges

The Divide

Vibe coding is unstructured and exploratory. AI-assisted engineering requires structured systems understanding architecture, constraints, and trade-offs.

Enterprise Strategy

How can a company safely encourage the creative experimentation of vibe coding without risking the stability of their production environments?

Professional

Spec-Driven Development

In professional environments, AI generates code, writes tests, and performs security reviews based on deep architectural planning.

Human Ownership

The human engineer retains full ownership, comprehension, and accountability of the codebase.

Requirement Gathering

What are the essential components of a "rigorous technical spec" when you are delegating tasks to an AI rather than a human developer?

Risks

Accelerated Technical Debt

Writing bad code faster

AI tools can write flawed or poorly integrated code at lightning speed.
Applications built purely on vibes become incredibly brittle over time.
Massive accumulations of technical debt must eventually be reconciled.

Debt Management

How should engineering teams measure and manage technical debt when code is being generated at ten times the traditional speed?

Failure Modes

The "Maintenance Cliff"

The Breaking Point

Occurs when an app becomes too complex for the AI to fix via simple prompts, but the human creator lacks the skill to fix it manually. Often results in project abandonment.

Personal Experience

Have you ever built or relied on a system you didn't fully understand? How did you handle the situation when it eventually broke?

Security

Security Vulnerabilities

Blindly accepting AI-generated code

Professional teams pivot agentic AI to act as automated, adversarial security reviewers to analyze outputs for vulnerabilities.

Trust & Auditing

Should we trust AI to audit its own code for security flaws, or does security review fundamentally require a human perspective?

Skills Gap

The Illusion of Competence

Writing reliable software requires specifying edge cases, designing UX, and planning for scale.
Natural language prompts are often "wish lists" rather than engineering blueprints.
Apps work flawlessly in ideal conditions but break under real-world strain.

Training

How do we train the next generation of technologists to spot edge cases when the AI does the heavy lifting for them?

Evolution

Instruction vs. Orchestration

A historical shift in human-computer interaction

From 'How' to 'What'

Moving from telling computers exactly how to do something (instruction) to telling them what we want to achieve (orchestration). Focus shifts to systems thinking.

Future Skills

As we fully transition to an orchestration mindset, what traditional tech skills will become obsolete, and what new skills will become the most valuable?

Conclusion

Building a Maintainable Future

The future relies on combining the creative freedom of "vibes" with the strict guardrails of traditional software engineering.

Dual Approach

Vibe coding turns ideas into reality in hours for hobbyists. Enterprise teams harness Agentic systems responsibly.

Action Plan

What is one practical step or policy your team can implement tomorrow to begin adapting to the Agentic AI and vibe coding era?