Welcome to PureLogics Pulse. Host Mohsin Ali speaks with Jahangir Naeem, Senior Engagement Manager at PureLogics, about how Generative AI and Agentic AI are changing software development. Learn how these breakthroughs are reshaping engineering, client expectations, and the future of coding.

PureLogics Pulse Podcast Chapters

00:03 – 00:52 | Welcome & Podcast Overview

Introduction by Mohsin Ali, setting the stage for discussions on AI, technology trends, and business impact.

00:52 – 02:13 | Guest Introduction

Jahangir Naeem shares his background, early exposure to technology, and journey to PureLogics.

02:13 – 03:00 | Technological Shifts Observed

Discussion on major technology transitions at PureLogics, from PHP and WordPress to Python.

03:00 – 04:08 | Introduction to AI

Recognizing AI as a transformative force and its growing relevance in software development.

04:08 – 05:00 | Traditional AI vs Programming

Differences between AI-enabled development and traditional programming approaches.

05:00 – 06:50 | Generative AI Fundamentals

Benefits of Gen-AI in coding, documentation, ideation, and its exponential growth across industries.

06:50 – 08:53 | Challenges with Gen-AI

Addressing hallucinations, inconsistencies, and the need for oversight in AI outputs.

08:53 – 09:22 | Client Understanding of AI

How organizations now request AI for specific business outcomes rather than as a generic addition.

09:22 – 11:33 | Agentic AI Introduction

Defining Agentic AI as autonomous, goal-driven systems that plan, act, and adapt.

11:33 – 14:22 | Agentic AI in Practice

Benefits of agentic AI: code quality, compliance, prompt responses, and areas requiring human oversight.

14:22 – 15:58 | Architectural Patterns & Human-in-the-Loop

Importance of guardrails, verification, and orchestration in AI systems.

15:58 – 18:10 | Multi-Agent Systems Concept

How multiple specialized AI agents collaborate, mirroring human team structures.

18:10 – 20:47 | Orchestration & Conflict Resolution

Role of orchestrators in preventing conflicts and managing multi-agent decision-making.

20:47 – 23:49 | Multi-Agent Use Cases & Escalations

Examples of level 1, 2, 3, and support handled by AI agents, maintaining context and history.

23:49 – 27:12 | AI Implementation at PureLogics

Case studies: project manager agents, legal frameworks, and AI chatbots handling documentation.

27:12 – 32:58 | Success Factors & Limitations

Lessons learned, the importance of human oversight, and the current maturity level of agentic AI.

32:58 – 35:00 | Closing Remarks

Final thoughts on AI enablement, future outlook, and key takeaways.