The Future of AI Coding: Multi-Model Agents, Enterprise AI & Developer Productivity with Emilie Schario
OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips
Release Date: 07/18/2026
The Future of Multi Model AI Workflows with Jonathan Archer
OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips
How can developers use multiple AI models without constantly switching tools or hitting rate limits? In Episode 199 of Open Tech Talks, Kashif Manzoor speaks with Jonathan Archer, co-founder of OpenLLM, about AI gateways, Bring Your Own Key (BYOK), multi-model AI workflows, AI coding agents, and the future of developer productivity. As developers increasingly use Claude, ChatGPT, Grok, Gemini, and other AI models, managing multiple subscriptions, API keys, usage limits, and development environments is becoming a real challenge. Jonathan explains how an AI gateway can provide a unified endpoint...
info_outline
Building the Right Foundations for AI with Sebastian Wernicke
OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips
In Episode 196 of Open Tech Talks, host Kashif Manzoor speaks with Sebastian Wernicke, a data and AI expert with 20 years of experience working across data science, analytics, machine learning, and artificial intelligence. The conversation explores how organizations should approach AI transformation without getting distracted by the latest technology trends. Sebastian shares a powerful principle that has guided his work: Purpose first, data second. Rather than starting with a new AI model or technology and looking for somewhere to use it, organizations should first understand the business...
info_outline
Building an AI Native Enterprise with Francis Brero
OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips
In Episode 197 of Open Tech Talks, host Kashif Manzoor speaks with Francis Brero, VP of AI Strategy at HD Insights, about what it really means for an enterprise to become AI native. Francis shares his experience helping an established enterprise organization move into the AI era and explains why AI transformation is much more than adding an LLM or purchasing the latest AI tools. The conversation begins with a practical framework for identifying where AI can create value. Francis explains how organizations can break down jobs into smaller tasks, assess each task's value, and identify which...
info_outline
How to Adopt AI Without Creating Security Risks with Kate Marshall
OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips
In Episode 196 of Open Tech Talks, host Kashif Manzoor sits down with Kate Marshall, a cybersecurity and AI adoption specialist, to discuss one of the biggest challenges facing organizations today: How can companies move quickly with AI while keeping their data, people, and systems secure? Kate brings nearly two decades of cybersecurity experience to the conversation and explains why AI adoption cannot be separated from cybersecurity, privacy, governance, and employee training. The conversation starts with the growing adoption of AI inside organizations and the different approaches taken by...
info_outline
How Small Businesses Can Win with AI Agents Before Enterprises Do with Anne Cantera
OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips
Artificial Intelligence is no longer just for large enterprises with massive IT budgets. Today, even the smallest businesses can automate repetitive work, improve customer service, and reclaim valuable hours using AI. Chapters: 00:00 Introduction to Anne Cantera 01:12 The Role of AI in Small Businesses 03:43 Identifying Problems in Small Businesses 06:41 Implementing AI Solutions 10:24 Tech Stack and Feasibility for Small Businesses 12:30 Driving Towards Workable AI Products 13:43 Adoption Challenges and Experiences 15:43 Measuring ROI in AI Implementations 18:07 Advice for Small Business...
info_outline
The Future of AI Coding: Multi-Model Agents, Enterprise AI & Developer Productivity with Emilie Schario
OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips
Artificial Intelligence has completely transformed software development. What started with autocomplete has evolved into AI coding agents capable of building entire applications from simple prompts. But as organizations adopt these tools, new challenges emerge: cost, security, vendor lock-in, enterprise governance, and the future role of software engineers. Today’s conversation isn’t about one product. It’s about understanding where software development is heading over the next few years. Joining me is Emilie Schario, VP of Engineering at Kilo, where she works on agentic engineering and...
info_outline
AI Skills Are the New Competitive Advantage with John Munsell
OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips
One lesson I’ve learned throughout my career, from enterprise architecture to cloud transformation and now Generative AI, is this. Every technology revolution follows the same pattern. At first, companies invest in technology. Later, they realize they should have invested in people. I’ve seen organizations spend millions on software while allocating almost nothing to learning. Then six months later they ask, “Why aren’t people using the new platform?” The answer usually isn’t difficult. People don’t resist technology. People resist uncertainty. When employees understand how AI...
info_outline
AI Success Starts Before AI: Fix Your Knowledge, Strategy, and Governance First with Abby Clobridge
OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips
One thing I’ve noticed after working with enterprise customers for more than 20 years is this. When AI projects fail, people usually blame the model. They blame ChatGPT. They blame the vendor. They blame the technology. But after sitting in hundreds of customer meetings, I rarely found AI itself to be the problem. The real problem was hidden somewhere else. The data was scattered. Nobody knew which document was the latest. Every department had its own tools. Everyone wanted AI, but nobody agreed on the business problem they were trying to solve. I remember one customer asking me, “Can AI...
info_outline
AI Can’t Replace Your Brand Story with Mona Bavar
OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips
AI has changed the conversation. Not because machines suddenly became intelligent, but because millions of ordinary people suddenly gained access to something that felt extraordinary. I still remember when ChatGPT first became available. Like many people, I opened it with curiosity. I wasn’t looking for shortcuts. I wanted to understand what was actually happening. Every week since then, I have spoken with founders, researchers, engineers, and business leaders from around the world. One thing became very clear. Technology changes quickly. People don’t. Many businesses are still asking the...
info_outline
In the Age of AI, Human Growth Matters More Than Ever with Carlee Wolfe
OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips
For the last two years, almost every conversation in technology has been about AI. New models. New tools. New agents. New automation. And honestly, I understand the excitement. I’ve spent more than 20 years working in technology, cloud, AI, and enterprise transformation. I’ve seen many waves of innovation. But this one feels different. Yet something has been bothering me. Every conference I attend, every LinkedIn post I read, every discussion I have with business leaders seems focused on one question: “What can AI do?” Very few people are asking: “What should I become?” A few years...
info_outlineArtificial Intelligence has completely transformed software development. What started with autocomplete has evolved into AI coding agents capable of building entire applications from simple prompts. But as organizations adopt these tools, new challenges emerge: cost, security, vendor lock-in, enterprise governance, and the future role of software engineers.
Today’s conversation isn’t about one product. It’s about understanding where software development is heading over the next few years.
Joining me is Emilie Schario, VP of Engineering at Kilo, where she works on agentic engineering and multi-model AI developer tools. We discuss how enterprises should think about AI coding assistants, why relying on a single AI model may not be the future, how engineering teams should prioritize product development, and what both junior and senior developers need to do to stay relevant.
Whether you’re a developer, engineering leader, CTO, startup founder, or simply curious about AI transforming software engineering, this episode is packed with practical insights.
Let’s get started.
Chapters:
00:00 Introduction to Emily Sherio and Kilo Code
04:13 The Role of Kilo in Developer Productivity
07:52 Choosing the Right AI Models for Development
12:24 Building Features that Matter
16:38 The Importance of Code Review and Feature Management
19:24 The Future of Development and AI Integration
25:59 The Necessity of Learning Coding Principles
30:16 Enhancing Security in Coding Tools
Episode # 194
Today’s Guest:
Emilie Schario, VP of Engineering, Kilo
She works on agentic engineering and multi-model AI developer tools
Guests Links:
What Listeners Will Learn:
- Why AI coding is moving toward multi-model architectures.
- The advantages and risks of proprietary AI coding tools.
- How organizations can reduce AI infrastructure costs.
- Why vendor lock-in is becoming an AI challenge.
- The future of developer productivity.
- Why code review is becoming more important than writing code.
- Product management lessons every startup should know.
- When to remove features rather than add more.
- Enterprise AI security challenges.
- How organizations can adopt AI without compromising security.
- Why prompt engineering is becoming a fundamental skill.
- Advice for junior developers entering the AI era.
- The importance of mentoring the next generation of engineers.
Resources:
- Kilo - AI Developer Platform
- Prompts for Mere Mortals by Florian Hines