Lead With Tech Meetup Group

As agents start writing code, running tests, and operating infrastructure, a new question emerges: how do you observe what the agents themselves are doing? This intro session opens up agentic observability — measuring, monitoring, and trusting AI agents at work.
What We'll Cover:

• Why traditional monitoring isn't enough for agent-driven systems
• What to measure — agent actions, decisions, cost, and quality
• An intro to governance logs and turning them into real productivity insight
• A preview of dashboards that prove AI impact with numbers
• How this leads into our hands-on Agentic Observability workshop

Who Should Attend: Engineering leaders, DevOps/SRE professionals, and anyone deploying AI agents who needs to trust and measure them.

What you'll learn in this session:

• Why Agentic SDLC requires an engineering approach, not just agent orchestration.
• The AgenticStack framework and how it structures AI across every SDLC phase.
• A live demonstration of an end-to-end Agentic SDLC workflow.

More about the event

Building an Agentic SDLC is far more than connecting a few AI agents together. Modern software delivery is a complex ecosystem of specialized roles—including Business Analysts, Architects, Developers, QA Engineers, DevOps, Infrastructure, UAT, Release Management, and Support—each with well-defined processes, inputs, outputs, and quality gates.

Simply introducing AI agents does not transform software delivery.
The real opportunity lies in engineering each SDLC phase with purpose, enabling specialized AI agents to augment individual roles before orchestrating them into a connected, governed, and measurable delivery lifecycle.
At Lead With Tech, we call this AgenticStack—an engineering-first approach to building Agentic SDLC. Instead of focusing on isolated AI agents, we focus on designing intelligent workflows, role-specific agents, governance, and seamless collaboration across the entire software delivery lifecycle.

What You'll Learn

• The evolving role of the Pre-Sales Architect in an AI-first world.
• How AI transforms customer discovery, solution design, proposals, and demonstrations.
• A practical roadmap to transition into a high-impact Pre-Sales Architect role.

In this session, you'll explore how AI is reshaping pre-sales, solution consulting, and customer engagement, and discover the skills required to thrive in this new era. We'll cover the blend of technical expertise, business acumen, communication, storytelling, and AI productivity that enables Pre-Sales Architects to influence decisions, build trust, and accelerate customer success.
Using Lead With Tech's engineering-first approach, you'll learn how to leverage AI throughout the pre-sales lifecycle—from discovery and solution design to proposal creation, demonstrations, and executive presentations—while ensuring the human elements of judgment, empathy, and relationship-building remain at the center.

What you'll learn in this session:

• Why Agentic SDLC requires an engineering approach, not just agent orchestration.
• The AgenticStack framework and how it structures AI across every SDLC phase.
• A live demonstration of an end-to-end Agentic SDLC workflow.

More about the event

Building an Agentic SDLC is far more than connecting a few AI agents together. Modern software delivery is a complex ecosystem of specialized roles—including Business Analysts, Architects, Developers, QA Engineers, DevOps, Infrastructure, UAT, Release Management, and Support—each with well-defined processes, inputs, outputs, and quality gates.

Simply introducing AI agents does not transform software delivery.
The real opportunity lies in engineering each SDLC phase with purpose, enabling specialized AI agents to augment individual roles before orchestrating them into a connected, governed, and measurable delivery lifecycle.
At Lead With Tech, we call this AgenticStack—an engineering-first approach to building Agentic SDLC. Instead of focusing on isolated AI agents, we focus on designing intelligent workflows, role-specific agents, governance, and seamless collaboration across the entire software delivery lifecycle.