Name: TechLead Conf London 2025: Adopting AI in Orgs Edition
Start: 2025-11-28T08:00:00.000Z
End: 2025-11-28T17:00:00.000Z

Technical leaders face the challenge of balancing innovation with governance when rolling out AI assistants across teams. This session offers a tactical view on operationalizing AI in software development - covering success metrics, telemetry, feedback loops, and enterprise guardrails. Based on the GitHub Well-Architected framework and broadened to general-purpose AI tools, we’ll explore how to create visibility into usage, address security and compliance risks, and ensure that AI-powered development doesn’t just happen - it scales with intent and trust. A must-attend for those building the platforms and policies of tomorrow’s engineering organizations.

From Experiment to Enterprise: Scaling AI Coding Assistants Across Engineering Teams

Maxim Salnikov

Gregor will be sharing both positive and negative trends that he's seeing, speaking with many engineering leaders across the industry. He'll also share how the role of engineering leaders is evolving, and tips on what to do to be a successful engineering leader in the age of AI.

How AI is Impacting Engineering Leadership

Gregor Ojstersek

Our world runs on IT built in the 80s and 90s by engineers who are now retiring. This is becoming very worrying for corporates who have critical systems running on legacy code that only a handful of people still understand.That's where GenAI arrives. With its almost magical transpilation abilities, it is the innovation that was needed to kickstart the legacy modernisations that had been postponed for too long.Having worked on critical modernisations for more than 15 years, I jumped on the opportunity to experiment with how LLMs can accelerate complex migration projects. I will share the concrete experience we have accumulated on a wide range of stacks (Swift-&gt;React-Native, Eclipse RCP -&gt; Spring Boot, Java 1.6 Spring -&gt; Java 21 Spring Boot, PHP ZF1 -&gt; Symfony 7), cover both the good surprises and the limitations that we uncovered, and share our current playbook to best leverage AI when migrating a legacy system.

AI-accelerated Legacy Modernisation

Fabrice Bernhard

As AI transforms software development, teams face a critical choice: lead the change, or risk being left behind! At Typeform, we're proactively encouraging the use of AI tools, and helping everyone level-up their AI proficiency.This means lots of things including the flexibility to try different tools, democratising access to (but controlling our expenditure on) LLMs, and ensuring we're hiring the next generation of engineers who have AI as part of their DNA.In this talk, I'll provide some practical examples of how we're achieving these things at Typeform, as well as how we're enhancing the way we collaborate with people outside of engineering using AI tools.I'll share real examples using AWS Bedrock and MCP servers, plus hard-won lessons from our journey. If your team is on the path to AI transformation, this talk will give you some practical strategies for making it a success.

Democratising AI in Engineering: Lessons from Typeform's Journey

Andy Kuszyk

TechLead Conference

I'm attending TechLead Conference 2025 – get your free remote ticket and join me there

The Conference for Tech Leads, Staff Engineers, and Technical Eng Managers.TechLead Conf 2025 tackles two critical challenges facing technical leaders today: navigating AI adoption in organizations and reducing system complexity. Through real-world case studies from startups to Big Tech, senior engineers and tech leads will share practical insights from the trenches.Engage in discussion rooms, hallway track with experts, hands-on practical workshops, and tens of insightful talks.

TechLead Conf London 2025: Adopting AI in Orgs Edition

FocusReactive

Hygraph

TechLead Conf London 2025: Adopting AI in Orgs Edition

Event about leadership and seniority