September 18 - 19, 2025

Online

TechLead Conference 2025: AI in Orgs

Name: TechLead Conference 2025: AI in Orgs
Start: 2025-09-18T14:00:00.000Z
End: 2025-09-19T19:00:00.000Z

Event about leadership and seniority

Full remote ticket included with Multipass.

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Code of Conduct

In this edition of TechLead Conf we will focus on two pressing topics in 2025: adopting AI in organizations and challenges around it from tech leadership perspective, and how Senior engineers and leaders can work on reducing systems complexity. Learn directly from industry practitioners and real case studies ranging from startups to The Big Tech.

Sponsorship opportunitites

Supercharging Agile Teams with Generative AI

Upcoming

Supercharging Agile Teams with Generative AI

Kanika Tolver

Career Rehab LLC

Agile isn’t just a methodology—it’s a mindset. And in the era of Generative AI, that mindset is evolving. This session explores how Agile teams can integrate GenAI to boost collaboration, speed, and innovation across the software development lifecycle. Learn how AI can assist with user stories, sprint planning, retrospectives, and more—acting as a tireless team member. Real-world examples, prompt engineering tips, and the top tools to supercharge your stand-ups, backlogs, and burndown charts will be shared.

team productivity artificial intelligence

Transforming Your Tech Interviews in the AI Agent Age: The McDougall Method in Detail

Upcoming

Transforming Your Tech Interviews in the AI Agent Age: The McDougall Method in Detail

Anna J McDougall

Author "You Belong in Tech: How to Go from Zero Programming Knowledge to Hired"

Technical interviews are struggling to keep pace with the reality of modern software engineering in a time of AI agents. LLMs and their offshoots can now easily solve take-home assessments, and traditional DSA formats reward memorisation over real-world skills. So how can we accurately and fairly assess the technical abilities of engineers as part of a standardised hiring process? In late 2024, I began a redesign of the technical interview process at HelloBetter, a mental health tech company in Berlin. The aim was to create a format that actually reflects day-to-day engineering work, while also being time-conscious, inclusive, and accepting of the presence of AI in developer workflows. In the process, we created "The McDougall Method": a new and emerging framework for better interview processes which is quickly forcing technical leaders to rethink their AI mitigation strategies.

career artificial intelligence

Leadership Insights From Growing 2X in 8 Months

Upcoming

Leadership Insights From Growing 2X in 8 Months

Swizec Teller

Plasmidsaurus

How does it feel when your team more than doubles in less than a year? Like your brain was put in a blender and someone kept pressing the button. I joined a 7-engineer, 40 employee, startup in August, by May we were 14 engineers, 100 people, and I was a manager. These are my lessons.

scalability team productivity

I Don’t Know Everything, and That's the Job

Upcoming

I Don’t Know Everything, and That's the Job

Maya Shavin

Published author, international speaker and an open-source library maintainer of frontend and web projects

Becoming a Lead or Staff Engineer doesn’t mean having all the answers—it means knowing how to ask better questions, how to support others, and how to make smart decisions in ambiguity. In this talk, I’ll share what I’ve learned (and unlearned) stepping into IC leadership roles: how to grow influence without managing people, how to admit “I don’t know” with confidence, and how to use AI tools to save time, focus in where it's important and scale my impact. It’s less about being the expert, and more about enabling others—and yes, that’s the job.

career artificial intelligence

Prompt-Driven Operations: COO’s Playbook

Upcoming

Prompt-Driven Operations: COO’s Playbook

Anastasiia Zvenigorodskaia

Epicmax

How a tech COO uses prompt engineering to run financials, manage teams, and scale operations with clarity.I’ll share practical use cases of prompt engineering from inside Epicmax, a growing dev agency. I’ll walk through how I use LLMs for:- Financial reporting, forecasting, and margin control- Managing team capacity and delivery risks- Tracking KPIs and creating short-term and long-term strategy- Sales proposals, launching new products, finding market fit- Open source products management- Communicating with the company owner, pitching and validating ideas
You’ll get real prompts, workflows, and decision-making strategies to make AI a true part of your leadership toolkit - not just another tool on the shelf.

team productivity

From Chaos to Clarity: Managing Agentic System Complexity in Cloud-Native FinTech

Upcoming

From Chaos to Clarity: Managing Agentic System Complexity in Cloud-Native FinTech

Workshop

Sibasis Padhi

Overview: AI adoption brings system complexity, especially when autonomy, orchestration, and cloud-native microservices collide. Based on my published research and enterprise experience, this workshop breaks down the complexity of deploying agentic systems responsibly. This workshop is aimed at senior engineers who are navigating cloud-native architectures while introducing autonomous AI components, without a clear blueprint.Contents:1. The New Complexity Stack a) Microservices, AI, and third-party code generators b) Where system chaos starts and why it escalates
2. Understanding Agentic AI Behavior a) Autonomy, memory, and hallucination risk b) Real-world examples from financial decision support
3. Design Patterns for Clarity a) Guardrails for system observability b) Tradeoffs: orchestration vs code generation
4. Scalability Without Burnout a) What senior engineers must lead: governance, ethics, reliability b) Designing systems that scale safely under load
5. Takeaways a) Agentic adoption roadmap b) How to test and monitor non-deterministic AI c) Alignment with team velocity and business outcomes

design systems

The Intent-Driven Web: How AI is Reshaping Frontend Development

Upcoming

The Intent-Driven Web: How AI is Reshaping Frontend Development

Shaundai Person

Netflix

Advancements in AI have brought us to the cusp of a major shift in how we interact with the web. The future of frontend will no longer be about just rendering pixels; it will be about rendering intent.In this keynote, we'll dive into how AI will further close the gap between human intent and digital experience. AI is moving us beyond static components, empowering developers to create deeply personalized and intuitive web applications with a level of efficiency we've only ever dreamed of. Join me to explore how AI empowers frontend developers to craft richer user experiences through more thoughtful customization, smarter user-experience testing at scale, and accelerated innovation.

web development

Overcoming the Fundamental Misunderstanding About Technical Debt

Upcoming

Overcoming the Fundamental Misunderstanding About Technical Debt

J. B. Rainsberger

jbrains.ca

I have watched well-meaning programmers, technical leaders, and their managers pour their hearts and souls into managing so-called "technical debt" and I worry that they're not getting very far. I believe that a fundamental misunderstanding from the very beginning has led almost everyone down a dark, painful road towards bitter disappointment, endless bickering, failed projects, mounting Imposter Syndrome, and debilitating learned helplessness. Fortunately, I think we can reverse these trends, at least for ourselves, with a combination of techniques from Extreme Programming and general psychology. No, really! You might be surprised to learn that everyone truly wants the same thing, but that some complexities of the human mind have made that difficult to see. Overcoming this fundamental misunderstanding fits squarely into the category of "simple, not easy", so if we want to make progress, then we'd better start now!

team productivity

The Future of Engineering Teams: Humans Guide, Agents Code

Upcoming

The Future of Engineering Teams: Humans Guide, Agents Code

Workshop

Konrad Bujak

Most teams are still using AI as a glorified autocomplete, but the future is already here. I'll show you how engineering teams work when coding agents handle implementation while humans focus on guidance and oversight.I have built coding agents that have our team guidelines embedded - no more style guides or coding standards docs. You'll see agents that automatically follow our Next.js 15 patterns, Nx monorepo structure, shadcn/ui conventions, and more of our tech stack, while humans make small corrections that improve all future work.This isn't about replacing engineers - it's about scaling the possibilities of your team through agent multiplication instead of hiring and restructurizations. I'll demonstrate the workflow where the agent implementation is followed by human refinement, creating consistent quality that doesn't depend on human variability.

team productivity