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Sometimes individual contributors are promoted to leadership positions and worry that they won’t be as hands-on as they used to be. Sometimes they worry that they no longer have time to stay up to date with modern technology and/or the state of their team’s code base(s). Sometimes it’s the other way around: Somebody who has never been hands-on in the technical realm is given a leadership position, and worries they’re “not technical enough”.

Whatever your position, this workshop will help you overcome your worries and figure out the best attitude and approach for you and your circumstances. 

Takeaways: 

• How to embrace the difference between individual contributor and technical leader
• How to take a step back from “knowing all the things”
• How to make the most of the knowledge and experience of your team
• How to identify when technical knowledge matters and when it doesn’t
• How to learn the things you need to know

But with so many variables that contribute to how successful a team is - how can you work out what to change to move the needle? And what should you be measuring in the first place?

Ready to go beyond theory and get practical? This workshop dives deep into DORA, showing you exactly how to apply data-driven insights in your real-world environment to identify bottlenecks, measure progress, and drive continuous improvement. From selecting key performance indicators to fostering a culture of learning, you'll walk away with actionable strategies to boost your team's velocity, reduce time to market, and achieve your goals.

However, many developers are still struggling to adopt AI tools in their day-to-day development process - partially due to AI Skill  Threat: when developers fear that the skills that have contributed to their success as code writers may become obsolete, thus threatening their identities as software practitioners.

In our research, 45% of developers reported AI skill threats. We also found that developers are poised and eager to address the threat they’re feeling, with 74% of developers reporting that they plan to actively upskill in AI-assisted coding tools and technologies.

In this workshop, we’ll tackle AI adoption inside engineering organisations head-on and help today’s technology leaders adopt AI-assisted coding tools and practices in a human-centred and evidence-based way. We’ll walk you through our Generative AI Adoption Toolkit – which comes complete with a benchmarking assessment adapted from our research – that allows organisations and teams to first benchmark their AI adoption readiness, and then respond appropriately to it with tools that allow you to meet your teams and engineers where they’re at in their AI adoption journey.

By the end of the session, you’ll walk away with an understanding of how your  engineering organisation can adapt to this new world of AI-assisted knowledge work in a way that protects the human intelligence of your organisation while preserving it.

We have to know how to prioritize, manage work to deadlines and perhaps the hardest - lead others. Our role means a shift from doing to guiding and supporting. We must know when to manage, mentor or coach. When we use these modalities well we build capacity in the team, increasing our ability to meet organisational goals. Along with it, people feel valued, we strengthen our culture and create a workplace where people want to come to work.

In this mini-workshop, we'll talk about the difference between each of these skills and how to know when to use them. You'll learn three key coaching skills and have the opportunity to practice deciding which modality to use. You'll walk away more confident in your ability to lead others.

However, many developers are still struggling to adopt AI tools in their day-to-day development process - partially due to AI Skill  Threat: when developers fear that the skills that have contributed to their success as code writers may become obsolete, thus threatening their identities as software practitioners.

In our research, 45% of developers reported AI skill threats. We also found that developers are poised and eager to address the threat they’re feeling, with 74% of developers reporting that they plan to actively upskill in AI-assisted coding tools and technologies.

In this workshop, we’ll tackle AI adoption inside engineering organisations head-on and help today’s technology leaders adopt AI-assisted coding tools and practices in a human-centred and evidence-based way. We’ll walk you through our Generative AI Adoption Toolkit – which comes complete with a benchmarking assessment adapted from our research – that allows organisations and teams to first benchmark their AI adoption readiness, and then respond appropriately to it with tools that allow you to meet your teams and engineers where they’re at in their AI adoption journey.

By the end of the session, you’ll walk away with an understanding of how your  engineering organisation can adapt to this new world of AI-assisted knowledge work in a way that protects the human intelligence of your organisation while preserving it.

We have to know how to prioritize, manage work to deadlines and perhaps the hardest - lead others. Our role means a shift from doing to guiding and supporting. We must know when to manage, mentor or coach. When we use these modalities well we build capacity in the team, increasing our ability to meet organisational goals. Along with it, people feel valued, we strengthen our culture and create a workplace where people want to come to work.

In this mini-workshop, we'll talk about the difference between each of these skills and how to know when to use them. You'll learn three key coaching skills and have the opportunity to practice deciding which modality to use. You'll walk away more confident in your ability to lead others.

Sometimes individual contributors are promoted to leadership positions and worry that they won’t be as hands-on as they used to be. Sometimes they worry that they no longer have time to stay up to date with modern technology and/or the state of their team’s code base(s). Sometimes it’s the other way around: Somebody who has never been hands-on in the technical realm is given a leadership position, and worries they’re “not technical enough”.

Whatever your position, this workshop will help you overcome your worries and figure out the best attitude and approach for you and your circumstances. 

Takeaways: 

• How to embrace the difference between individual contributor and technical leader
• How to take a step back from “knowing all the things”
• How to make the most of the knowledge and experience of your team
• How to identify when technical knowledge matters and when it doesn’t
• How to learn the things you need to know

But with so many variables that contribute to how successful a team is - how can you work out what to change to move the needle? And what should you be measuring in the first place?

Ready to go beyond theory and get practical? This workshop dives deep into DORA, showing you exactly how to apply data-driven insights in your real-world environment to identify bottlenecks, measure progress, and drive continuous improvement. From selecting key performance indicators to fostering a culture of learning, you'll walk away with actionable strategies to boost your team's velocity, reduce time to market, and achieve your goals.