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AI is changing how software teams work together
A new Stanford University study shows that AI is quickly changing how engineering, product, and design collaborate.
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In partnership with DronaHQ
Don’t underestimate low-code in an AI world
A low-code platform can limit the drawbacks of AI-generated code.
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How AI will change software engineering
No one can agree how AI will change software engineering. Here’s how to prepare anyway.
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AI coding mandates are driving developers to the brink
Under pressure to embrace AI, developers are growing frustrated by misguided mandates and are left to clean up any collateral damage inflicted on their codebase.
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The delegation formula that turns managers into leaders
Help your team thrive by assigning them tasks and avoiding micromanagement.
Editor’s picks
What is an engineering manager? Taking the step up
This fulfilling role takes you a step beyond a lead engineer. Find out how to best showcase your skills to land it.
London • June 16 & 17, 2025
Speakers Gergely Orosz, Camille Fournier
and Lara Hogan confirmed
Essential reading
On our Engineering Manager playlist
The Manager’s Path: Camille Fournier in conversation
A guide for tech leaders navigating growth and change.
Things I got wrong when preparing for my first Engineering Manager role
Ferit Topcu shares his own experiences in this transition, the errors I made, and how I overcame them.
What we talk about when we talk about leadership
Exploring key leadership themes from years in tech, this talk offers guidance and practical strategies to help engineers become the leaders they want to be.
On-call revolution: Building a culture of ownership and collaboration
Discover how innovative on-call rotations empower developers, foster team collaboration, and reduce complexity, creating a cohesive, ownership-driven culture that enhances service quality.
Managing authentically across levels
Learn how to manage engineers at all levels with practical tips for adapting your style to support growth and foster a thriving, high-performing engineering team.
The festival of engineering leadership
London • June 16 & 17, 2025
More for Engineering managers
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ChatGPT can get an engineering degree. What do we do now?
A study into how well generative AI can do at university examinations poses questions for hiring, employee retention, and development.
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How to launch high-impact engineering projects
The stakes are high, but a good plan and dedicated launch captain can keep these important projects on track.
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How DX Core 4 aims to unify developer productivity frameworks
Can it bring together DORA, SPACE, and DevEx, to help inform diverse stakeholders?
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Why 70% of engineers avoid measuring lines of code
And four other key findings from the 2024 LeadDev Engineering Team Performance report.
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Will AI replace the agile coach?
Agile coaches are already using generative AI tools to help with key rituals and go deeper, quicker.
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Is agile manifesting or preventing AI adoption?
In the rush to adopt AI, many organizations have forgotten – or conveniently overlooked – the fundamentals of agile software delivery.
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Why everyone’s suddenly talking about AI agents
What exactly are AI agents and how are they different from AI assistants?
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Why AI is creating more demand for managers
New research suggests that the adoption of AI is adding layers to organizational hierarchies.
Videos for Engineering managers
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Leading through scarcity: Building capacity in the team you have
Discover strategies to lead effectively through scarcity. Learn how to build capacity within existing teams, maximizing performance amid constraints and fostering sustainable growth.
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In partnership with StatsigHow to grow and scale your feature management process
What’s your approach to releasing and managing new features?
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Are we doing this right? Findings from the state of feature management and experimentation report 2024
Explore key findings from the 2024 State of Feature Management and Experimentation report, including trends, the engineering-product gap, and balancing optimization with safety.
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Becoming the leader you can be, in a changed technology industry
Explore how engineering leaders can navigate industry shifts, handle uncertainty, and rethink their roles in the evolving tech landscape through this reflective session on leadership.
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Beyond the headlines: Engineering leadership in 2024
Discover insights from LeadDev’s 2024 Engineering Leadership report, exploring how 1,100 engineering leaders feel about navigating industry challenges amid tech layoffs and AI hype.
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Build great engineering teams and have a positive social impact
On the back of working in the tech industry developing great products in highly competitive markets, how can we make society better? Germán and Seraphine will share the story of skills and talent meeting diversity and social impact.
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Think faster, talk smarter: Matt Abrahams in conversation
Watch the newest edition of Bookmarked where Suzan Bond was joined by Matt Abrahams to discuss think faster, talk smarter.
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50 shades of PR dark matter
In this short and fun talk (yes it’ll be fun!) – Avishag Sahar laments about the top blockers of PRs, but cheer up – because I’ll also provide insights into how to unblock them.
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The Software Craftsman: Sandro Mancuso in conversation
Learn how Sandro’s principles enable engineers to build the best software.
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We should all be declaring more incidents
You’re probably used to avoiding incidents at all costs, but they are actually the most effective tool you have to handle reactive work when things go wrong. In this talk, Martha Lambert looks at how to reframe incidents and use them to your advantage to make customers happier.
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How to completely fail at learning
Hywel Carver asks, are you being asked to do more with less? Are hiring ambitions lower than they were a couple of years ago? Are you finding it slow and painful to adopt new technologies? If the answer to any of these questions is yes, this talk is for you.
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Leading through AI-powered complexity: Balancing business priorities, innovation and resources
João Freiras discusses how leaders are automating through complexity and finding the right balance between the pressure to innovate, business priorities, resources, and the promise of AI business value.